Computer Vision projects for all experience levels Beginner level Computer Vision projects . Azure AI Vision is a unified service that offers innovative computer vision capabilities. Here you’ll learn how to successfully and confidently apply computer vision to your work, research, and projects. object_detection import non_max_suppression import numpy as np import pytesseract import argparse import cv2. In this blog post, you learned how to use Microsoft Cognitive Services’ free Computer. That can put a real strain on your eyes. Vision Studio. The OCR skill maps to the following functionality: For the languages listed under Azure AI Vision language support, the Read API is used. OCR Language Data files contain pretrained language data from the OCR Engine, tesseract-ocr, to use with the ocr function. 0. Large models have recently played a dominant role in natural language processing and multimodal vision-language learning. We detect blurry frames and lighting conditions and utilize usable frames for our character recognition pipeline. This app uses the Computer Vision API’s OCR functionality to extract the total from an invoice. Added to estimate. Like Aadhaar CardDetect and translate image text with Cloud Storage, Vision, Translation, Cloud Functions, and Pub/Sub; Translating and speaking text from a photo; Codelab: Use the Vision API with C# (label, text/OCR, landmark, and face detection) Codelab: Use the Vision API with Python (label, text/OCR, landmark, and face detection) Sample applicationsComputer Vision Onramp | Self-Paced Online Courses - MATLAB & Simulink. Power Automate enables users to read, extract, and manage data within files through optical character recognition (OCR). It also has other features like estimating dominant and accent colors, categorizing. OpenCV-Python is the Python API for OpenCV. Inside PyImageSearch University you'll find: ✓ 81 courses on essential computer vision, deep learning, and OpenCV topics ✓ 81 Certificates of Completion ✓ 109+ hours of on. So OCR is Optical Character Recognition which is used to convert the image, printed text etc into machine-encoded text. Apply computer vision algorithms to perform a variety of tasks on input images and video. OpenCV’s EAST text detector is a deep learning model, based on a novel architecture and training pattern. Computer Vision Read (OCR) API previews support for Simplified Chinese and Japanese and extends to on-premise with new docker containers. The version of the OCR model leverage to extract the text information from the. It uses a combination of text detection model and a text recognition model as an OCR pipeline to. The Computer Vision activities contain refactored fundamental UI Automation activities such as Click, Type Into, or Get Text. Advances in computer vision and deep learning algorithms contribute to the increased accuracy of this technology. See moreWhat is Computer Vision v4. Join me in computer vision mastery. View on calculator. Using AI technologies such as computer vision, Optical Character Recognition (OCR), Natural Language Processing (NLP), and machine/deep learning, the extracted data can. The following Microsoft services offer simple solutions to address common computer vision tasks: Vision Services are a set of pre-trained REST APIs which can be called for image tagging, face recognition, OCR, video analytics, and more. You configure the Azure AI Vision Read OCR container's runtime environment by using the docker run command arguments. Specifically, we applied our template matching OCR approach to recognize the type of a credit card along with the 16 credit card digits. OpenCV (Open source computer vision) is a library of programming functions mainly aimed at real-time computer vision. ABOUT. 0 which combines existing and new visual features such as read optical character recognition (OCR), captioning, image classification and tagging, object detection, people detection, and smart cropping into one API. Originally written in C/C++, it also provides bindings for Python. 1. Inside PyImageSearch University you'll find: ✓ 81 courses on essential computer vision, deep learning, and OpenCV topics ✓ 81 Certificates of Completion ✓ 109+. Understand and implement convolutional neural network (CNN) related computer vision approaches. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. Vertex AI Vision is a fully managed end to end application development environment that lets you easily build, deploy and manage computer vision applications for your unique business needs. UiPath. This can provide a better OCR read and it is recommended with small images. Join me in computer vision mastery. The Computer Vision service provides pre-built, advanced algorithms that process and analyze images and extract text from photos and documents (Optical Character Recognition, OCR). Once this is done, the connectors will be available to integrate the Computer Vision API in Logic Apps. Apply computer vision algorithms to perform a variety of tasks on input images and video. Check out the hottest computer vision applications in the most prominent industries including agriculture, healthcare, transportation, manufacturing, and retail. 2 Create computer vision service by selecting subscription, creating a resource group (just a container to bind the resources), location and. Designer panel. 0 client library. Number Plate Recognition System is a car license plate identification system made using OpenCV in python. Choose between free and standard pricing categories to get started. OCR, or optical character recognition, is one of the earliest addressed computer vision tasks, since in some aspects it does not require deep learning. ( Figure 1, left ). To get started building Azure AI Vision into your app, follow a quickstart. Muscle fatigue. Depending on what you’re trying to build with computer vision and OCR, you may want to spend a few weeks to a few months just familiarizing yourself with NLP — that knowledge will better help. Here are some broad categories of vision APIs: Computer Vision provides advanced algorithms that process images and return information based on the visual features you're interested in. What is computer vision? Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information. And somebody put up a good list of examples for using all the Azure OCR functions with local images. · Dedicated In-Course Support is provided within 24 hours for any issues faced. “Clarifai provides an end-to-end platform with the easiest to use UI and API in the market. We have already created a class named AzureOcrEngine. Essentially, a still from the camera stream would be taken when the user pressed the 'capture' button and then Tesseract would perform the OCR on it. ComputerVision by selecting the check mark of include prerelease as shown in the below image:. We’ll use traditional computer vision techniques to extract information from the scanned tables. Implementing our OpenCV OCR algorithm. It is for this purpose that a computer vision service has been developed : Optical Character Recognition (OCR), commonly known as OCR. 0 (public preview) Image Analysis 4. Therefore, a strong OCR or Visual NLP library must include a set of image enhancement filters that implements image processing and computer vision algorithms that correct or handle such issues. You can use Computer Vision in your application to: Analyze images for. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. Microsoft OCR also known as Computer Vision is one of the best OCR software around the world. That said, OCR is still an area of computer vision that is far from solved. 7 %. Run the dockerfile. The best tools, algorithms, and techniques for OCR. You only need about 3-5 images per class. For more information on text recognition, see the OCR overview. Follow these tutorials and you’ll have enough knowledge to start applying Deep Learning to your own projects. Computer Vision API (v1. Requirements. No Pay: In a "Guest mode" you do not pay and may process 5 files per hour. OCR takes the text you see in images – be it from a book, a receipt, or an old letter – and turns it into something your computer can read, edit, and search. The following figure illustrates the high-level. 1. Machine vision can be used to decode linear, stacked, and 2D symbologies. Our multi-column OCR algorithm is a multi-step process. As it still has areas to be improved, research in OCR has continued. Computer Vision can perform Optical Character Recognition (OCR) over an image that contains text, and it can scan an image to detect faces of celebrities. Azure Cognitive Services Computer Vision SDK for Python. 0 (public preview) Image Analysis 4. Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars. It also has other features like estimating dominant and accent colors, categorizing. github. We are now ready to perform text recognition with OpenCV! Open up the text_recognition. ) or from. Vertex AI Vision includes Streams to ingest real-time video data, Applications that lets you create an application by combining various components and. The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. Activities - Mouse Scroll. cs to process images. We also will install the Pillow library, which is the Python Image Library. UseReadAPI - If selected, the activity uses the new Azure Computer Vision API 2. Elevate your computer vision projects. We will also install OpenCV, which is the Open Source Computer Vision library in Python. 5 MIN READ. We’ve coded an algorithm using Computer Vision to find the position of information in the tables using thresholding, dilation, and contour detection techniques. docker build -t scene-text-recognition . All Microsoft cognitive actions require a subscription key that validates your subscription for. Try using the read_in_stream () function, something like. 0. Computer Vision is an. Basic is the classical algorithm, which has average speed and resource cost. NET OCR library supports external engines (Azure Computer Vision) to process the OCR on images and PDF documents. Introduction. There are two flavors of OCR in Microsoft Cognitive Services. This OCR engine is capable of extracting the text even if the image is non-classified image like contains handwritten text, graphs, images etc. For instance, in the past, LandingLens would detect a lot code in packaging. The table below shows an example comparing the Computer Vision API and Human OCR for the page shown in Figure 5. The OCR for the handwritten texts is also available, but yet. However, our engineers are working to bring this functionality to Computer Vision. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. This is referred to as visual question answering (VQA), a computer vision field of study that has been researched in detail for years. productivity screenshot share ocr imgur csharp image-annotation dropbox color-picker. OCR is one of the most useful applications of computer vision. 0 Edition and this is a question regarding the quality of output I’m getting from the Microsoft Azure Computer Vision OCR activity in UiPath. How does AI Computer Vision work? UiPath robots' human-like vision is powered by a neural network with a combination of custom Screen OCR, text matching, and a multi-anchoring system. Following standard approaches, we used word-level accuracy, meaning that the entire proper word should be found. Edge & Contour Detection . Computer Vision の機能では、OCR (Read API) と 空間認識 (Spatial Analysis) がコンテナーとして提供されています。 Microsoft Docs > Azure Cognitive Services コンテナー. ; Target. You need to enable JavaScript to run this app. Over the years, researchers have. 3. Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. What it is and why it matters. 0, which is now in public preview, has new features like synchronous. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. It isn’t one specific problem. Checkbox Detection. Optical Character Recognition or Optical Character Reader (or OCR) describes the process of converting printed or handwritten text into a digital format with. This integrated light reduces shadowing and provides uniform illumination on matte objects. It remains less explored about their efficacy in text-related visual tasks. Editors Pick. The only issue is that the OCR has detected the leftmost numeral as a '6' instead of a '0'. We’ll first see the usefulness of OCR. An OCR skill uses the machine learning models provided by Azure AI Vision API v3. Description: Georgia Tech has also put together an effective program for beginners to learn about Computer Vision. Vision. This is the actual piece of software that recognizes the text. After creating computer vision. That's where Optical Character Recognition, or OCR, steps in. This involves cleaning up the image and making it suitable for further processing. The Vision API allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content. Get Black Friday and Cyber Monday deals 🚀 . There are two tiers of keys for the Custom Vision service. Added to estimate. This article is the reference documentation for the OCR skill. Computer Vision API (v3. OCR Passports with OpenCV and Tesseract. Computer Vision Vietnam (CVS) Software Development Quận Cầu Giấy, Hanoi 517 followers Vietnamese OCR, eKYC, Face Recognition, intelligent Office solutionsLandingLen’s tools with OCR systems will give users the freedom to build a complete computer vision system that is customized and uses text plus images to enhance accuracy and value. In this blog post, you learned how to use Microsoft Cognitive Services’ free Computer. Then we accept an input image containing the document we want to OCR ( Step #2) and present it to our OCR pipeline ( Figure 5 ): Figure 5: Presenting an image (such as a document scan. Deep Learning; Dlib Library; Embedded/IoT and Computer Vision. The Azure Computer Vision API OCR service allows you to enrich the information that users save to SharePoint by extracting text from images. The Computer Vision Read API is Azure's latest OCR technology that handles large images and multi-page documents as inputs and extracts printed text in Dutch, English, French, German, Italian, Portuguese, and Spanish. Computer Vision API (v3. The primary goal of these algorithms is to extract relevant information from unstructured data sources like scanned invoices, receipts, bills, etc. g. Advertisement. The Process of OCR. 1. They usually rely on deep-learning-based Optical Character Recognition (OCR) [3, 4] for the text reading task and focus on modeling the understanding part. 1. . Alternatively, Google Cloud Vision API OCRs the text word-by-word (the default setting in the Google Cloud Vision API). The. sudo docker run -it --rm -v ~/workdir:/workdir/ --runtime nvidia --network host scene-text-recognition. A brief background of OCR. Microsoft Computer Vision OCR. Next, explore a Python application that uses Computer Vision to perform optical character recognition (OCR); create smart-cropped thumbnails; and detect, categorize, tag, and describe visual features in images. With OCR, it also absorbs the numbers on the packaging to better deliver. This app uses the Computer Vision API’s OCR functionality to extract the total from an invoice. Profile - Enables you to change the image detection algorithm that you want to use. At first we will install the Library and then its python bindings. Give your apps the ability to analyze images, read text, and detect faces with prebuilt image tagging, text extraction with optical character recognition (OCR), and responsible facial recognition. Azure AI Services offers many pricing options for the Computer Vision API. The OCR. Optical character recognition (OCR) is sometimes referred to as text recognition. Have a good understanding of the most powerful Computer Vision models. Text detection requests Note: The Vision API now supports offline asynchronous batch image annotation for all features. The fundamental advantage of OCR technology is that it makes text searches, editing, and storage simple, which simplifies data entry. Computer vision and image understanding in machine learning is the process of teaching computers to make sense of digital images. Features . The most used technique is OCR. Computer vision techniques have been recognized in the civil engineering field as a key component of improved inspection and monitoring. "Computer vision is concerned with the automatic extraction, analysis and. The newer endpoint ( /recognizeText) has better recognition capabilities, but currently only supports English. By uploading an image or specifying an image URL, Azure AI Vision algorithms can analyze visual content in different ways based on inputs and user choices. py file and insert the following code: # import the necessary packages from imutils. There are many standard deep learning approaches to the problem of text recognition. 2. Detection of text from document images enables Natural Language Processing algorithms to decipher the text and make sense of what the document conveys. The Read feature delivers highest. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. This state-of-the-art, cloud-based API provides developers with access to advanced algorithms that allow you to extract rich information from images to categorize and process visual data. Please refer to this article to configure and use the Azure Computer Vision OCR services. 0 and Keras for Computer Vision Deep Learning tasks. 2. It also has other features like estimating dominant and accent colors, categorizing. (a) ) Tick ( one box to identify the data type you would choose to store the data and. Text recognition on Azure Cognitive Services. The new API includes image captioning, image tagging, object detection, smart crops, people detection, and Read OCR functionality, all available through one Analyze Image operation. - GitHub - microsoft/Cognitive-Vision-Android: Android SDK for the Microsoft Computer Vision API, part of Cognitive Services. If you’re new to computer vision, this project is a great start. We then applied our basic OCR script to three example images. Following screenshot shows the process to do so. Instead, it. This entry was posted in Computer Vision, OCR and tagged CNN, CTC, keras, LSTM, ocr, python, RNN, text recognition on 29 May 2019 by kang & atul. Machine Learning. Initial OCR Results Feeding the image to the Tesseract 4. Run the dockerfile. Step 1: Create a new . Based on your primary goal, you can explore this service through these capabilities:The Computer Vision service provides pre-built, advanced algorithms that process and analyze images and extract text from photos and documents (Optical Character Recognition, OCR). After you install third-party support files, you can use the data with the Computer Vision Toolbox™ product. DisplayName - The display name of the activity. OpenCV in python helps to process an image and apply various functions like. I have a project that requires reading text (both printed and handwritten) from jpeg images of forms that have been filled out by hand (basically. What’s new in Computer Vision OCR AI Show May 21, 2021 Computer Vision just updated its models with industry-leading models built by Microsoft Research. By default, this field is set to Basic. Replace the following lines in the sample Python code. The latest version of Image Analysis, 4. Join me in computer vision mastery. However, there are two challenges related to this project: data collection and the differences in license plates formats depending on the location/country. The Read feature delivers highest. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. The field of computer vision aims to extract semantic. Then, by applying machine learning in a novel way, we could clean up these images to near. Click Add. In factory. Microsoft Computer Vision API. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces. Here you’ll learn how to successfully and confidently apply computer vision to your work, research, and projects. CosmosDB will be used to store the JSON documents returned by the COmputer Vision OCR process. Build sample OCR Script. In factory. It also has other features like estimating dominant and accent colors, categorizing. minutes 0. For the For the experimental evaluation, w e used a system with an Intel Core i7 6700HQ processor , Adrian: You and Synaptiq recently published a paper on using computer vision and OCR to automatically process and prepare supporting documents for the United States visa petitions presented at the IEEE / MLLD 2020 International Workshop on Mining and Learning in the Legal Domain in November. Join me in computer vision mastery. It also includes support for handwritten OCR in English, digits, and currency symbols from images and multi. 1. Bring your IDP to 99% with intelligent document processing. I want the output as a string and not JSON tree. Azure AI Vision is a unified service that offers innovative computer vision capabilities. 0 has been released in public preview. Updated on Sep 10, 2020. 0) The Computer Vision API provides state-of-the-art algorithms to process images and return information. It will blur the number plate and show a text for identification. CV applications detect edges first and then collect other information. Give your apps the ability to analyze images, read text, and detect faces with prebuilt image tagging, text extraction with optical character recognition (OCR), and responsible facial recognition. Computer Vision algorithms analyze the content of an image in different ways, depending on the visual features you're interested in. The number of training images per project and tags per project are expected to increase over time for S0. Whenever confronted with an OCR project, be sure to apply both methods and see which method gives you the best results — let your empirical results guide you. The URL field allows you to provide the link to which the browser opens. Alternatively, Google Cloud Vision API OCRs the text word-by-word (the default setting in the Google Cloud Vision API). Featured on Meta. The problem of computer vision appears simple because it is trivially solved by people, even very young children. Press the Create button at the. Computer Vision is an AI service that analyzes content in images. The default value is 0. At the same time, fine-tuned models are showing significant value in a range of use cases, as we will discuss below. Machine-learning-based OCR techniques allow you to extract printed or. However, several other factors can. An “Add New Item” dialog box will open, select “Visual C#” from the left panel, then select “Razor Component” from the templates panel, put the name as OCR. Spark OCR includes over 15 such filters, and the 3. The ability to build an open source, state of the art. The most used technique is OCR. The Vision framework performs face and face landmark detection, text detection, barcode recognition, image registration, and general feature tracking. CognitiveServices. Take OCR to the next level with UiPath. net core 3. Here’s our pipeline; we initially capture the data (the tables from where we need to extract the information) using normal cameras, and then using computer vision, we’ll try finding the borders, edges, and cells. Optical character recognition or OCR helps us detect and extract printed or handwritten text from visual data such as images. open source computer vision library, OpenCV and the T esseract OCR engine. To download the source code to this post. (OCR) on handwritten as well as digital documents with an amazing accuracy score and in just three seconds. This course is a quick starter for anyone who wants to explore optical character recognition (OCR), image recognition, object detection, and object recognition using Python without having to deal with all the complexities and mathematics associated with a typical deep learning process. The Computer Vision service provides developers with access to advanced algorithms for processing images and returning information. The primary goal of these algorithms is to extract relevant information from unstructured data sources like scanned invoices, receipts, bills, etc. Build frictionless customer experiences, optimize manufacturing processes, accelerate digital marketing campaigns, and more. Optical Character Recognition (OCR), the method of converting handwritten/printed texts into machine-encoded text, has always been a major area of research in computer vision due to its numerous applications across various domains -- Banks use OCR to compare statements; Governments use OCR for survey feedback. You will learn how to. We could even extend this to extract dates using OCR and automatically add an event on the calendar to remind users an invoice is due. As you can see, there is tremendous value in using an AI-based solution that incorporates OCR. The Computer Vision service provides developers with access to advanced algorithms for processing images and returning information. See the corresponding Azure AI services pricing page for details on pricing and transactions. So far in this course, we’ve relied on the Tesseract OCR engine to detect the text in an input image. Azure provides sample jupyter. The OCR engine examines the scanned-in image or bitmap for bright and dark parts, with the light. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. Azure ComputerVision OCR and PDF format. Computer Vision API Account. This API will cost you $1 per 1,000 transactions for the first. In order to use the Computer Vision API connectors in the Logic Apps, first an API account for the Computer Vision API needs to be created. GPT-4 with Vision, also referred to as GPT-4V or GPT-4V (ision), is a multimodal model developed by OpenAI. It also has other features like estimating dominant and accent colors, categorizing. Optical Character Recognition (OCR) is the process that converts an image of text into a machine-readable text format. Similar to the above, the Computer Vision API of Microsoft Azure makes it possible to build powerful photo- or video recognition applications with a simple API call. CognitiveServices. In this codelab you will focus on using the Vision API with C#. Neck aches. 1. For example, it can be used to extract text using Read OCR, caption an image using descriptive natural language, detect objects, people, and more. Remove informative screenshot - Remove the. Computer Vision API (v3. It also has other features like estimating dominant and accent colors, categorizing. You will learn about the role of features in computer vision, how to label data, train an object detector, and track. 1 webapp in Visual Studio and installed the dependency of Microsoft. We discussed how, unicorn startup, Instabase is using Azure Computer Vision which includes Optical Character Recognition (OCR) capabilities to extract data from documents or images. Free Bonus: Click here to get the Python Face Detection & OpenCV Examples Mini-Guide that shows you practical code examples of real-world Python computer vision techniques. Leveraging Azure AI. Enhanced can offer more precise results, at the expense of more resources. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. Through OCR, you can extract text from photos or pictures containing alphanumeric text, such as the word "STOP" in a stop sign. 1 Answer. Microsoft Computer Vision. The script takes scanned PDF or image as input and generates a corresponding searchable PDF document using Form Recognizer which adds a searchable layer to the PDF and enables you to search, copy, paste and access the text within the PDF. The Overflow Blog CEO update: Giving thanks and building upon our product & engineering foundation. We are using Tesseract Library to do the OCR. Computer Vision service provided by Azure provides 3000 tags, 86 categories, and 10,000 objects. 1 Answer. Activities. 0 has been released in public preview. We used computer vision and deep learning advances such as bi-directional Long Short Term Memory (LSTMs), Connectionist Temporal Classification (CTC), convolutional neural nets (CNNs), and more. These samples demonstrate how to use the Computer Vision client library for C# to. 27+ Most Popular Computer Vision Applications and Use Cases in 2023. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. Get Started; Topics. Hi, I’m using the UiPath Studio Community 2019. OCR software turns the document into a two-color or black-and-white version after scanning. GPT-4 with Vision, sometimes referred to as GPT-4V or gpt-4-vision-preview in the API, allows the model to take in images and answer questions about them. py file and insert the following code: # import the necessary packages from imutils. Through image analysis, you can generate a text representation of an image, such as "dandelion" for a photo of a dandelion, or the color "yellow". The latest version of Image Analysis, 4. Azure AI Vision is a unified service that offers innovative computer vision capabilities. Here is the extract of. It’s just a service like any other resource. The API uses Artificial Intelligence algorithms that improve with use, so you don’t. The OCR service can read visible text in an image and convert it to a character stream. My Courses. I decided to also use the similarity measure to take into account some minor errors produced by the OCR tools and because the original annotations of the FUNSD dataset contain some minor annotation. The In-Sight integrated light is a diffuse ring light that provides bright uniform lighting on the target for machine vision applications. To download the source code to this post. It provides star-of-the-art algorithms to process pictures and returns information. The American Optometric Association (AOA) describes CVS as a group of eye- and vision-related problems that result from prolonged computer, tablet, e-reader, and cell phone use. To create an OCR engine and extract text from images and documents, use the Extract text with OCR action. Train models on V7 or connect your own, and experience the impact of a powerful data engine. It also has other features like estimating dominant and accent colors, categorizing. Right side - The Type Into activity writes "Example" in the First Name field. Connect to API. We could even extend this to extract dates using OCR and automatically add an event on the calendar to remind users an invoice is due. EasyOCR, as the name suggests, is a Python package that allows computer vision developers to effortlessly perform Optical Character Recognition. Start with prebuilt models or create custom models tailored. Logon: API Key: The API key used to provide you access to the Microsoft Azure Computer Vision OCR. Computer Vision OCR (Read API) Microsoft’s Computer Vision OCR (Read) technology is available as a Cognitive Services Cloud API and as Docker. What is Computer Vision v4. Azure AI Vision is a unified service that offers innovative computer vision capabilities. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. These samples target the Microsoft. This kind of processing is often referred to as optical character recognition (OCR). OCR makes it possible for companies, people, and other entities to save files on their PCs. The Overflow Blog The AI assistant trained on your company’s data.