IMG-5113


## Notre technologie :

Faites sereinement votre déclaration fiscale rapidement et sans erreur avec Young App. Notre technologie vous permet d’analyser des documents et des images dont les liasses fiscales. 

Nos data scientists ont travaillé dur pour cette technologie qui vous permet de récupérer les informations des liasses fiscales de type 2033, 2035, 2055, et les clés AA ou 100, le format de sortie est de type ‘ JSON’ qui peut être exploité par les développeurs IT. 

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![LIASSE 2035](//images.ctfassets.net/2veurc183hbw/1YC0PwDyqMst2HfpPzOglT/93d8d2a5f27f5c9d82f851d23e8b7bcc/Liasse_2035.jpg)

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## Automatisez votre flux de travail en 4 étapes simples :

* Ajoutez l'API OCR Young App dans votre système.

* Téléchargez les documents aux formats JPG, PNG ou PDF.

* Notre solution reconnaît, extrait et valide les données.

* Collectez des résultats modifiables et structurés en format 'JSON'.
https://developer.youngapp.co/reference/french-liasse-fiscale-beta

## Notre solution:

Notre solution API OCR peut servir aux entreprises de logiciels informatiques, financement de prêts, services de crédits notamment services financiers. Nous permettons également aux experts comptables d’évaluer la situation de l’entreprise.

## Besoin d’aide ?
** Consultez et testez gratuitement:**

https://console.youngapp.co/signup?api=liasses-fiscales 👈

Ou planifiez un rendez-vous avec nos experts techniques, ils sont là pour vous aider !


The financial analysis of a company consists of making restatements on the accounting documents to highlight the financial situation of the company. It is based on the documents produced by the accounts, in particular the tax return, which is mandatory according to the rules imposed by law.

An API solution for your tax closing 🇫🇷

The curiosity in artificial intelligence (AI) is taken to a whole new level these past years. Every day new startups, new tools, new innovations are growing. Two words, in the middle of all this interest: machine learning (ML). This term is now always mentioned when we talk about AI. Nowadays, though, people who interested in learning more about this technology won’t have time to go back to college or spend a whole year on a training course. For this reason, we decided to created this article. We will present our top 5 free AI or ML courses so you can be sure to have the basic knowledge as well.

Caption-6/Top 5 of Artificial Intelligence and Machine learning courses


## Google AI

[Go to courses](https://ai.google/education/)

![Google AI Platform](https://cdn-images-1.medium.com/max/2870/1*DCcOJr3sq4kC7feDVAFX3w.png)*Google AI Platform*

As you might understand, these courses are taught by Google and more specifically by some ML **experts from Google**. What we like about this formation is that it is open to all levels. Anybody can improve their skills in that way.

Moreover, the platform is well-designed. Indeed, you will have three options to fill in “I am”, “type of content” and “stage of ML content”. These three features will help you to find the right course, documentation, video, tutorials, or guide for you.

If you are still doubtful about Google AI, here are some content you can found:

* “Introduction to machine learning problem framing” (courses)

* “Machine learning crash course with TensorFlow APIs” (courses)

* “Responsible AI practice” (guide)

* “AI adventures: 7 steps of machine learning” (video)

## Stanford university — Coursera

[Go to courses](https://www.coursera.org/learn/machine-learning?aid=true#syllabus)

![Machine learning on Coursera platform](https://cdn-images-1.medium.com/max/2604/1*v4AlIoKsWMjNxagqml159w.png)*Machine learning on Coursera platform*

Coursera is a platform that proposes a** variety of different courses that are taught by universities all over the world**. You can find courses from HEC in Paris, Imperial College London in the United Kingdom, University of Amsterdam in the Netherlands, but also UPenn, Duke, Yale or Stanford in the USA, and much more.

If you visit the website, you will find many interesting ML courses. Through this article, we agreed to discuss the Stanford university formation. At the end of these courses, **you will know some effective ML techniques but also some of Silicon Valley’s best practices innovative about machine learning and AI**. What we appreciate with this Stanford class, is that you will gain both practical and theoretical knowledge.

The last point with this formation, know that all the courses are free, however, if you want the certificate, you will have to pay 79$.

## AI School by Microsoft

[Go to courses](https://aischool.microsoft.com/en-us/machine-learning/learning-paths)

![AI School website](https://cdn-images-1.medium.com/max/2878/1*sovpo1pKuk0JF3Sn0oREcg.png)*AI School website*

AI School is a Microsoft platform, and like Google AI, **it’s available to beginners and experienced people**. More than an intuitive website, what is interesting about AI School by Microsoft, is that you can find short 2-hour courses like “Deep learning explained” as well as education programs.

For instance, you can do the “object recognition using a custom deep neural network model” formation of 205 hours. However, if any training seems too long, you do have the option to choose which class you want to take. If we are taking back the 205 hours formation, you can opt to follow just the “object detection and classification” course of 2 hours.

As you can see, AI School is a fruitful platform with multiple free courses on artificial intelligence, deep learning, machine learning, etc.

## Udacity

[Go to courses](https://www.udacity.com/school-of-ai)

![Udacity website](https://cdn-images-1.medium.com/max/2880/1*8CzT7L1ScvrJNc4b824P_A.png)*Udacity website*

If you are interested in IT and you want to develop your skill, you certainly have heard about “Udacity”. **This website allows you to learn different programs in IT or deep tech that is divided into 6 different categories**:

* Programming

* Data science

* Artificial intelligence

* Autonomous systems

* Cloud computing

* IT business

As you can imagine, you will find the machine-learning courses in the AI programs. It contains some classes for beginner, intermediate and advanced learners. This means that you can find courses like “Intro to ML with PyTorch” (beginner); “Deep learning” (intermediate); “Computer vision” (advanced).

Finally, what we like about this platform, is that **the courses cover a large variety of topics.** Moreover, you have a specific estimation period before you start. For example, with the “Deep Learning” course, you can see “4 months at 12 hours per week.” Before this forecast, you have a segment called “What you will know” that prepares you for this training.

## Element of AI

[Go to courses](https://course.elementsofai.com/)

![Element of AI platform](https://cdn-images-1.medium.com/max/2876/1*K-z4Q96vhzALVW5wrJe_fA.png)*Element of AI platform*

In the fifth position, we have Element of AI! This website gives you access to free online courses created by the company Reaktor and the University of Helsinki. **Their purpose was to make AI accessible to everyone**.

Therefore, the courses available on this platform are mostly for beginners. You will find 6 chapters from “What is AI?” to “AI problem solving” passing by “Machine learning”. Following Element of AI courses, will allow you to acquire a solid foundation on AI.

What we like about it, **is the user-friendly interface** but also the fact that **their courses combine theoretical knowledge with practical exercises**.

If you are interested in machine learning, know that at Young App, we are using this process in our **OCR technology**. Our purpose is to help companies to automate workflow by using the OCR solutions. If you would like to develop automation skills, don’t hesitate to visit our [website](https://youngapp.co/) or even [make an appointment](https://meetings.hubspot.com/gerard-toko/request-demo). We will be more than happy to be your advisors.

Image-6/Top 5 of Artificial Intelligence and Machine learning courses

Top 5 of Artificial Intelligence and Machine learning courses

Nowadays, digitalizing and automating financial operations become crucial for any company.

Caption-6/Extracting data from receipts


We provide you with APIs created to automate extracting data from any receipt documents so you could speed up e-commerce, warehousing, online shopping, or any other activity to level-up business effectiveness with your customers and partners.

What is more important, such an approach provides advanced accuracy because the data are being extracted automatically, excluding human error.

Therefore, instead of routine re-typing and copy-pasting data, you could use released time for things that matter the most.

## Challenge

* Automate the process of data extracting.

* Extract and classify the data.

## Solution

Implement Young App connector to extract, recognize, and classify data.

## Result

* The workflow demonstrates in action AI, OCR, and high-performance databases for better case management.

* To manage your documentation, no need to manually handle data.

* The workflow will recognize, extract, classify, and store data on your servers (we do not store your data).

An OCR workflow allowing you to win some time on the accounting process by automating extracting data from receipts and invoices (bills).

Image-6/Extracting data from receipts

Extracting data from receipts and invoice

An OCR workflow allowing you to win some time on the accounting process by automating extracting data from invoices (bills).

Caption-6/Automated the accounting process


## Context

Accounting and banking are both sectors that require multiple time-consuming tasks. These repeated missions can also impact the productivity of many employees. Nevertheless, today we assist in the rise of tools that allow us to automate all these processes. Indeed, automation technologies such as RPA are expected to have a potential economic impact of [6.7 trillion dollars by 2025](https://www.accountingtoday.com/opinion/the-challenge-for-cpa-firms-applying-rpa-in-the-real-world). Moreover, tools like OCR can also be an alternative to RPA and help you to automate your accounting or banking processes. This is what we will analyze in this use case.

Before beginning, let’s clarify two words that are going to use a lot in this article: invoice and bill. Invoice is the document issued by us, and the bill is the document issued by another company for us, so we are issuing invoices and receiving bills.

## Challenge

* Extract information from invoices (bills) using OCR technology.

* Add possibility to search, edit, and classify invoices (bills).

## Solution

* Connect OCR API to company software

* Train software using ML algorithms

* Recognize, collect, and classify information over APIs

* Enable converting data and storing in databases

## Result

At the end of this automated workflow, we can observe that the data are being extracted in seconds by autoscanning and classifying documents. Compliance checks and structuring data are provided so invoices may be quickly reviewed and analyzed.

Finally, you won’t have to waste hours on entering accounting invoices (bills) to the system thanks to the OCR technology.

If you decide to automate your accounting, at Young App, we will gladly help your company with all API & OCR projects you may have.

Image-6/Automated the accounting process

Automated invoice accounting process

In our previous article, we have put in the light the OCR technology tools. We saw what it is, how it works, and some actors of the market. Market, that by the way, will reach real growth by the end of 2025. In view of this information, you probably ask yourself how to take advantage of OCR technology. This article will help enlighten your little bulb. Indeed, we will expose you 3 ways of using OCR APIs to improve your business.

Caption-6/3 ways of using OCR APIs to improve your business


## **OCR for banking and finances industries**

Nowadays, the banking and finance industry are two sectors using the most of data. Whether to create a bank account, make a loan, or just to do some accounting, companies have to collect and aggregate an ocean of data. To help professionals in this sector, companies like Young App are proposing OCR API for bank statements.

**1- Accounting**

If you are in the accounting department of your company, using OCR technology will allow you **to automate time-consuming tasks**. To support banking, finances, and accounting, **OCR technology can automatically extract data** from invoices (bills), quotes, bank statements, receipts, etc. To operate, the only mission of the manager will be defining data to extract and uploading the document to the system. Then, **with the help of machine learning** (ML) and **artificial intelligence **(AI), OCR software will collect the data by recognizing, extracting, validating, sorting, and structuring them.

![](https://cdn-images-1.medium.com/max/3840/1*zC4MZtgCe_GaK5I2YduRcQ.png)

**2- Bank statement**

Our second example here will be for the bank department. Indeed, one of the most repeated tasks is money transferring. With the OCR technology, bank employees won’t have to use money-counterfeit-detector machines because the OCR** software will be trained to understand whether a banknote is real or not**.

## **OCR for tourism and transport industries**

In this part, we will analyze the intervention of OCR technology in three different cases: traveling tickets, counting passengers and goods, scanning bar code of containers

**1- Traveling tickets**

With the rise of digital technology, the tourism industry has also seen some changes. One of the most relevant transformations, it’s naturally our traveling ticket. Nowadays, we are even talking about “e-tickets”, for the simple reason that we don’t need paper tickets anymore. A simple QR code on the mobile phone can make the job.

If you are still wondering how it is possible, the answer stays in these 3 letters: OCR. **This technology will extract, recognize, and validate data**. And the bonus here, it allows to reduce the waste of paper.

**2- Counting passengers and goods**

If you work in the tourism industry and more precisely with groups, these few lines might interest you. To provide a better traveling experience for touristic groups, applying OCR with AI can get really helpful. Still, **with ML and AI, the software can determine whether all the passengers are on board or not**. In that way, you will no longer have to lose 20 minutes just to see if everybody is really on their places.

If you are not a big fan of biometric, OCR technology can also help you but this time with a bracelet. After the system will scan your group members’ bracelets, you will see who’s missing.

**3- Scanning barcode**

Since we are speaking of scanning bracelet, let’s have a closer look at this functionality. If OCR technology is known for something it’s clearly its capability of scanning. Let’s take the example of traveling tickets before onboarding. Earlier, we were saying that OCR can be a main factor in creating e-tickets. Here, we will see that it can also be a great help with the onboarding process.

With its scanning feature, an **OCR software can also scan your flight tickets, for example, and determine whether you are a passenger of the flight**.

Another case to show applying of OCR technology. In the transport industry, professionals have to deal with a huge amount of containers or parcels. **Using an OCR for document recognition will allow the company to scan the barcode of a container and to classify it**.

## **OCR for ensuring security by preventing fraud and anti-money laundering (AML)**

Finally, our last use case will be the OCR for security as you can read in the title. In this scenario, OCR allows you to scan KYC-docs and also to compare received information with details stored by banks, government, etc. The software will also use the database to be sure that these people are real and their documents are valid and not expired.

In order to check if an ID card/passport, insurance, bank statement, license docs, or other document is fake or not, OCR will be trained to examine every detail. It will analyze the tiny details that is hard to catch with human eye — colors shades, the font, the position of characters, the alignment of corners, so many little aspects can show whether the document is original and valid.

As you can see the OCR technology can become a true assistant in your digital transformation or just for your company. From text vision to data validation, face, or document recognition, this software will be a real performance engine for your company in the next years. At Young App, we believe in OCR potential, and that is why our mission is helping companies in their digital transformation.

Image-6/3 ways of using OCR APIs to improve your business

3 ways of using OCR APIs to improve your business

Caption-6/Extracting data from identity documents


We provide you with APIs created to automate extracting data from identity documents (ID card, passport, insurance card, etc.) so you could speed up e-commerce, warehousing, online shopping, or any other activity to boost business effectiveness with your customers and partners.

What is more important, such an approach provides advanced accuracy because the data are being extracted automatically, excluding human error.

Therefore, instead of routine re-typing and copy-pasting data, you could use released time for things that matter the most.

## Challenge

Automate the process of data extracting from identity documents.

## Solution

Implement Young App connector to extract, recognize, and classify data:

* Name & surname

* Issue date

* Expiry date

* Place of issue

* ID number

## Result

* The workflow demonstrates in action AI, OCR, and high-performance databases for better identity management.

* To manage your documentation, no need to manually handle data.

* The workflow will recognize, extract, classify, and store data on your servers (we do not store your data).

Image-6/Extracting data from identity documents

Extracting data from identity documents

Caption-6/Extracting data from description on shipping packs, boxes, and containers


We provide you with APIs created to automate extracting data from any packaging surface so you could speed up delivery, warehousing, online shopping, or any other activity to boost business effectiveness with your customers and partners.

What is more important, such an approach provides advanced accuracy because the data are being extracted automatically, excluding human error.

Therefore, instead of routine re-typing and copy-pasting data, you could use released time for things that matter the most.

## Challenge

* <p>Automate the process of data extracting from package surfaces.</p>

## Solution

* <p>Implement Young App connector to extract, recognize, and classify data.</p>

## Result

* The workflow demonstrates in action AI, OCR, and high-performance databases for better logistics management.

* To manage your documentation, no need to manually handle data.

* The workflow will recognize, extract, classify, and store data on your servers (we do not store your data).

Image-6/Extracting data from description on shipping packs, boxes, and containers

Extracting data from description on shipping packs, boxes, and containers

The workflow allowing to optimize filling loan applications by autoextracting data that will result in reducing input errors and approving loans in seconds.

Caption-6/Optimizing loan applications processing


## Context

According to [Banque de France](https://www.banque-france.fr/en/statistics/loans/loans/loans-size-firms), “at the end of May 2020, **the outstanding amount of drawn credit reaches 1,140.3 billion euros**, up by +10.8% year-on-year, after a rise of +8.2% between April 2019 and April 2020.” This statement shows us clearly that **the “loan industry” is still in growth**. And this is not a surprise when we know that a loan can be made for a lot of reasons: real estate, car, studies, etc. Nevertheless, this transaction can be truly time consuming and difficult. In this use case, we will see how OCR technology can improve this process.

## Challenge

* Extract data from scanned personal (ID card, passport), bank (bank statement), accounting (invoice/bill, receipt), legal documents (KBIS), and customs documents (contracts, reports, etc.)

* Speed up screening and sorting application documents

* Streamline auditing and reporting

* Simplify compliance

* Structure collected information to review and analyze problem cases

## Solution

* Connect OCR API to company software

* Train software using ML algorithms

* Recognize, collect, and classify information over APIs

* Enable converting data and storing in databases

## Result

At the end of this use case, we can observe that the data are being extracted in seconds through auto-filling with facilitated scanning and classifying documents. Compliance checks and structuring data are provided so problem cases may now be quickly reviewed and analyzed. Workflows and data searching are optimized to ensure better user experience. And finally, loan applications can be fulfilled and processed in-the-blink of an eye.

If you are interested in the automated processing of loan applications, at Young App, we are helping companies with OCR projects.

Image-6/Optimizing loan applications processing

Optimizing loan applications processing

A workflow that can help simplify patient data processing in the healthcare sector.

Caption-6/Digitizing the healthcare industry


## **Context**

The health sector needs a lot of data management. Whether you're in the pharmacy, in the hospital, in the laboratory, you are always confronted with a lot of data to collect. In the past few years, big data has played a significant part in the healthcare industry, making it more dynamic and competitive. In this use case, we will show you how OCR technology can be the core of this automated workflow.

## **Challenge**

* Scanning and extracting data from prescriptions, medical reports, test results, etc.

* Possibility to systematize scanned information and to store it in convenient formats.

* Digitizing archives.

* Storing printed documents in patient electronic health records.

## **Solution**

* Connect OCR API to medical databases

* Train the OCR to recognize every data from any document

* Apply auto-filling forms to save time

* Recognize, collect, and classify information

* Enable converting and storing information in databases


## **Result**

* An automated workflow helping the different departments in healthcare.

* A better organization and data exchange between different specialists (family practice physicians; laboratory assistants/technicians; doctors, etc.). Indeed, with the API-trained OCR linked to their systems and databases, every health record will be classified. In that way, every medical transaction is going to be easier and less time-consuming. At [Young App](https://youngapp.co/), we are guiding companies in their digital transformation journey with our OCR. We help them to improve productivity by automating processes. If you want to know how OCR can help your organization, we recommend you to explore other use cases.

Image-6/Digitizing the healthcare industry

Digitizing the healthcare industry

In this article, we review the features and pricing of the most popular API management tools that are microservice platforms for integrating applications by connecting their APIs.

Caption-6/Top 10 API management tools


## What are the benefits of API platforms?

API ensures interaction between web-based systems allowing applications to communicate with each other on the back-end level. API manipulates data and accelerates quicker connectivity between apps and devices.

With API, a back-end system allows companies to put up for sale online products and services. An application programming interface enables accessing services by assigning codes to applications, therefore, advancing connectivity and expanding functionality.

Uniting applications, APIs maintain seamless communication. For instance, taxi apps like Uber use API to show the passenger and driver online location on the map. Integrating API simplifies businesses and brings noticeable benefits for clients.

## API integration? Sure, we need it!

Let’s consider why by exploring the following motivations.

### Linking web-based apps

Almost any market has thousands of web-based apps. Statistics show that [an average employee uses at least 8 apps](https://www.blissfully.com/saas-trends/2019-annual/) and every department in the modern company is gaining benefits of SaaS apps:

![Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)](https://cdn-images-1.medium.com/max/2000/1*qR09jD8n9_m2U7ZiW036sQ.png)_Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)_

Along with companies’ growth, the number of apps per the company tends to increase on a linear basis. This happens because companies in the process of their growth step-by-step are adding new apps. This may happen as a result of specialization or inefficiency (for example, keeping multiple apps that duplicate each other work in the same way).

![Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)](https://cdn-images-1.medium.com/max/2000/1*eqKBpUin2kvOeLpQ4ZWosw.png)_Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)_

![Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)](https://cdn-images-1.medium.com/max/2000/1*l7gfUDAptROnT_WK78j9zg.png)_Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)_

For communicating with cloud apps, API is the best option. The better applications connected, the more quick, transparent, and smooth communication between teams and departments. API integration platforms are extremely helpful in connecting apps because they are hosted in the cloud (necessary for updates, backups, and scalability) and propose low-code development (saving budgets because of no need to hire many developers).

### Meeting needs

Within a department of any company, different teams are working on the same goals — bringing happiness to customers and optimizing the processing.

The distributed departments create their customized solutions that may be applicable to specific platforms and within particular departments only.

The challenge comes when attempting to meet the market needs, companies decide to centralize management and unify company processes. Integrating customized solutions, which were inconsistently developed by various departments, takes a lot of time because the company must provide additional teams to connect different solutions.

With API integration platforms, no extra resources needed, so departments can in hours integrate all cloud apps and tools within the whole company.

### Building new APIs quickly and easily

When you need new APIs, you can:<br/>
(1) **create your own APIs from scratch**,<br/>
(2) **use APIs from third-party providers**.<br/>
Building from the very beginning, you need to bear development costs and take into account implementation hours. With the API integration platform, you have a faster option to create new APIs in a few clicks and drag-and-drops in such a way of releasing precious time.

### Receiving history

Every company has old databases that are not in use anymore but contain useful information. To extract it, API platforms can be extremely convenient. For example, a company may create APIs using which, internal users will retrieve and use data from old servers applying business logic to workflows that are already working.

### Developing new apps becomes easier

With an API integration platform, teams can quickly and simply connect contrasting technologies or reveal existing integrations as APIs or microservices to deliver new apps to the market.

### Managing existing apps becomes more effective

Integrating applications, you may see their list centralized from your account, on the page with existing integrations. This prevents forgetting about applications that are not in use anymore additionally reminding to stop the subscription. Numbers show the software toolset is more expensive than the hardware it runs on. For example, in 2018, the average cost per employee of SaaS subscriptions ($2,884) was higher than the cost of a new laptop ($1,299 for an Apple Macbook Pro). Because more companies move to run entirely on cloud, the spends gap between software and hardware is expanding.

<p class="article__blockquote">
  Software toolset is more expensive than the hardware it runs on.
</p>

An astonishing 71% of companies have at least one SaaS subscription without a billing owner. This usually means the person who purchased the app on the company behalf has left the organization and dropped the app “orphaned.”
No one monitors the cost spent on the app, when it renews, or if
anyone is even using it.

<p class="article__blockquote">
  Orphaned apps can cost organizations quite a bit, with the average organization spending $710 a month ($8,520 annually) per subscription that may or may not be in use.
</p>

By the way, costs are only one concern. The security and data privacy risks of these apps can have a much greater impact.

![Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)](https://cdn-images-1.medium.com/max/2268/1*g3xP-2tTSgFnLtGEu1h-ag.png)_Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)_

Also, larger companies often have duplicated subscriptions, where multiple teams are using the same app but have not put it under one contract. As a result, companies are paying more than necessary. Duplicated subscriptions can be easily revealed by periodically checking the list of integrations in the API platform account.

![Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)](https://cdn-images-1.medium.com/max/2218/1*q25_q07ze_SFra1BjR3tZA.png)_Source: [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)_

### Forming a strategical approach

Numerous companies, where APIs are being created manually, need to synchronize different teams of developers to get things well-functioning.

The departments have a deficit of integration resources to add more specialists to handle specific apps. Using API integration platforms, the development teams can focus their efforts on strategic goals rather than on routine execution.

### Advancing productivity

API platforms improve productivity by saving the time and energy of IT and non-IT departments. Released resources may be invested in managing, monitoring, fixing and improving APIs. Being also created for non-professional (citizen) developers, API platforms allow non-technical teams to create and manage applications minimizing the load on technical departments.

### Managing API on one platform is more convenient than managing API from different providers

By serving as one pane for all deployed and created APIs, the API platform simplifies management and security. APIs made by third-parties, as a rule, propose user guides and documentation but reaching them for every specific query is time-consuming. Most of the API integration platforms provide experts which can give some advice if necessary.

### Flexibility challenged by rushing technologies

Every second, the world transforms in the blink of an eye, and this tempo has no signs of slowing down. Quickly increasing new functionality by adding new apps is the scalability magic of integration platforms. Therefore, companies might be sure they could quickly add or remove new capabilities, which is needed for company growth.

Now, after reading about the benefits of API platforms and being motivated by the idea of integration, you are ready to connect apps using one platform to effortlessly automate business processes!

The next task is to pick up the vendor who provides the platform meeting your needs.

## Apigee API Management

[Visit website](http://cloud.google.com/apigee/)

**Overview**

The cross-cloud API platform providing control and visibility into the APIs that connect applications and data across the enterprise and across clouds. Quickly builds and delivers modern applications. Flexible in scaling and optimizing costs. Takes better decisions through analytics.

**Features**

Apigee by Google Cloud offers many cloud-centric scalability benefits and API management toolsets. The key selling point for Apigee is to generate analytics. Apigee proposes a broad line of analytics from API traffic visualization to machine-learning algorithms used in detecting issues within the codebase and other such anomalies. The API data could also be delivered into Google BigQuery via a custom endpoint.

**Pricing**

$500/month for teams, $2,500/month for businesses. [More information](https://cloud.google.com/apigee/pricing).

## Kong Open-Source API Management

[Visit website](https://getkong.org/)

**Overview**

Secures, manages & extends your APIs and microservices. Provides the open-source API Gateway and Microservices Management Layer delivering high performance and reliability.

**Features**

Kong takes an open-source approach to API management. The huge advantage of Kong is working equally great with containerized systems as well as with cloud solutions. This creates a great choice for providers using proprietary APIs or APIs that are distributed over multiple data centers and systems. [More information](https://konghq.com/subscriptions/).

**Pricing**

Opensource edition is free. Company pricing is being provided by vendor’s request. For more details, [contact Kong company](https://konghq.com/contact/).

## 3scale API Management Platform

[Visit website](https://www.redhat.com/en/technologies/jboss-middleware/3scale)

**Overview**

3scale is the API infrastructure that provides simple management of your APIs for internal or external users. You may share, secure, distribute, control, and monetize APIs with the API platform created for performance, customer control, time-to-value, and growth.

**Features**

3scale provided by Red Hat is designed for performance and control. Extensive control paired with scalability defines the value proposition that 3scale notes in its own official marketing materials as delivering “excellent time-to-value”. The system is placed on a distributed cloud-hosted layer ensuring superior scalability when compared to more traditional platforms.

**Pricing**

$750/month for pro; companies need to [contact Red Hat](https://www.redhat.com/en/contact#?).

## Broadcom API Management

[Visit website](https://www.broadcom.com/products/software/api-management)

**Overview**

Secure APIs with an API Gateway.

**Features**

Connects systems and applies consistent security and governance to your APIs. Layer7 API Gateway is an extensible, scalable, and high-performing gateway for connecting your sensitive data and applications across any combination of clouds, containers or on-premises environments. Layer7 API Gateway is offered as a standalone solution or as part of Layer7 API Management.

**Pricing**

Depends on your region, please visit [How to buy](https://www.broadcom.com/how-to-buy) page for more details.

## Young App API Management

[Visit website](https://youngapp.co/)

**Overview**

Low-code API Management platform for workflow automation. Proposes cloud ([Cloud Edition](https://manual.youngapp.co/cloud-edition/developer-guide/untitled)) and opensource ([Community Edition](https://manual.youngapp.co/community-edition/)) versions.

**Features**

YAP provides the effective mechanisms to sync all data and configure secure workflows enabling essential base for flexibility and growth:

* AI connectors integration

* API and process flow management

* Integration with multiple apps

* Optical character recognition

* Resilient workflows

* Customizable dashboard

* User-friendly pipeline builder for integration processes

**Pricing**

Depends on the platform access subscription and personalized support based on your needs: Standard ($540/month), Professional ($2170/month), Company($7590/month); consulting ($976/day). For more details, visit the [pricing page](https://youngapp.co/en/pricing/).

## IBM API Connect

[Visit website](https://www.ibm.com/cloud/api-connect)

**Overview**

The IBM Cloud is the cloud for advanced business.

**Features**

A recognized solution is IBM API Connect. IBM has a detailed history in the computing industry being highly experienced with enterprise-level support and tooling. IBM Cloud is a great option for any enterprise solution.

**Pricing**

Enterprise: $100/100K API calls. Enterprise 25 M: $40/100K API calls thereafter. [More information](https://www.ibm.com/cloud/api-connect/pricing).

## Dell Boomi

[Visit website](https://boomi.com/)

**Overview**

Enterprise Integration Platform as a Service. No hardware or software to manage. Automatic upgrades. Secure and scalable. Builds, deploys, and manages integrations with remarkable ease. Creates, publishes, and manages APIs throughout their lifecycle. Monitors your trading partner network and transactions. Aligns and improves data across all your applications.

**Features**

Like IBM, Dell is well-known in the company world. For many reasons the IBM Cloud offering is attractive to enterprise developers. Dell Boomi proposes an equally attractive toolset for integration.

**Pricing**

The monthly plan starts at $549/month.

## Oracle API Manager

[Visit website](https://www.oracle.com/middleware/soa/api-manager.html)

**Overview**

Creates, publishes and manages APIs. Oracle API Manager facilitates creating APIs that expose the functionality of backend systems and services. These APIs are published for use by application developers and are managed and monitored at runtime.

**Features**

Rounding out the more traditional enterprise offerings in this industry is Oracle. Oracle is famous for its variety of network and operational systems, and as expected, their API Manager is likewise designed for ardent and full-featured support of intricate back-end systems. Oracle also offers support for smaller APIs and seems keen on delivering scalability at almost any level.

**Pricing**

Depends on the platform. For more details, visit [Oracle pricing page](https://www.oracle.com/cloud/integration/api-platform-cloud/pricing.html).

## MuleSoft API Management Platform

[Visit website](https://www.mulesoft.com/platform/api/manager)

**Overview**

In a few simple steps, API Manager enables you to manage users, monitor, and analyze traffic, promote, and secure APIs with ordered policies. Provides the API management for every connection made to backend services and data sources with the Mule runtime engine, a single runtime deployable as an integration engine and an API gateway. Wherever your APIs are hosted and whatever technologies they run on, API Manager lets you keep tabs on the APIs in your application network from one place.

**Features**

Like other platforms on this list, MuleSoft is particularly concerned to provide an API management platform focused on security. It ensures this by offering both OAuth and SAML implementations and the utilization of runtime custom policies, creating unparalleled control for a proxy-based system. API Manager is relatively agnostic in terms of what it supports — actually, it would be a challenge to find something that MuleSoft’s solution does not support.

**Pricing**

[Contact Mulesoft.](https://www.mulesoft.com/anypoint-pricing)

## Azure API Management

[Visit website](https://azure.microsoft.com/en-us/services/api-management/)

**Overview**

Using Azure API Management as a turnkey solution for publishing APIs to external and internal customers. Quickly develops well-structured and modern API gateways for existing back-end services hosted anywhere, secures and protects them from abuse and overuse, and gets insights into usage and health. Additionally, automates and scales onboarding developers to help get your API program functioning.

**Features**

Azure API Management offers multiple functions, and if that were the only element of their feature set, it would be difficult to differentiate it from others on this list. Microsoft Azure is a fully-featured cloud computing platform, and as such, the API Management solution offered from Azure itself offers the “turnkey solution” — the quick time to market, backed by one of the most powerful cloud computing platforms in the world, could make Azure API Management truly a great choice.

**Pricing**

Enterprise $100 per 100K API calls, $40 per 100K calls thereafter (and additional pricing plans).

## References

- [2019 SaaS Trends report | Blissfully | 2019](https://www.blissfully.com/saas-trends/2019-annual/)

- [The 10 Essential SaaS Trends You Should Watch Out For In 2020 | DATAPINE | 2020](https://www.datapine.com/blog/saas-trends/)

Image-6/Top 10 API management tools

Top 10 API management tools

Building workflow to minimize time-consuming tasks by applying optical character recognition (OCR) technology based on machine learning (ML) and artificial intelligence (AI).

Caption-6/Minimizing time-consuming tasks using OCR based on ML and AI


One of the most time-consuming tasks for bankers undoubtedly will be reporting. For opening an account, for dealing with insurance or with a loan, supporting documents are always to be created.

Good news: solutions to fight hours of reporting exist! 
One of them is Young App automation platform.

Today, applying the best practices of OCR, ML, and AI technologies, companies could improve their effectiveness by minimizing time-consuming tasks.

## Challenge

* <P>Quickly extract and aggregate large volumes of data.</p>

## Solution

* Install connectors allowing to read account statements or invoices by applying OCR, ML, and AI.

* Implement connectors to automate bank transactions.

## Used connectors


<div class="article__content-image-row">
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*44fKHudVfusWfupUAtD6cQ.png" alt="Amazon S3" />
      <div>Amazon S3</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*uMrBs19HZf20RL1M_peEuw.png" alt="ROSSUM" />
      <div>ROSSUM</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*pjcwNvbnGPYQ0JXcU7np3A.png" alt="CSV" />
      <div>CSV</div>
    </div>
    
  </div>

## Workflow


(1) Save documents to [Amazon S3](https://aws.amazon.com/s3/?nc1=h_ls).

(2) Extract data with [ROSSUM](https://rossum.ai/)’s OCR.

(3) Export data to CSV format.

## Results

The workflow quickly extracts data by applying OCR, and by this, significantly saving bankers’ time. From now, no need to spend hours reading and re-typing or copy-pasting information from administrative documents.

Image-6/Minimizing time-consuming tasks using OCR based on ML and AI

Minimizing time-consuming tasks using OCR based on ML and AI

Building the workflow to automate creating and sending quotes.

Caption-6/Automated issuing and sending quotes


Sending quotes — seller’s offers to perform the work — is a crucial step in the new customers’ acquisition process. Indeed, the quote can either lead to negotiating or to accepting/refusing offers.

Thanks to the Young App, sending quotes can be automated.

## Challenges

* Extract and classify data.

* Automate sending emails.

## Solution

* Implement connectors that allow us to extract data from a PDF file and classify them.

* Implement connectors combining sending data to a CRM and sending email notifications.

## Used connectors

<div class="article__content-image-row">
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*dtNElNUMeArsqHofYfTfkw.png" alt="Typeform" />
      <div>Typeform</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*Llx_gx3JCU--Jo3ACXMpmw.png" alt="PDFMonkey" />
      <div>PDFMonkey</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*SCaIlks7e4RyS09QHhuY0A.png" alt="Salesforce" />
      <div>Salesforce</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*YNlz-ejuxTwuWyorIGKF1A.png" alt="Amazon SES" />
      <div>Amazon SES</div>
    </div>
    
  </div>

## Workflow

(1) Filling data with [Typeform](https://www.typeform.com/) to add the information to the quotes.

(2) Issuing quotes with [PDFMONKEY](https://www.pdfmonkey.io/).

(3) Injecting data to [Salesforce](https://www.salesforce.com/).

(4) Emailing a notification that the quote is ready ([Amazon SES](https://aws.amazon.com/fr/ses/)).

## Results

The automated workflow assists in commercial services by generating and sending commercial quotes. What is especially convenient, data is being sent directly to your CRM.

With Young App connectors, you won’t have to write quotes, send them and every time push your partner to answer. All these tasks are automated on the Young App API integration platform.

Image-6/Automated issuing and sending quotes

Automated issuing and sending quotes

A workflow allowing check-in automation for the hotel and catering industry.

Caption-6/Self-check-in at hotels with OCR


Today as always, check-in at some hotels can take a while and become quite frustrating. In this case study, we will discover how formalities due to check-in can be settled in less than 5 minutes. The miracle tool – OCR. Let’s discover this automated workflow!

## Challenge

* Quickly extract data from passport and other documents

* Build automated processes for check-in

## Solution

Install OCR connectors to collect and classify data.

## Results

* With [Young App](https://youngapp.co/) API OCR solution, guests can complete all the check-in formalities by themselves. The check-in will no longer be a time-consuming task for guests and for the hotel staff, who every time type customers’ details into their system.

* If you are building hotel and catering industry and you want to try Young App solution, just click this link and [choose an appointment for a demo](https://meetings.hubspot.com/gerard-toko/request-demo).

Let’s enrich hotels & catering with hi-tech!

Image-6/Self-check-in at hotels with OCR

Self-check-in at hotels with OCR

Caption-6/Extracting data from bank statements

Image-6/Extracting data from bank statements

Extracting data from bank statements

Caption-6/Automated reporting


Reporting is an essential action for any organization. Reporting provides visibility in monitoring all-level processes to ensure progress and provide solid ground for building strategy. Being aware of the importance of reporting for any company, Young App offers a platform to automate this process.

## **Challenge**

* <p>Automate reporting.</p>


## **Solution**

* <p>Implement the extracting connector, storage base, and notifications.</p>

## Used connectors

<div class="article__content-image-row">
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*SCaIlks7e4RyS09QHhuY0A.png" alt="Salesforce" />
      <div>Salesforce</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*pjcwNvbnGPYQ0JXcU7np3A.png" alt="CSV" />
      <div>CSV</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*YNlz-ejuxTwuWyorIGKF1A.png" alt="Amazon SES" />
      <div>Amazon SES</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*lYNUu3sWf6FCtQEfp5oHAQ.png" alt="Dropbox" />
      <div>Dropbox</div>
    </div>
    
  </div>

## Workflow

(1) Extracting CRM data with [Salesforce](https://www.salesforce.com/).

(2) Injection data into CSV.

(3) Using [Amazon SES](https://aws.amazon.com/fr/ses/), notifying a user that data is available in CSV.

(4) Put reporting data into a storage base such as [Dropbox](https://www.dropbox.com/).

## Results

The workflow for receiving activity reporting into your Dropbox. 
A lot of time previously wasted on routine reporting is released for better use!

Image-6/Automated reporting

Automated reporting

Optimizing workflows for bying and sellinng in e-commerce.

Caption-6/Data extracting in e-commerce


## Context

Nowadays, the e-commerce industry is one of the sectors that extract tonnes of data. From mail addresses to phone numbers, or even to preferred colors, we believe every single data should be used. Many market players have seen their benefits growing. In this use case, we will see how e-commerce websites can recover data with OCR technology.

## Challenges

- Searching goods by pictures.

- Digitalizing documents needed to buy or return goods.

- Collecting customer and seller data, storing, and structuring them.

- Validating business partners’ and KYC documents to exclude falsified copies.

## Solution

- Connect ready-to-use OCR API with your e-commerce system.

- Add AI & ML technology to research items by picture.

## Result

- An easier way to collect, aggregate, and validate data.

- Effectively working e-commerce website with built-in OCR technology.

⭐️ You can [meet our experts](https://meetings.hubspot.com/gerard-toko/request-demo) for advice on how to quickly adapt YAP API’s to your e-commerce system.

Image-6/Data extracting in e-commerce

Data extracting in e-commerce

A workflow allowing the automation of the post-recruitment process.

Caption-6/Automation of the recruitment process


## **Context**

In our new digital context, many workflows are being automated. [E-commerce industry](https://medium.com/@youngapp/data-extracting-in-e-commerce-69e17d02cc40), [tourism](https://medium.com/@youngapp/self-check-in-at-hotels-with-ocr-4c64cba4c021), [banking](https://medium.com/@youngapp/extracting-data-from-bank-statements-302ce5c19fae), or even the transport industry, all these sectors are being digitized. In a previous use case, we saw how an API platform can assist in decision making regarding company [human resources](https://medium.com/young-app-uses-cases/assistance-in-decision-making-regarding-company-human-resources-1e4943fc59d9). Today, we are going to see the best way for automating tasks in the human resources processes. We will explain how an API platform can help in post-recruitment processes.

## **Challenge**

* Extract data from different documents such as passport, ID card, IBAN, etc.

* Automatically fill contracts with previously-collected data

* Digitize contract signatures

## **Solution**

* Connect OCR API that will extract details from documents

* Connect ready-to-use APIs that are going to automatically fill contracts form with the data collected from previous documents

* Connect ready-to-use APIs that are going to allow the electronic signatures on different contracts

## **Result**

The whole post-recruitment process is automated thanks to the OCR and API technologies. From optimized collecting personal-document details to signatures, the API platform can effortlessly digitize this workflow.

If you are interested in improving your processes, we will be more than happy to assist you in your API & OCR adventures.

Image-6/Automation of the recruitment process

Automation of the recruitment process

Mise en place d’un partenariat exceptionnel pour répondre à un besoin en termes d’automatisation de système de distribution musicale.

Caption-6/L’ API Management au service du secteur musical


## **Jaiye, une startup prometteuse dans l’industrie musicale**

L’histoire de Jaiye débute en 2016 lorsque deux passionnés de musique africaine, Jean-Yves Kokou et Valy Sylla décident de s’associer. A eux deux, ils se donnent pour mission de structurer l’industrie musicale afro-caribéenne en créant la plateforme de distribution musicale : JAIYE. Présent sur un marché de niche peu concurrentiel, le projet de la startup JAIYE reste très ambitieux. Une plateforme digitale et facile d’utilisation avec une réelle histoire.

Victime de son succès, la startup se retrouve très vite avec une forte demande de la part des artistes sur la plateforme. Il devenait donc indispensable de trouver un système de distribution qui permettrait de rémunérer les artistes, de manière quasi instantanée. C’est pour répondre à cette demande qu’est intervenu Young App, une entreprise spécialisée dans l’automatisation de workflow et dans la gestion d’API.

## **AWS x Young App pour répondre au mieux à la problématique de Jaiye**

La startup dirigée par Mr Toko décide de relever le défi en automatisant le processus de rémunération. Pour ce faire, Young App a tout d’abord commencé par la mise en place de test sur plusieurs plateformes Google Cloud. À la suite de ces différents tests, Young App et Jaiye on fait le pari de miser sur Amazon AWS qui détient près de 60% du marché Cloud auprès des TPE et PME.

C’est ainsi qu’en novembre 2019 le partenariat AWS x Young App a vu le jour. Les objectifs de ce partenariat étaient assez clairs :

* Fidéliser les clients Young App

* Proposer une solution innovante à Jaiye

* Développer les services Young App avec la technologie AWS

* Atteindre un public moins technique capable de comprendre la solution

Pour AWS, ce partenariat était l’occasion d’obtenir d’une part un apporteur d’affaire sur leur solution cloud. Et d’autre part, de pouvoir former de nouveaux acteurs aux outils AWS.

Pour finaliser cette collaboration, AWS a apporté l’infrastructure avec leurs différents outils ( ex: base de données AWS S3, notification AWS SNS ) et Young App, sa plateforme d’API management. Une fois ce couplage effectué, c’est sans aucun problème, que Young App a pu répondre à la problématique de Jaiye.

## **Un système de distribution musicale entièrement automatisé**

Dès lors que le partenariat AWS x Young App fut établie, il était enfin possible d’automatiser le système de rémunération. Tout s’est ensuite très vite mis en place et le workflow a été automatisé en 7 semaines dépassant même les attentes de Jaiye.

En effet, dans un premier temps, les équipes de Young App ont réduit les coûts de Jaiye par 10. La technologie serverless ayant remplacé les serveurs physiques, Jaiye a alors vu ses coûts diminuer, passant de 2000€ de charges par mois à seulement 100€ par mois.

De plus, la technologie serverless a permis d’atteindre 0% de “shut down”, problème récurrent avec les serveurs physiques. Un prestataire extérieur devait alors se déplacer pour vérifier l’infrastructure et cela engendrait inévitablement des coût supplémentaires. Sans risque de “shut down”, Jaiye a ainsi pu économiser près de 3000€ par mois en plus, grâce au serverless.

Dans un second temps, la startup a gagné énormément en temps de travail. Ces derniers n’ont plus à relever les nombres de “stream” de manière manuelle car la technologie AWS SQS automatiquement. Ils ont ainsi gagné en productivité avec plus de 200 000 opérations réalisées en 5 secondes alors qu’auparavant cela prenait au moins une journée entière.

Enfin, Young App a mis en place un système d’information sécurisé de stockage. Ainsi, toute les transactions peuvent être stockées dans des bases de données sécurisées en serverless.

A la fin de ces mois de collaboration, tous les acteurs ayant participé à ce projet n’en sont ressortis gagnants. Des liens se sont créés entre Young App et AWS, faisant de Young App un de leur partenaire officiel. Confiants et satisfaits après leur première collaboration, Jaiye a aujourd’hui décidé de faire à nouveau appel aux services de Young App pour une nouvelle problématique.

Image-6/L’ API Management au service du secteur musical

L’ API Management au service du secteur musical

Building flexible KPI management workflow applicable to any sector.

Caption-6/Improving KPI management


KPIs, or key performance indicators, are essential for sustainability and prosperous growth of any organization. In practice, all sectors of business are using them because KPIs enable analyzing the performance of activity. 

Today, with Young App, applying the best practices of API connection, companies can promptly improve the effectiveness of KPI management

## Challenge

* <p>Automate KPI management.</p>

## Solution

* <p>Install connectors allowing to receive and aggregate data.</p>

## Used connectors

<div class="article__content-image-row">
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*kuWxv9GjFr21YnLLNE0TDw.png" alt="Google Sheets" />
      <div>Google Sheets</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*xUmKjv7QxcKRVmKuupC8kw.png" alt="Amazon Redshift" />
      <div>Amazon Redshift</div>
    </div>
    
    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*_uwjIPfzDBeRXu1PSMo66g.png" alt="Google Data Studio" />
      <div>Google Data Studio</div>
    </div>
    
  </div>

## Workflow

(1) 
Filling data with [Google Sheets](https://www.google.com/intl/en/sheets/about/) and [Amazon Redshift](https://aws.amazon.com/redshift/?nc1=h_ls)

(2) 
Visualizing data with [Google Data Studio](https://marketingplatform.google.com/intl/en_uk/about/data-studio/)

## Results

The workflow allows better monitoring of KPIs, and therefore, better visibility of business activity.

Image-6/Improving KPI management

Improving KPI management

“The most exciting single piece of software in the current JavaScript universe!” — NodeJS technology was immediately recognized on the annual European JSConf.

Caption-6/Top 5 opensource NodeJS API Gateways for API management to implement in 2020


## Why Node.js gateways are ridiculously popular?

**Resilient technology stack**

V8 engine, non-blocking input/output, asynchronous request handling, and event-based model.

**Quick processing and event-based model**

[Node.js is fast, and this is a fact](https://www.altexsoft.com/blog/engineering/the-good-and-the-bad-of-node-js-web-app-development/).

**Scalable for microservices**

Node.js for microservices architecture is a top-hole choice when creating and deploying microservices solutions.

**Rich ecosystem**

More than [836 000 libraries](https://blog.npmjs.org/post/180868064080/this-year-in-javascript-2018-in-review-and-npms) are available in the npm registry, and over 10 000 new ones being published weekly, and [open-source JavaScript tools](https://x-team.com/blog/essential-javascript-tools-2019/) are sparkling “in the sky with diamonds”!

**Impressive corporate contributions**

The [number of organizations using Node.js](https://softwarebrothers.co/blog/companies-that-use-node-js/) in production is constantly growing: Walmart, PayPal, Medium, Trello, Uber, Zendesk, NASA, eBay, LinkedIn, Netflix, GoDaddy, Yahoo, Yandex, Groupon, Mozilla… What giant do you think will be the next?

**Smooth JSON support**

When other backend technologies (PHP, Ruby on Rails, etc.) use JSON format for communication, Node.js sends data without converting between binary models, by using JavaScript.

Here below, you can see all benefits in top-5 opensource NodeJS Gateways for API management. Let’s implement them in 2020! Sounds good? ;)

## 1 | Claudia

**Website:** [https://claudiajs.com](https://claudiajs.com/)

**Video:** [https://vimeo.com/156232471](https://vimeo.com/156232471)

**Summary:** Deploy Node.js projects to AWS Lambda and API Gateway easily

**Details**

Claudia makes it easy to deploy Node.js projects to AWS Lambda and API Gateway. It automates all the error-prone deployment and configuration tasks and sets everything up the way JavaScript developers expect out of the box. This means that you can get started with Lambda and API Gateway easily, and focus on solving important business problems instead of dealing with AWS deployment workflows.
With the help of Claudia builder projects, you can also [use API Gateway as if it were a lightweight javascript web server](https://github.com/claudiajs/claudia-api-builder), or create and deploy [chatbots for various platforms](https://github.com/claudiajs/claudia-bot-builder) easily.
[Why use Claudia and not just deploy manually?](https://github.com/claudiajs/claudia/blob/master/FAQ.md#why-use-claudia-and-not-just-deploy-manually)
[Claudia vs Serverless/Apex/Swagger/Seneca/…?](https://github.com/claudiajs/claudia/blob/master/FAQ.md#how-does-it-compare-to-)
[Take a look at the example projects](https://github.com/claudiajs/example-projects).
Read the [Getting started guide](https://claudiajs.com/tutorials/hello-world-lambda.html) for information on setting up credentials and a walk-through of a simple hello-world example.
Check out the guide for [Customising Deployments](https://github.com/claudiajs/claudia/blob/master/customising_deployments.md) for information on how to configure what gets sent to Lambda and how it gets used.
Check out [Command Line Usage](https://github.com/claudiajs/claudia/blob/master/docs) for details about command-line options.
See the [Contributors’ guide](https://github.com/claudiajs/claudia/blob/master/contributing.md) for information on running and testing code.
See the [Release History](https://github.com/claudiajs/claudia/blob/master/RELEASES.md)
A new book by the core Claudia.js team: [Serverless Applications with Node.js, Using AWS Lambda and Claudia.js](https://www.manning.com/books/serverless-applications-with-nodejs), by Slobodan Stojanovic and Aleksandar Simovic, 2018.
See [Related Articles](https://github.com/claudiajs/claudia/blob/master/FURTHER_READING.md) for more articles, reviews, and tutorials.
Check out the [Frequently Asked Questions](https://github.com/claudiajs/claudia/blob/master/FAQ.md).

## 2 | AWS

### AWS serverless express

**Summary:** Run serverless applications and REST APIs using your existing [Node.js](https://nodejs.org/) application framework, on top of [AWS Lambda](https://aws.amazon.com/lambda/) and [Amazon API Gateway](https://aws.amazon.com/api-gateway/). The sample provided allows you to easily build serverless web applications/services and RESTful APIs using the [Express](https://expressjs.com/) framework.

**Repository:** [https://github.com/awslabs/aws-serverless-express](https://github.com/awslabs/aws-serverless-express)

**Benefits:** pay for what you use, no infrastructure to manage, autoscaling with no configuration needed, [usage plans](https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-api-usage-plans.html), c[aching](https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-caching.html), [authorization](https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-control-access-to-api.html), [staging](https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-deploy-api.html), [SDK generation](https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-generate-sdk.html), [API Monitoring](https://docs.aws.amazon.com/apigateway/latest/developerguide/monitoring-cloudwatch.html), [request validation](https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-method-request-validation.html), [documentation](https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-documenting-api.html).

### AWS API Gateway Client

**Summary:** A module for AWS API gateway client based on auto-generated JavaScript SDK. This module can be used not only for Node.js but for front-end. In addition, it generalizes the original SDK’s endpoint specific methods.

**Homepage:** [https://www.npmjs.com/package/aws-api-gateway-client](https://www.npmjs.com/package/aws-api-gateway-client)

**Repository:** [https://github.com/kndt84/aws-api-gateway-client](https://github.com/kndt84/aws-api-gateway-client)

**Reference:** [https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-generate-sdk.html](https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-generate-sdk.html)

**More details:** For the JavaScript SDK to work your APIs need to support CORS. The Amazon API Gateway developer guide explains how to [setup CORS for an endpoint](https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-cors.html).

## 3 | Yap

**Summary:** Less code, safer API.

**Repository:** [https://github.com/youngapp/yap](https://github.com/youngapp/yap)

**More details:** Yap created by Young App is the lightweight microservices API gateway that shines at the heart of any microservices or serverless architecture, which aims to be a smaller, more expressive, and more robust foundation for API management and automation workflows with low-code approach and security. Without API management, Young App uses Express, Koa or Hapi on Nodejs without security handler, and all other NodeJS frameworks are based on HTTP module, Yap is different, designed only for serverless functions (event-driven). Yap combines the enterprise-grade API management and workflow automation platform and ease of use expected from client cloud-based apps.

**Architecture:** [https://manual.youngapp.co/community-edition/#architecture](https://manual.youngapp.co/community-edition/#architecture)

**Key features:** [https://manual.youngapp.co/community-edition/#key-features-of-yap-project](https://manual.youngapp.co/community-edition/#key-features-of-yap-project)

**Community:** [https://cutt.ly/yr9c0yC](https://cutt.ly/yr9c0yC)

## 4 | Scandium

**Summary:** Easily deploy any Node.js webserver to AWS Lambda.

**Repository:** [https://github.com/LinusU/scandium](https://github.com/LinusU/scandium)

**More details:** Scandium can deploy your Express, Koa or a similar app to Lambda, without any modifications to your code. Combined with AWS API Gateway you can have your current API running serverless in no time. Scandium requires [Node.js](https://nodejs.org/), [Docker](https://docs.docker.com/get-docker/), and a working [AWS config w/ credentials](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html#cli-configure-files-where). By default, Scandium will set up an API Gateway that simply forwards all requests to the Lambda function.

## 5 | Vandium Node

**Summary:** [AWS Lambda](https://aws.amazon.com/lambda/details) framework for building functions using [Node.js](https://nodejs.org/) for [API Gateway](https://aws.amazon.com/api-gateway), IoT applications, and other AWS events.

**Repository:** [https://github.com/vandium-io/vandium-node](https://github.com/vandium-io/vandium-node)

**Features:** simplifies writing Lambda handlers, automatically verifies event types, powerful input validation, works with [serverless](https://serverless.com/), JSON Web Token (JWT) verification and validation, JWK support for retrieving keys at startup, automatic loading of environment variables from SSM Parameter Store, cross-site Request Forgery (XSRF) detection when using JWT, SQL Injection (SQLi) detection, and protection, Lambda Proxy Resource support for AWS API Gateway, handler initialization for allocating resources, post-handler execution to allow deallocation of resources, forces values into correct types, handles uncaught exceptions, promise support, automatically trimmed strings for input event data, low startup overhead, AWS Lambda Node.js 12.x.

## References

* **[The Top 96 API Gateway Open Source Projects](https://awesomeopensource.com/projects/api-gateway)**

* **[The Good and the Bad of Node.js Web App Development](https://www.altexsoft.com/blog/engineering/the-good-and-the-bad-of-node-js-web-app-development/)**

* **[16 companies with apps written using Node.js](https://softwarebrothers.co/blog/companies-that-use-node-js/)**

* **[JavaScript: 2018 in review and npm’s predictions for 2019](https://blog.npmjs.org/post/180868064080/this-year-in-javascript-2018-in-review-and-npms)**

* **[36 essential JavaScript tools in 2019](https://x-team.com/blog/essential-javascript-tools-2019/)**

* **[JavaScript Ecosystem: 38 Tools for Front- and Back-End Development](https://www.altexsoft.com/blog/engineering/javascript-ecosystem-38-tools-for-front-and-back-end-development/)**

Image-6/Top 5 opensource NodeJS API Gateways for API management to implement in 2020

Top 5 opensource NodeJS API Gateways for API management to implement in 2020

Besides simplifying your company development, management, and security for APIs, API gateway tools offer additional extras.

Caption-6/Top 10 API gateways for API management to try in 2020


For instance, API planning and testing. They both are important on the grounds that after designing API, the development team needs to test it to confirm that API works properly.

What’s more, API gateway tools help to ensure that earlier-deployed APIs are synchronized with the new ones. Such an approach could help to minimize development costs. After all, API management tools facilitate publishing and deploying APIs.

<p class="article__blockquote">
  Those, who would like to understand how does API gateway work, may like the <a href="https://www.youtube.com/watch?v=8WuVBbXsHzg" target="_blank">API gateway explained</a> video or <a href="https://martinfowler.com/articles/serverless.html" target="_blank">Martin Fowler’s explanation</a>: “An API gateway is an HTTP server where routes and endpoints are defined in configuration, and each route is associated with a resource to handle that route. In a Serverless architecture such handlers are often FaaS functions.”
</p>

API gateway minimizes latency — the time between the cause and effect of the request is minimized and improves security by creating a safe network.

On top of everything, let’s consider how to select the best API management tools for your company.

### How to select the best API Gateways

A large variety of API management tools exist around. Thus, you need to think twice when choosing the one to use in developing software solutions.

Let’s overview factors to consider while selecting API management tools for your company.

### 1. Simplicity

The first parameter to check in choosing API management tools is easiness. If the selected API management tool is “full of twists and turns”, your team will find managing APIs difficult and frustrating.

Plus, a great API management tool should make it convenient for you to manage developers. Additionally, it should fit harmoniously into the context of your existing infrastructure.

### 2. Scalability and flexibility

A warm welcome to another strategic factor! Keep it in mind when selecting API management tools. Being significant for maturing your company, scalability and flexibility of applied API tools should support all changes in the rushing tempo of your company. Good to examine whether it could advance your company’s transformation or not.

If your API management tools are scalable, your software system will work more-the-less smoothly during peak periods (Black Friday, holidays, other rush hours). If not, your system may “lay down” due to the extra activity.

<p class="article__blockquote">
  “The rapid pace of changes in SaaS feature sets makes it nearly impossible to predict which apps you will keep for the long term, and which ones you’ll want to replace for a better, more innovative option. Rather than guessing, focus on ﬂexibility and process. This will empower your team leaders to experiment and give your organization leverage to adopt the best tools.” — notes Blissfully in the SaaS Trends report.
</p>

### 3. Security

Before taking an API management tool, you need to be sure of its security. Good practices advise verifying if the tool has strong single-sign-on (SSO) capabilities.

Next, it should have policies that make using SSL (Secure Sockets Layer) obligatory. It will protect you versus web threats and deactivate login if a VPN is turned off.

What’s more, the tool should be compliant with GDPR to cultivate confidence and commitment between your customers and prevent overusing and leakage of sensitive information.

### 4. All-inclusiveness

The final factor to consider before voting for an API management tool is its comprehensiveness. An API management tool must cover the API publisher attributes as well as consumer ones.

API publisher attributes involve designing, building, testing, securing, and managing.

And API consumer attributes cover exploring, creating, consuming, and monitoring.

A picture-perfect API management tool should be able to successfully cover the maximum of these components.

Straight away, let’s go through the first-class API management tools for 2020 and how you could use them effectively.

### #1 [Apigee](https://cloud.google.com/apigee/)

Apigee is one of the top-hole API Management tools applicable for any applications, record systems, and IoT.

This software solution allows you to design, secure, analyze, and scale APIs. To say more, Apigee enables you to fully control your APIs and monitor how the system works.

Among of Apigee features:

* Apigee assists in delivering solutions in the format of a proxy, agent, or hybrid.

* For development, Apigee simplifies using data and tools with a purpose to build new cloud-based apps.

* Developers can create and deliver applications by themselves.

* Helping with measuring and tracking. The tool delivers analytics on API traffic helping to set up and monitor such important signs of effectiveness as KPIs.

Apigee offers [four pricing plans — Evaluation, Standard, Enterprise, and Enterprise Plus](https://cloud.google.com/apigee/pricing). The Evaluation plan is cost-free. For others, you need to contact Apigee.

### #2 [MuleSoft](https://www.mulesoft.com/platform/api-management)

MuleSoft is another first-rate API management tool for integrating applications. It also provides great managing and building APIs. Plus, it proposes solutions in creating an application network from the very beginning.
Such solutions help you to manage users and analyze the received traffic. They also include policies in place that level-up API security, preventing your system from cyberattacks.
Some of its basic features cover:

* Unified API platform

* Help in creating a community that you can use for encouraging contributors and cooperating with other developers

MuleSoft proposes a free trial option so that you can explore the tools and see them at work. Among proposed pricing, Gold, Platinum, and Titanium plan. For details about pricing, feel free to contact the MuleSoft team.

### #3: [Axway](https://www.axway.com/en/products/api-management)

Axway is a notable API management tool that ensures cloud data integration. Proposed solutions include API management, B2B integration, content teamwork, and creating apps.
Core features include:

* Trend investigation and predictive API analysis

* Pre-built development policies that simplify developers’ work

It provides a free trial version. You may contact the Axway team for more details about pricing and custom quotes.

### #4: [Kong Inc.](https://konghq.com/)

Kong Inc. supports end-to-end solutions for companies focusing on resolving critical application difficulties. The tools Kong Gateway and Kong Enterprise could help you to control and manage APIs. The last one is also an open-source tool as well.

Some of Kong’s features include:

* Teams management and integrated development environment.

* Collection of plugins extending tools’ functionalities.

* Scalability, what especially important for organizations with a strong workload.

You can download Kong Gateway for free. For the Enterprise edition, you can request a free software demo. You need to contact their team for pricing details.

### #5: [Young App](https://youngapp.co/)

Young App provides the platform for integrating microservices helping to connect business workflows across cloud and on-premise apps providing employees with prompt communication and building advanced collaboration in teams. YAP provides effective mechanisms to sync all data and configure secure workflows enabling an essential base for flexibility and growth. Young App Platform (YAP) supports the broad variety of connectors: notification, monitoring, storage, database, data processing, AI processing, subscription, debugging, mapping, payment, CRM, analytics, signature.

Provides features:

* API management and monitoring

* User-friendly pipeline builder for integration processes

* Low-code development for citizen users

* XML policies for advanced security

* API Gateway on GraphQL

* Adding connectors on request

* Integration with multiple apps

* Optical character recognition

* Serverless API

* 100% TypeScript

* Customizable dashboard

Young App proposes [Community Edition](https://manual.youngapp.co/community-edition/) (free opensource version) and [Cloud Edition](https://manual.youngapp.co/cloud-edition/) (paid customized version). YAP supports a [wide range of connectors](https://manual.youngapp.co/connectors/).

### #6: [SnapLogic](https://www.snaplogic.com/glossary/api-integration-software)

SnapLogic assists in creating, publishing, and using APIs at any time. The great discovery about this tool is that you can avoid coding manually. As the cloud-based API management tool, SnapLogic works as an iPaaS (Integration Platform as a Service).

Some basic features:

* Progressive API analytics for tracking and monitoring

* Compatibility with other API management tools

* Simplifying of API consumers management with the Developer portal

It proposes a 30-day free trial. For more details about pricing, feel free to contact the SnapLogic team.

### #7: [Akana API Platform](https://www.akana.com/)

Akana is one of the most effective API management tools for life cycle management. It provides an end-to-end platform for designing, securing, implementing, monitoring, and publishing APIs.

Implementing it, you can create a partner ecosystem to engage and empower your developers to deliver APIs on time.

Some of its core features are:

* Help to create, discover, and monitor APIs from a single UI

* Highly secured and detects holes in the security of the API code

* Ensures deep API analytics

You can request a free demo of the tool. For more details on pricing, please contact Akana.

### #8: [Oracle API Platform](https://www.oracle.com/cloud/integration/api-platform-cloud/)

You can create APIs smoothly using Oracle’s API Platform. Supporting the agile API development, it has style-guides using which your teams can stick to REST and JSON standards.

Also, it helps you measure the KPIs and control the APIs access at runtime. The pricing plans start at $2.01 per gateway per hour.

### #9: [TIBCO Cloud-Mashery](https://www.tibco.com/products/api-management)

TIBCO Cloud Mashery is one of the best API management tools used for converting to SOAP and RESTful protocols. It provides a full life cycle API management solution for SaaS, B2B, and public APIs.

It offers a 30-day free trial of the software service. Pricing for the Mashery Professional plan starts at $500 per month. To get more details about the Mashery Enterprise plan, you need to reach out to the company.

### #10: [3scale](https://www.3scale.net/)

3scale makes it easy to manage internal and external users of your API. It allows you to share, distribute, control, secure, and monetize your APIs.Image via 3scale

Pricing starts at $750 per month for the Pro plan. As for the Enterprise plan pricing, you need to contact the 3scale team.

## Conclusion

In this post, you’ve learned about 14 of the best API management tools, their key features, and pricing plans.

Have you ever used any of these API management tools for software development in your organization? Or do you know of any other API management tools you think to deserve a spot on this list? Please share your experiences and insights in the comments below.

## References

* [2019 Annual SaaS Trends Report | BLISSFULLY | 2019](https://www.blissfully.com/saas-trends/2019-annual/)

* [Serverless Architectures | Martin Fowler | 2018](https://martinfowler.com/articles/serverless.html)

Image-6/Top 10 API gateways for API management to try in 2020

Top 10 API gateways for API management to try in 2020

Yap is the lightweight microservices API gateway shining at the heart of any microservice or serverless architecture, which aims to be a smaller, more expressive and robust foundation for API management and automation workflows with low-code approach and security.

Caption-6/Get started with Yap Community

## Key features of Yap 🙌

Yap offers powerful, yet lightweight features that allow fine-grained control over your API ecosystem. Yap combines GraphQL, XML policies, and strong functional testing on serverless architecture.

* **Elegant XML Policies 
**The powerful capability of the system that allows the publisher to change API behavior through configuration in elegant XML files.

* **GraphQL as API Gateway** 
GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. Yap uses only GraphQL as API Gateway.

* **YAML Functional testing
** CI-ready tests for REST APIs configured in YAML.

* **Connectors
**The integration platform that was built from the ground to support a single design interface for professional (IT developers) and non-professional (citizen users) integrators.

* **Designed for serverless** 
Yap is designed for serverless event functions on AWS, GCP, or Azure.

## Installation

Install project with Yap-cli, command line Interface package for managing any tasks on<br/> Young App Platform.

**With yarm**

    npx create yap books-project
    cd todo-project
    yarn start

**With npm**

    npx create-yap books-project
    cd todo-project
    npm start

For more information, see details on [Usage guide](https://manual.youngapp.co/community/usage-and-getting-started).

## Create your first application

Inside the current folder, create the directory called books-projects. Inside this directory, generate the initial project structure and install the transitive dependencies:

    books-projects
    ├── README.md
    ├── node_modules
    ├── package.json
    ├── .gitignore
    ├── serverless.yml
    ├── tslint.json
    ├── tsconfig.json
    └── src
        ├── policies.xml
        ├── schema.graphql
        ├── resolvers.ts
        ├── scenarios.yaml
        └── app.ts

### Write your first policy

Policies are powerful capabilities of the system that allows the publisher to change API behavior through configuration. Policies are the collection of statements that are being executed sequentially on the API request or response.

The configuration is divided into inbound, outbound, and on-error. The series of specified policy statements are executed in a request-response order.

    <policies>
      <inbound>
        
      </inbound>
      <outbound>
        
      </outbound>
      <on-error>
        
        
      </on-error>
    </policies>

Create policies.xml file:

    touch src/policies.xml

Add your API Authorization policy

    <policies>
      <inbound>
        <check-header
          name="Authorization"
          failed-check-httpcode="401"
          failed-check-error-message="Not authorized"
          ignore-case="false">

          <value>f6dc69a089844cf6b2019bae6d36fac8</value>

        </check-header>
      </inbound>
    </policies>

### Create typeDefs.schema

GraphQL is the query language for APIs and a runtime for fulfilling those queries with your existing data. Every GraphQL server uses a **schema** to define the structure of data requested by clients.

Add the following to the bottom of schema.graphql:

    # Comments on GraphQL strings (such as this one) start
    # with the hash (#) symbol.

    # This "Book" type defines the queryable fields for
    #  every book in our data source.

    type Book {
      title: String
      author: String
    }

    # The "Query" type is special: it lists all of the
    # available queries that clients can execute,
    # along with the return type for each. In this
    # case, the "books" query returns an array of zero
    # or more Books (defined above).

    type Query {
      books: [Book]
    }

### **Define your data set**

Now that we’ve defined the *structure* of our data, we can define the data itself. Add the following to the bottom of resolvers.ts:

    const books = [
      {
        title: 'Harry Potter and the Chamber of Secrets',
        author: 'J.K. Rowling',
      },
      {
        title: 'Jurassic Park',
        author: 'Michael Crichton',
      },
    ];

    export books;

## Application

Yap application is an object containing the GraphQL schema and policies, which are composed and executed in a stack-like manner upon request.

Add the following to the bottom of src/handler.ts:

The obligatory workflow application:

    import { Yap } from "@youngapp/yap";
    import typeDefs from "./schema.graphql";
    import resolvers from "./resolvers.ts";
    import policies from "./policies.xml";

    // The Yap constructor requires three parameters: your schema
    // definition, policies and your set of resolvers.
    const app = new Yap({ typeDefs, resolvers, policies });

    // A simple typescript node project for AWS Lambda.
    exports.handler = app.handler;

## npm start

Start your application with npm start.

Image-6/Get started with Yap Community

Get started with Yap Community

Why all-present connectors are reaching rock stars’ popularity? While they are signing autographs, we’ll answer your questions. Did you ask us why? The answer is on the surface:

Caption-6/API integration


<p class="article__blockquote">
  Connecting apps gives companies a chance to facilitate and simplify processes by minimizing development resources so far as code is being re-used and no need to reinvent the wheel developing “from scratch”
</p>

To say more, connectors enable integration for users that are not coders but need to integrate apps (for example, project and sales managers), and provide better security along with time management: connectors eliminate intermediaries, you third-party service providers, whose services you will not need further because you are building microservice architecture with a bunch of “talented and responsible” connectors instead.

## **Integration services**
<p class="article__blockquote">
 “Some time ago, integration was a technology issue and the CIO’s problem. Now it’s more and more a business opportunity.” — Joe McKendrick, Forbes
</p>

Businesses see APIs integration as the chance to bring more flexibility, larger efficiency, more value to customers, to be able to do things in a flexible, modular and easy way. Sanjay Brahmawar, CEO of Software AG, and former general manager with IBM believes that companies are integrating API to avoid third-party mediators: “Let’s look at integration and APIs. Why are companies willing to spend money there? It’s actually quite simple. They want to differentiate themselves, they want to offer more services to their customers, and they want to avoid getting disintermediated, which is the most critical problem right now.”

## **Popular tendencies**

### **Moving from relational to NoSQL databases**

Despite legacy relational databases are wonderful for their core functions, they were not modeled with newer applications or aimed for using in the cloud. Yes, such databases still have a significant presence — as per [Couchbase’s report](https://info.couchbase.com/rs/302-GJY-034/images/CIO_Survey_2019_Report_Architect.pdf), 90 % of companies rely on databases, 38 % “heavily,” and only 2 % use no relational databases at all.

![](https://cdn-images-1.medium.com/max/2000/1*7IHhy2WjdZXJF9GSnSyVag.png)

Beyond any doubt that companies, which would like to benefit from the digital transformation opportunities, will need to use newer databases that can better support modern technologies and applications. To illustrate, NoSQL databases are now an established popular market: with feature correspondence between NoSQL and legacy databases, and offerings differentiating themselves in terms of enterprise-level capabilities, including security, data governance, availability, scale, and performance.

As a matter of fact, enterprises began to take away from legacy databases. 79 % of companies are eagerly planning to lower their dependency from relational databases, and 56 % are going to do so in the next 12 months.

Nevertheless, while progress is being made, it is not smooth; 74 % of architects say their organization is moving to newer databases more slowly than they should because they rely heavily on legacy databases for critical applications. This, in turn, is affecting productivity — 60 % say that too much of the IT team’s time spent working on digital transformation projects is wasted dealing with legacy technologies.

![Are companies actively planning to reduce their reliance on relational databases in the next 12 months?](https://cdn-images-1.medium.com/max/2250/1*iCjeb383_BfBDzDc5T4Lsg.png)**Are companies actively planning to reduce their reliance on relational databases in the next 12 months?**

![**Do respondents agree that their companies are adopting or moving to newer databases more slowly than they should because they rely heavily on legacy databases for critical applications?**](https://cdn-images-1.medium.com/max/2250/1*TcZxCx_54nBp7IQBHUlt7A.png)**Do respondents agree that their companies are adopting or moving to newer databases more slowly than they should because they rely heavily on legacy databases for critical applications?**

![**Do respondents agree that too much of their IT teams’ time working on digital transformation projects is wasted on dealing with their legacy technologies?**](https://cdn-images-1.medium.com/max/2250/1*40VaPyo5i-VMaZj0Ja1mwQ.png)**Do respondents agree that too much of their IT teams’ time working on digital transformation projects is wasted on dealing with their legacy technologies?**

Acknowledging these challenges, why are companies anyway using traditional relational databases instead of newer databases such as NoSQL?

39 % of relational database users say it’s because they have built other architecture around it. 30 % have invested in the relevant skills and don’t want to have to re-train or upskill their staff, and 29 % say that restructuring would be too complex for them. Only 15 % say it’s because they don’t trust newer databases with business-critical data or applications.

To modernize database infrastructure, the key for these companies will not be convincing them of modern databases’ capabilities, but rather making it as simple as possible to combine relational and NoSQL databases in enterprise architecture, and to transfer skills from one technology to another.

![**Why do companies still use traditional relational databases instead of newer databases such as NoSQL?**](https://cdn-images-1.medium.com/max/2250/1*6uCf0JptQ6m3HMwJ72Ybmw.png)**Why do companies still use traditional relational databases instead of newer databases such as NoSQL?**

Companies are likely to smoothly retire their older databases focusing on more modern alternatives over time. As well as modernizing their database architecture, this will be necessary in order to reduce the chaotic growth of databases — and with it, technology and management costs.

63 % of architects believe that their organization is using more databases than it should be — and 20 % say it’s hard to cope. A further 28 % would like to consolidate more.

![**Are companies using more databases than they should be?**](https://cdn-images-1.medium.com/max/2250/1*VLeEh0JhwG7a5hC9B1HjkQ.png)**Are companies using more databases than they should be?**

## Deployment: expanding to the cloud

The advancement of databases is not only moving from relational to NoSQL database. There is expanding agility in how databases are deployed, with plenty of companies using a mix of deployment methods to support their infrastructure.

The most frequently supported deployment model for database infrastructure is a private cloud (used by 50 % of respondents). The next most-used is a fully flexible hybrid cloud (used by 45 %), followed by on-premises (39 %) and public cloud (34 %). 31 % of enterprises prefer a Database-as-a-Service deployment model. In this environment, companies that want to get the most out of database technology will want to choose databases that will support diverse deployment models. This will ease to fit any new database into existing architecture, instead of having to accommodate technology that must be deployed in a specific manner.

![**Which deployment models do companies support in their database infrastructure?**](https://cdn-images-1.medium.com/max/2250/1*rfSWJyqUA90WpClaUGlasw.png)**Which deployment models do companies support in their database infrastructure?**

Companies are not rushing impulsively into adopting the cloud — many still have concerns.

The single largest issue is data security, raised by almost half (47 %) of architects. Other concerns are much less critical, including the ability to meet future needs (15 %) and keeping costs under control in the future (13 %).

Of the technology capabilities that architects believe are, or will become, essential to their companies’ use of data within the next 12 months, the most important is an encryption of data on every platform (chosen by 42 % of respondents).

![**Respondents’ biggest concerns when assessing new cloud infrastructure to support digital transformation**](https://cdn-images-1.medium.com/max/2250/1*HopthOTLrcUxBi6vawHcdA.png)**Respondents’ biggest concerns when assessing new cloud infrastructure to support digital transformation**

![**Capabilities that are, or will become, essential to companies’ use of data in the next 12 months**](https://cdn-images-1.medium.com/max/2250/1*uWgp7vT41EyPByLslSjOyQ.png)**Capabilities that are, or will become, essential to companies’ use of data in the next 12 months**

Other crucial priorities included analysis of operational data in real-time (40 %), scalability (39 %), portability of data between cloud and on-premises (37 %), and non-stop performance (34 %).

As databases move to the cloud and need to support IT environments that enlarge from a multi-cloud infrastructure to the very edge of the network, being able to support portability of data, in particular, will be a critical capability for databases.

## Technologies impacting digital transformation

Regardless if using relational or NoSQL databases, on whichever deployment method they choose, architects are still clear that their main goal is to ensure their companies’ digital transformation efforts and to gain maximum from new technologies. Currently, there is no single technology that architects with one voice believe will have the greatest impact on their future digital transformation efforts.

The most popular is Artificial Intelligence (AI) (ranked by 39 % of respondents as the technology that will have the greatest impact), but cloud computing (35 %) and big data analytics (32 %) are close behind.

![**Which technologies do respondents rank as having the most potential to have the most revolutionary impact on their organization’s digital transformation efforts in the future?**](https://cdn-images-1.medium.com/max/2250/1*xlp6FwMAT2M9NzYw07HRHQ.png)**Which technologies do respondents rank as having the most potential to have the most revolutionary impact on their organization’s digital transformation efforts in the future?**

## Microservices drive API adoption

Almost three-quarters of interviewed users in the [State of API Report](https://smartbear.com/resources/ebooks/the-state-of-api-2019-report/) believe that adopting microservice architecture will drive the biggest growth in API adoption in the next two years. This is just one illustration of the intense growth in microservice adoption in recent years. In 2016, only 20% of respondents felt that microservices will drive the most adoption. Internet of Things (49%), Machine Learning (42%), and Mobile are also foreseen to drive adoption in further years.

**Which technology will drive the most API growth in the next two years?**

![**Source: [The State of API report by SmartBear](https://smartbear.com/resources/ebooks/the-state-of-api-2019-report/)**](https://cdn-images-1.medium.com/max/2000/1*ZqWHCqeMy3FGLvgT9cZw8w.png)**Source: [The State of API report by SmartBear](https://smartbear.com/resources/ebooks/the-state-of-api-2019-report/)**

<p class="article__blockquote">
  “APIs are at the heart of today’s software-driven economy because provide a digital bridge between software applications, making development and design easier and more efficient,” – Iddo Gino, Forbes
</p>

Here and now, you keep insights into why API integration is as trendy as efficient. Yes and yes! Companies adore to automate, gain time, and save fortunes by not spending money on intermediary third parties or expensive development “from scratch”.
<p class="article__blockquote">
  “Connectivity is a human right.”– Mark Zuckerberg
</p>

Let’s stay connected, eliminating needless extras to clarify the essence and experience flexibility of development processes!

![](https://cdn-images-1.medium.com/max/2188/1*h6c_OxcEAp4CDE5RkKQgGQ.png)

### References

* [Can architects meet the demands of the digital age? | Couchbase | 2019](https://info.couchbase.com/rs/302-GJY-034/images/CIO_Survey_2019_Report_Architect.pdf)

* [CEOs Are Talking About APIs, And Other Signs The World Is Turned Upside Down | Forbes | 2019](https://www.forbes.com/sites/joemckendrick/2019/07/30/ceos-are-talking-about-apis-and-other-signs-the-world-is-turned-upside-down/#351448075750)

* [Five Ways To Build Out An API Strategy In Today’s Software-Driven Economy | Forbes | 2019](https://www.forbes.com/sites/forbestechcouncil/2019/11/07/five-ways-to-build-out-an-api-strategy-in-todays-software-driven-economy/#5f9409fef392)

* [The State of API 2019 Report | SmartBear | 2019](https://smartbear.com/resources/ebooks/the-state-of-api-2019-report/)

Image-6/API integration

API integration

Every second, modern trends bring the “new rules of technology games.” To win, companies are trying to conform to rushing IT environments. What a strong reason for companies to increasingly invest in digital transformation!

Caption-6/API and modern trends


<p class="article__blockquote">
  The future will be characterized by smart devices delivering increasingly insightful digital services everywhere. We call this the intelligent digital mesh. – David W. Cearley, Distinguished VP Analyst, Gartner
</p>

Interesting to observe that average spend has risen from $24 million in 2017–2018, to $27 million in 2018–2019, and is expected to reach $30 million in the next 12 months (as per [Couchbase’s report](https://info.couchbase.com/rs/302-GJY-034/images/CIO_Survey_2019_Report_Architect.pdf)).

Gartner has listed the [top 10 strategic technology trends for 2019](https://vectorusa.com/wp-content/uploads/2019/03/Gartner-trend-predictions-ebook-19.pdf), among which digital ethics and privacy, autonomous things, and augmented analytics.

## **Digital ethics and privacy**

Many companies store backups of huge volumes of personal data that is both sensitive and vulnerable without the intention of using it. Clients are concerned about how much of their personal data is being collected and how that data is being used.

<p class="article__blockquote">
  In nowadays world of privacy, every company should ask, “Just because we can gather all information about a person, should we?”
</p>

Discussing privacy must be grounded in the broader topic of digital ethics and trust, which moves the conversation from “are we compliant” to “are we doing the right thing.” The switching from the compliance-driven to ethics-driven approach should be on top of intent.

## **Autonomous things: use cases**

At the essential level, autonomous things use artificial intelligence (AI) to automate tasks or functions usually performed by humans. Autonomous things use AI to smoothen interaction between environments, though they vary in capability, coordination, and intelligence levels.

They may be successfully implemented and effectively used in the following cases:

* <p><strong>Google Maps</strong>, which can analyze the traffic speed at any time.</p>

![**Image: Uber heat map**](https://cdn-images-1.medium.com/max/2000/1*mXg4dDE5TTfTVZ0ND1kleA.png)
<div style="margin-top: -30px; margin-bottom: 20px;">Image: Uber heat map</div>

* **Ridesharing apps** like Uber and Lyft, which determine the price of your trip, minimize the wait and optimally match you with other passengers to minimize detours. Uber’s use of machine learning for ETAs for rides, estimated meal delivery times on UberEATS, computing optimal pickup locations, as well as for fraud detection.

* **Using an AI autopilot in commercial flights**. The New York Times revealed, “In a recent survey of airline pilots, those operating Boeing 777s reported that they spent just seven minutes manually piloting their planes in a typical flight.”

* **Fraud prevention**. AI is used to create systems that learn what types of transactions are fraudulent. Factors that may affect the neural network’s final output include the recent frequency of transactions, transaction size, and the kind of retailer involved.

* **Intent detection in social networks** (for example, Wit application identifies and manages users’ intent on Facebook).

* **Machine learning in surgical robotics**. Suturing — the process of sewing up an open wound or incision. This important part of soft-tissue surgery can also be a time-consuming process. Automation could potentially reduce the length of surgical procedures and surgeon fatigue.

* **Targeted advertising **— recommendations for products you’re interested in as “customers who viewed this item also viewed” and “customers who bought this item also bought.” This strategy could be implemented, for example, via personalized recommendations on the home page, bottom of item pages, and through email.

* **Smart personal assistants**. The first iteration presents simple phone assistants like Siri and Google Now (Google Assistant), which could perform internet searches, set reminders, and integrate with your calendar. Amazon has enriched this range with Alexa, an AI-powered personal assistant that performs voice commands to create to-do lists, order items online, set reminders, and answers questions (via internet searches), and Echo (and later, Dot), smart speakers that allow you to integrate Alexa into your living room and use voice commands to ask natural language questions, play music, order some meal, call Uber, and integrate with IoT devices. Microsoft has followed this range with Cortana, the AI assistant that comes preloaded on Windows computers and Microsoft smartphones.

* **Beauty applications**, which use facial recognition technology to let users virtually try cosmetics products from lipstick to mascara.

![](https://cdn-images-1.medium.com/max/2000/1*QHe5ZuBTSQ9VJL_0aPnUrQ.png)

* <p>AI also contributes to creating <b>digital twins</b>, which mirror real-life objects, processes or systems. Companies collect real-time operating data from product-mounted sensors, and then, use these data to create an exact replica of a working product, process, or service. This exact replica called a digital twin is a synthetic model in a virtual space that performs under real-world conditions to help companies find performance issues, schedule predictive maintenance, reduce downtimes, and minimize warranty expenses. Because digital twins can give real-time status of equipment or other physical assets, they are very helpful in manufacturing to reduce maintenance issues and ensure optimal production output.</p>

![Digital twin](https://cdn-images-1.medium.com/max/2448/1*cdSeB4RozeQakft99cPRkA.png)Digital twin

### Investments in AI: **North America, Europe, China**

The new age of AI strategies indicates an increasing interest in the potential benefits and costs of AI (see [CIFAR report](https://www.cifar.ca/docs/default-source/ai-society/buildinganaiworld_eng.pdf)):

* **North America **led by the US dominates the global AI market. Over the last five years, San Francisco’s Bay Area, in particular, has attracted 41% of all global investments in AI.

* **Europe **ranks second in the global AI market attributed to the growing demand for cybersecurity, medical informatics, marketing, fraud detection, and national intelligence. The EU is targeting $24.4b of investment in AI by 2020 to compete with the US and China.

* **China** is investing heavily in AI technologies and start-ups to become a global leader. The country’s 2030 plan envisions building a $150b AI industry.

## **Augmented analytics**

Augmented analytics is using machine learning (ML) and natural language processing (NLP) to strengthen data analytics, data sharing, and business intelligence. The concept of augmented intelligence, a surrounding concept to augmented analytics, was mentioned by the research firm Gartner, in their 2019 edition of the “**Hype Cycle for Emerging Technologies.**”

![**Gartner Hype Cycle for Emerging Technologies**](https://cdn-images-1.medium.com/max/2000/1*OB2BswxDLze0tEF3X7ZR4w.png)Gartner Hype Cycle for Emerging Technologies

## **Data-driven business**

Collecting and analyzing data is the engine of digital transformation. Businesses are boosting their data to processing in order to improve users’ experiences, optimize operations, and quickly create new products and services.

![](https://cdn-images-1.medium.com/max/2000/1*9UZTfLruaaUuVhQh_VOW4w.png)

### **References**

* [Can architects meet the demands of the digital age? | Couchbase | 2019](https://info.couchbase.com/rs/302-GJY-034/images/CIO_Survey_2019_Report_Architect.pdf)

* [Building an AI World | CIFAR | 2018](https://www.cifar.ca/docs/default-source/ai-society/buildinganaiworld_eng.pdf)

* [State of API 2019 report by SmartBear](https://smartbear.com/resources/ebooks/the-state-of-api-2019-report/)

* [Top 10 Strategic Technology Trends for 2019 | Gartner | 2019](https://vectorusa.com/wp-content/uploads/2019/03/Gartner-trend-predictions-ebook-19.pdf)

* [Understanding Gartner’s Hype Cycles | Gartner | 2018](https://www.gartner.com/en/documents/3887767/understanding-gartner-s-hype-cycles)

Image-6/API and modern trends

API and modern trends

After API proxies are designed and built, they need to be tested and deployed into production. But these API proxies are not isolated. They’re closely networked with the target APIs/backend applications they front. Therefore, one needs to coordinate the API lifecycle and the software development lifecycle (SDLC) of these applications.

Caption-6/API testing and deployment


<p class="article__blockquote">
  “Before software can be reusable it first has to be usable.” — Ralph Johnson
</p>

One of the fundamental phases of the API lifecycle is testing. Companies have implemented test-driven development (TDD) and behavior-driven development (BDD) approaches into application testing; as well as they use TDD and BDD to test their APIs. Companies can also leverage their application testing framework and tools to automate API testing and reduce the maintenance costs of their API catalog.

According to The [State of API 2019 report by SmartBear](https://smartbear.com/resources/ebooks/the-state-of-api-2019-report/), concentrating on testing as on a crucial step in the API lifecycle has fueled comprehensive tool adoption, with 52% of users leveraging functional testing tools like SoapUI Pro in their API development, and 46% leveraging load testing tools to ensure API performance. To highlight the importance of API testing, let’s pay attention to the fact that organizations without necessary testing face increasing support inquiries or lose users because of quality issues.

![](https://cdn-images-1.medium.com/max/2000/1*30e7f7xB5sBBuPsxociyGA.png)

**Align the API lifecycle with the SDLC**

Every company has its own SDLC with various stages (such as development-testing-production). The API lifecycle should be aligned with the SDLC process.

Companies use TDD or BDD approaches to select the right tests for validating built API. In the dev environment, API proxies are created from open API specifications; otherwise, template patterns are used to generate proxies with Yeoman generators or common proxy templates. The API proxies are then attached the out-of-the-box policies like XML/JSON threat protection or OAuth2. Most organizations store the API proxies in the same repository as their application code (traditionally, GitHub).

Companies proceed with behavioral testing of their APIs in this stage, using mock targets to provide sufficient testing coverage. Static code analysis can be run on custom Java or JavaScript policies with the tools like JSLint and CheckStyle, along with unit testing and code coverage. Typically, organizations use tools like Junit and Mocha for unit testing and Istanbul and Cobertura for code coverage.

**Deploy APIs depending on workload**

The destination backends of API proxies can be microservices, legacy SOAP services, cloud workloads, or services in a PaaS. Several attributes of the target application/service determine where and how API proxies should be deployed. They include:

* Type of service microservices, serverless/monolith app

* Existing interface RESTful API or legacy API, for example, SOAP API

* Application environment: on-premises, in a public cloud, or in a PaaS

* Select the case “internal consumption” or “external consumption” (partners, for example)

A company can either deploy production proxies into a centralized runtime environment or deploy proxies in a distributed mode.

**Centralized deployment**

In this method, the API is deployed to a core set of gateways that are either hosted in the public cloud or in an organization’s private data centers, relying on where the API management solution is deployed. Typically, for external use cases or monolith apps running in the public cloud, this is the favorite approach to minimize operational overhead. For applications with legacy interfaces that require complex transformations and processing, centralized API deployment may be the only option.

**Distributed deployment**

For internal use cases, microservices, or serverless apps, it’s best to make the API closer to the app environment in order to minimize latency. In these cases, the API is deployed to a lightweight API gateway that is collocated with the app or microservices, while the rest of API management services like analytics and developer services are located centrally.

**Automate your testing and deployment lifecycle**

In many companies, for compliance reasons and to minimize manual errors, the deployment lifecycle is automated. Most companies use continuous integration (CI) methodology and tools to automate the software development lifecycle. The API testing and deployment lifecycle can be automated using the same tools. Using the management APIs of your API platform, organizations can programmatically migrate API proxies from one environment to another.

Automating API testing and deployment speeds up detecting and fixing proxy code and integration errors, providing more frequent and successful API proxy releases.

A standard approach involves writing scripts that programmatically deploy proxies into an environment, as the stage of a massive SDLC automated process that also deploys or migrates the application code. Companies might use tools like Apache Grunt or Maven to automate their SDLC. By using such tools as Postman, it’s easier to organize the API testing and deployment lifecycle and fit into an organization’s SDLC environment.

![](https://cdn-images-1.medium.com/max/2000/1*9_JSWzf5TO2ohYmmBqkMAQ.png)

**References**

* [State of API 2019 report by SmartBear](https://smartbear.com/resources/ebooks/the-state-of-api-2019-report/)

Image-6/API testing and deployment

API testing and deployment

Building the workflow to assist in decision-making regarding company human resources.

Caption-6/Assistance in decision-making for company human resources


The recent study proved that for 30% of recruiters the hiring process takes 2-5 weeks. However, this important task can be indeed time-consuming for a company.

But how to optimize time during the hiring process? 
The answer is simple: with the help of an automated platform like the one provided by the Young App.

## Challenge

* Find a way to extract important information from resumes.

* Automate monitoring of job-applications.

## Solution

* Integrate connectors extracting data from resumes.

* Implement the process of machine learning in order to validate or not validate job applications, and set up email accordingly so the messages to be sent automatically after rejecting or approving candidates.

## Used connectors

<div class="article__content-image-row">

    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*b1rbEPLffC-zVIV1iqrNvw.png" alt="OCR.Space" />
      <div>OCR.Space</div>
    </div>

    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*PsWLixZlcsi7W5FnhENdJQ.png" alt="LUIS" />
      <div>LUIS</div>
    </div>

    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*revnCHFtQ7IXfMSQgXK6oQ.png" alt="Excel" />
      <div>Excel</div>
    </div>

    <div class="article__content-image-col">
      <img src="https://cdn-images-1.medium.com/max/2000/1*YNlz-ejuxTwuWyorIGKF1A.png" alt="Amazon SES" />
      <div>Amazon SES</div>
    </div>

  </div>

## Workflow

(1) Receiving the job application and sending CV to [OCR.Space](https://ocr.space/).

(2) Reading and extracting data by OCR.Space.

(3) Categorization by [LUIS](https://www.luis.ai/home).

(4) Sending data to Excel file.

(5) Emailing confirmation or refusal by [Amazon SES](https://aws.amazon.com/ses/).

## Results

The decision-support workflow allows HR managers to release their time for solving the tasks with higher priority.

Image-6/Assistance in decision-making for company human resources

Assistance in decision-making for company human resources

L’analyse financière d’une entreprise consiste à effectuer des retraitements sur les documents comptables pour mettre en exergue la situation financière de l'entreprise. Elle s’appuie sur les documents produits par la comptabilité, notamment la liasse fiscale, qui est obligatoire selon les règles imposées par la loi.

Une solution API OCR au service de votre clôture fiscale - Liasses fiscales 🇫🇷

Un workflow OCR vous permettant de gagner du temps sur le processus comptable en
automatisant l'extraction des données des factures d'achat (factures).

0 JD4-2hWCZOZLpvR4


## Le Contexte

La comptabilité et la banque sont deux secteurs qui nécessitent de multiples tâches chronopages. Ces missions répétées peuvent également impacter la productivité de nombreux collaborateurs. Néanmoins, aujourd'hui, nous accompagnons la montée en puissance des outils qui nous permettent d'automatiser tous ces processus. En effet, les technologies d'automatisation telles que la RPA devraient avoir un impact économique potentiel de [6.7 billions de dollars d'ici 2025](https://www.accountingtoday.com/opinion/the-challenge-for-cpa-firms-applying-rpa-in-the-real-world). De plus, des outils comme l'OCR peuvent également être une alternative à la RPA et vous aider à automatiser vos processus comptables ou bancaires. C'est ce que nous allons analyser dans ce cas d'utilisation.

Avant de commencer, clarifions deux mots qui seront beaucoup utilisés dans cet article: facture d'achat et facture. La facture d'achat est le document que nous émettons, et la facture est le document émis par une autre société pour nous, nous émettons donc des factures d'achats et recevons des factures d'achat.

## Objectif

* Extraire les informations des factures d'achats (facture) à l'aide de la technologie OCR.

* Ajout de la possibilité de rechercher, modifier et classer les factures d'achats (factures).

## Solution

* Connectez l'API OCR au logiciel de l'entreprise

* Logiciel de formation à l'aide d'algorithmes ML

* Reconnaître, collecter et classer les informations via les API

* Activer la conversion des données et le stockage dans des bases de données

## Résultat

A la fin de ce flux de travail automatisé, nous pouvons observer que les données sont extraites en quelques secondes par autoscanning et classification des documents. Des contrôles de conformité et des données structurantes sont fournis afin que les factures puissent être rapidement examinées et analysées.

Enfin, vous n'aurez pas à perdre des heures à saisir des factures comptables (factures) dans le système grâce à la technologie OCR.

Si vous décidez d'automatiser votre comptabilité, chez Young App, nous serons heureux d'aider votre entreprise avec tous les projets d'API et d'OCR que vous pourriez avoir.


Automatisation du processus comptabilité et facture

Dans notre article précédent, nous avons mis en lumière les outils technologiques OCR. Nous 
avons vu ce que c'est, comment cela fonctionne et certains acteurs du marché. Le marché, qui 
d'ailleurs, atteindra une croissance réelle d'ici la fin de 2025. Au vu de ces informations, vous 
vous demandez probablement comment tirer parti de la technologie OCR. Cet article vous 
aidera à éclairer votre petite ampoule. En effet, nous vous exposerons 3 façons d'utiliser les API 
OCR pour améliorer votre activité.

0 pZHqxa8uN4FiTiIa

## **OCR pour les industries bancaires et financières**

Aujourd'hui, le secteur bancaire et financier sont deux secteurs utilisant le plus de données. Que ce soit pour créer un compte bancaire, faire un prêt ou simplement faire de la comptabilité, les entreprises doivent collecter et agréger un océan de données. Pour aider les professionnels de ce secteur, des entreprises comme Young App proposent des API OCR pour les relevés bancaires.

**1- Comptabilité**

Si vous êtes dans le service comptable de votre entreprise, l'utilisation de la technologie OCR vous permettra **d'automatiser des tâches chronophages**.Pour prendre en charge les opérations bancaires, financières et comptables, **la technologie OCR permet d'extraire automatiquement les données** des factures d'achat (facture) devis, relevés bancaires, reçus, etc. Pour fonctionner, la seule mission du gestionnaire sera de définir les données à extraire et de télécharger le document sur le système. Ensuite, **à l'aide de l'apprentissage automatique** (ML) et de **l'intelligence artificielle (IA), le logiciel OCR collectera les données en les reconnaissant, en les extrayant, en les validant, en les triant et en les structurant.**

![](https://cdn-images-1.medium.com/max/3840/1*zC4MZtgCe_GaK5I2YduRcQ.png)

**2- Relevé bancaire**

Notre deuxième exemple ici sera pour le service bancaire. En effet, l'une des tâches les plus répétées est le transfert d'argent. Avec la technologie OCR, les employés de la banque n'auront pas à utiliser des machines de détection de faux billets, car le logiciel OCR sera formé pour comprendre si un billet de banque est réel ou non.

## **OCR pour les industries du tourisme et des transports**

Dans cette partie, nous analyserons l'intervention de la technologie OCR dans trois cas différents: les billets de voyage, le comptage des passagers et des marchandises, la lecture du code-barres des conteneurs.

**1- Billet de voyage**

Avec l'essor de la technologie numérique, l'industrie du tourisme a également connu des changements. L'une des transformations les plus pertinentes, c'est naturellement notre billet de voyage. De nos jours, on par le même de "billet électroniques", pour la simple raison que nous
n'avons plus besoin de billets papier. Un simple code QR sur le téléphone mobile peut faire le travail.

Si vous vous demandez toujours comment c'est possible, la réponse reste dans ces 3 lettres: OCR. **Cette etchnologie extraira, reconnaîtra et validera les données.** Et le bonus ici, cela permet de réduire le gaspillage de papier.

**2- Comptage des passagers et des marchandises**

Si vous travaillez dans l'insdustrie du tourisme et plus précisément avec des groupes, ces quelques lignes pourraient vous intérésser. Pour offrir une meilleure expérience de voyage aux groupes touristiques, l'application de l'OCR avec l'IA peut être vraiment utile. Pourtant, **avec ML et AI, le logiciel peut déterminer si tous les passagers sont à bord ou non.** De cette façon, vous n'aurez plus à perdre 20 minutes juste pour voir si tout le monde est vraiment à sa place.

Si vous n'êtes pas un grand fan de la biométrie, la technologie OCR peut également vous aider mais cette fois avec un bracelet. Une fois que le sytème analysera les bracelets des membres de votre groupe, vous verrez qui est manquant.

**3- Scanner le code barre**

Puisque nous parlons de numérisation de bracelet, examinons de plus près cette fonctionnalité. Si la technologie OCR est connue pour quelque chose, c'est sa capacité de numérisation. Prenons l'exemple des billets de voyage avant l'embarquement. Plus tôt, nous disions que l'OCR peut être un facteur majeur dans la création de billets électroniques. Ici, nous verrons que cela 
peut également être d'une grande aide dans le processus d'intégration.

Grâce à sa fonction de numérisation, **un logiciel OCR peut également scanner vos billets d'avion par exemple, et déterminer si vous êtes un passager du vol.**

Un autre cas pour montrer l'application de la technologie OCR. Dans le secteur du transport, les professionnels doivent gérer une énorme quantité de conteneurs ou de colis. **L'utilisation d'un OCR pour la reconnaissance de documents permettra à l'entreprise de scanner le code-barre d'un conteneur et de les classer.**

## **OCR pour assurer la sécurité en prévenant la fraude et la lutte contre le blanchiment d'argent (AML)**

Enfin, notre dernier cas d'utilisation sera l'OCR pour la sécurité comme vous pouvez le lire dans le titre. Dans ce scénario, l'OCR vous permet de numériser des documents KYC et également de comparer les informations reçues avec les détails stockés par les banqies, le gouvernement, etc. Le logiciel utilisera également la base de données pour être sûr que ces personnes sont
réelles et que leurs documents sont valides et non expiré.

Afin de vérifier si une carte d'identité/passeport, une assurance, un relevé bancaire, des documents de licence ou tout autre document est faux ou non, l'OCR sera formé pour examiner chaque détail. Il analysera les petits détails difficiles à saisir avec l'oeil humain - les nuances de couleurs, la police, la position des caractères, l'alignement des coins, tantde petits aspects peuvent montrer si le document est original et valide.

Comme vous pouvez le constater, la technologie OCR peut devenir un véritable assistant dans votre transformation digitale ou tout simplement pour votre entreprise. De la vision textuelle à la validation des données, en passant par la reconnaissance faciale ou documentaire, ce logiciel sera un véritable moteur de performance pour votre entreprise dans les prochaines années. Chez Young App, nous croyons au potentiel de l'OCR, et c'est pourquoi notre mission est d'aider les entreprises dans leur transformation numérique.

3 façons d'utiliser les API OCR pour améliorer votre entreprise

De nos jours, la numérisation et l'automatisation des opérations financières deviennent cruciales pour toute entreprise.

1 lPZL8Ouqudw64sTcMJKkfA


Nous vous fournissons des API OCR créées pour automatiser l'extraction des données des documents d'identité (carte d'identité, passeport, carte d'assurance, etc.) afin que vous puissiez accélérer le commerce électronique, l'entreposage, les achats en ligne ou toute autre activité afin de renforcer l'efficacité commerciale de vos clients et partenaires.

Plus important encore, une telle approche offre une précision avancée car les données sont extraites automatiquement, à l'eclusion de l'erreur humaine.

Par conséquent, au lieu de retaper et de copier-coller les données de routine, vous pouvez utiliser le temps libéré pour les choses qui comptent le plus.

## Objectif

Automatisez le processus d'extraction des données à partir des documents d'identité.

## Solution

Implémentez le connecteur OCR Young App pour extraire, reconnaître et classer les données:

* Prénom / nom de famille

* Date d'émission

* Date d'expiration

* Lieu de délivrance

* Numéro d'identification

## Résultat

* Le flux de travail démontre en action l'IA, l'OCR et des bases de données hautes performances pour une meilleure gestion des identités.

* Pour gérer votre documentation, pas besoin de gérer manuellement les données.

* Le flux de travail reconnaîtra, extraira, classifiera et stockera les données sur vos serveurs (nous ne stockons pas vos données).


Extraction de données à partir de documents d'identité


Nous vous fournissons des API OCR créées pour automatiser l'extraction des données de n'importe quelle surface d'emballage afin que vous puissiez accélérer la livraison, l'entreposage, les achats en ligne ou toute autre activité afin de renforcer l'efficacité commerciale avec vos clients et partenaires.

Plus important encore, une telle approche offre une précision avancée car les données sont extraites automatiquement, à l'exclusion de l'erreur humaine.

Par conséquent, au lieu de retaper et de copier-coller les données de routine, vous pouvez utiliser le temps libéré pour les choses qui comptent le plus.

## Objectif

* <p>Automatisez le processus d'extraction des données à partir des surfaces de package.</p>

## Solution

* <p>Implémentez le connecteur Young App pour extraire, reconnaître et classer les données.</p>

## Résultat

* Le flux de travail démontre en action l'IA, l'OCR et des bases de données haute performance pour une meilleure gestion logistique.

* Pour gérer votre documentation, pas besoin de gérer manuellement les données.

* Le flux de travail reconnaîtra, extraira, classifiera et stockera les données sur vos serveurs (nous ne stockons pas vos données).

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Extraction de données à partir de la description sur les emballages d'expédition, les boîtes et les conteneurs

Le workflow OCR permettant d'optimiser le remplissage des demands de prêt en extrayant automatiquement les données qui se traduira par une réduction des erreurs de saisie et une approbation des prêts en quelques secondes.

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## Le Contexte

Selon la [Banque de France](https://www.banque-france.fr/en/statistics/loans/loans/loans-size-firms), "à fin mai 2020, **l'encours de crédit tiré atteint 1140,3 milliards d'euros**, en hausse de +10,8% d'une année sur l'autre, après une hausse de +8,2% entre avril 2019 et avril 2020." Cette déclaration nous montre clairement que **"le secteur des prêts" est toujours en croissance.** Et ce n'est pas une surprise quand on sait qu'un prêt peut être fait pour de nombreuses raisons: immobilier, voiture, études, etc. Néanmoins, cette transaction peut être vraiment longue et difficile. Dans ce cas d'utilisation, nous verrons comment la technologie OCR peut améliorer ce processus.

## Objectif

* Extraire les données scannées des documents personnels (carte d'identité, passeport), bancaires (relevé bancaire), comptables (facture d'achat/facture, reçu), des documents juridiques (KBIS) et des documents douaniers (contrat, rapport, etc.)

* Accélérez le filtrage et le tri des documents de candidature

* Rationalisez les audits et les rapports

* Simplifiez la conformité

* Structure des informations collectées pour examiner et analyser les cas problématiques

## Solution

* Connectez l'API OCR au logiciel de l'entreprise

* Logiciel de formation à l'aide d'algorithmes ML

* Reconnaître, collecter et classer les informations via les API

* Activer la conversion des données et le stockage dans des bases de données

## Résultat

A la fin de ce cas d'utilisation, nous pouvons observer que les données sont extraites en quelques secondes grâce à l'auto-remplissage avec une numérisation et une classification facilitées des documents. Des contrôles de conformité et des données structurantes sont fournis afin que les cas problématiques puissent maintenant être rapidement examinés et analysés. Les flux de travail et la recherche de données sont optimisés pour garantir une meilleure expérience utilisateur. Enfin les demandes de prêt peuvent être remplies et traitées en un clin d'oeil.

Si vous êtes intéréssé par le traitement automatisé des demandes de prêt, chez Young App, nous aidons les entreprises avec des projets OCR.

Minimizing time-consuming tasks using OCR based on ML and AI

Challenge

Solution

Used connectors

Workflow

Results

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