So OCR is Optical Character Recognition which is used to convert the image, printed text etc into machine-encoded text. OCR & Read – Both features apply optical character recognition (OCR) technology for detecting text in an image, which can be extracted for multiple purposes. Computer Vision algorithms analyze the content of an image in different ways, depending on the visual features you're interested in. It provides star-of-the-art algorithms to process pictures and returns information. 10. 3%) this time. Microsoft Cognitive Services API OCRs the image line-by-line, resulting in the text “Old Town Rd” and “All Way” to be OCR’d as a single line. 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. OpenCV provides a real-time optimized Computer Vision library, tools, and hardware. 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. For. 1) and RecognizeText operations are no longer supported and should not be used. Azure AI Vision is a unified service that offers innovative computer vision capabilities. It. 2. It converts analog characters into digital ones. Computer Vision API (v3. After it deploys, select Go to resource. The Overflow Blog CEO update: Giving thanks and building upon our product & engineering foundation. 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. After creating computer vision. We will also install OpenCV, which is the Open Source Computer Vision library in Python. 0. But with AI Computer Vision, robots can “see” the elements they need—even through a VDI. 全角文字も結構正確に読み取れていました。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. Data is the lifeblood of AI systems, which rely on robust datasets to learn and make predictions or decisions. The cloud-based Azure AI Vision API provides developers with access to advanced algorithms for processing images and returning information. Document Digitization. Form Recognizer is an advanced version of OCR. The primary goal of these algorithms is to extract relevant information from unstructured data sources like scanned invoices, receipts, bills, etc. The service also provides higher-level AI functionality. 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. 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. Refer to the image shown below. It provides four services: OCR, Face service, Image Analysis, and Spatial Analysis. Scene classification. We can use OCR with web app also,I have taken the . Understand and implement convolutional neural network (CNN) related computer vision approaches. Utilize FindTextRegion method to auto detect text regions. 2. We’ve coded an algorithm using Computer Vision to find the position of information in the tables using thresholding, dilation, and contour detection techniques. In this article. In OCR, scanner is provided with character recognition software which converts bitmap images of characters to equivalent ASCII codes. , e-mail, text, Word, PDF, or scanned documents). 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. If you haven't, follow a quickstart to get started. This article explains the meaning. Therefore, your model might not be accurate unless you train large amounts of data (if you manage to. This is useful for images that contain a lot of noise, images with text in many different places, and images where text is warped. The ability to classify individual pixels in an image according to the object to which they belong is known as: Q32. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. A dataset comprising images with embedded text is necessary for understanding the EAST Text Detector. However, you can use OCR to convert the image into. CV. EasyOCR, as the name suggests, is a Python package that allows computer vision developers to effortlessly perform Optical Character Recognition. All Course Code works in accompanying Google Colab Python Notebooks. Create a custom computer vision model in minutes. 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. It helps the OCR system to handle a wide range of text styles, fonts, and orientations, enhancing the system’s overall. Our basic OCR script worked for the first two but. OCI Vision is an AI service for performing deep-learning–based image analysis at scale. 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. How does the OCR service process the data? The following diagram illustrates how your data is processed. Consider joining our Discord Server where we can personally help you. Over the years, researchers have. To analyze an image, you can either upload an image or specify an image URL. Click Add. Create an ionic Project using the following command at Command Prompt. Just like computer vision is the advanced study of writing software that can understand what’s in an image, NLP seeks to do the same, only for text. GetModel. 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. Due to the diffuse nature of the light, at closer working distances (less than 70mm. OCR & Read – Both features apply optical character recognition (OCR) technology for detecting text in an image, which can be extracted for multiple purposes. See definition here. This feature will identify and tag the content of an image, give a written description, and give you confidence ratings on the results. You only need about 3-5 images per class. OCR is classified into: (i) offline text recognition, and (ii) online text recognition. The newer endpoint ( /recognizeText) has better recognition capabilities, but currently only supports English. Dr. Here you’ll learn how to successfully and confidently apply computer vision to your work, research, and projects. Right-click on the BlazorComputerVision/Pages folder and then select Add >> New Item. CosmosDB will be used to store the JSON documents returned by the COmputer Vision OCR process. For example, it can be used to extract text using Read OCR, caption an image using descriptive natural language, detect objects, people, and more. For more information on text recognition, see the OCR overview. In this quickstart, you'll extract printed text from an image using the Computer Vision REST API OCR operation feature. Inside PyImageSearch University you'll find: ✓ 81 courses on essential computer vision, deep learning, and OpenCV topics ✓ 81 Certificates of Completion ✓ 109+. The OCR tools will be compared with respect to the mean accuracy and the mean similarity computed on all the examples of the test set. WaitActive - When this check box is selected, the activity also waits for the specified UI element to be active. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. Table of Contents Text Detection and OCR with Google Cloud Vision API Google Cloud Vision API for OCR Obtaining Your Google Cloud Vision API Keys. It also has other features like estimating dominant and accent colors, categorizing. Because of this similarity,. 5 times faster. Optical Character Recognition (OCR) – The 2024 Guide. For example, if you scan a form or a receipt, your computer saves the scan as an image file. Text analysis, computer vision, and spell-checking are all tasks that Microsoft cognitive actions can perform. 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. Installation. 0 has been released in public preview. How to apply Azure OCR API with Request library on local images?Nowadays, each product contains a barcode on its packaging, which can be analyzed or read with the help of the computer vision technique OCR. The following figure illustrates the high-level. That said, OCR is still an area of computer vision that is far from solved. , invoices) is a core but challenging task since it requires complex functions such as reading text and a holistic understanding of the document. Read API multipage PDF processing. The Syncfusion . These API’s don’t share any benchmark of their abilities, so it becomes our responsibility to test. Azure AI Vision is a unified service that offers innovative computer vision capabilities. Activities `${date:format=yyyy-MM-dd. The READ API uses the latest optical character recognition models and works asynchronously. This article is the reference documentation for the OCR skill. Detection of text from document images enables Natural Language Processing algorithms to decipher the text and make sense of what the document conveys. In some way, the Easy OCR package is the driver of this post. Alternatively, Google Cloud Vision API OCRs the text word-by-word (the default setting in the Google Cloud Vision API). Computer Vision helps give technology a similar ability to digest information quickly. It also allows uploading images, text or other types of files to many supported destinations you can choose from. Check out the hottest computer vision applications in the most prominent industries including agriculture, healthcare, transportation, manufacturing, and retail. Machine vision can be used to decode linear, stacked, and 2D symbologies. Optical Character Recognition (OCR) extracts texts from images and is a common use case for machine learning and computer vision. Power Automate enables users to read, extract, and manage data within files through optical character recognition (OCR). It was invented during World War I, when Israeli scientist Emanuel Goldberg created a machine that could read characters and convert them into telegraph code. Optical Character Recognition (OCR) is the tool that is used when a scanned document or photo is taken and converted into text. 38 billion by 2025 with a year on year growth of 13. Azure Cognitive Services の 画像認識 API である、Computer Vision API v3. Gaming. When will this legacy API be retiring (endpoints become inactive)? a) When in 2023 will it be available in GA? b) Will legacy OCR API be available till then?Computer Vision API (v3. Vision Studio provides you with a platform to try several service features and sample their. These samples target the Microsoft. 0 REST API offers the ability to extract printed or handwritten text from images in a unified performance-enhanced synchronous API that makes it easy to get all image insights including OCR results in a single API operation. Nowadays, computer vision (CV) is one of the most widely used fields of machine learning. The Computer Vision API provides access to advanced algorithms for processing media and returning information. ClippingRegion - Defines the clipping rectangle, in pixels, relative to the. Hi, I’m using the UiPath Studio Community 2019. Use of computer vision in IronOCR will determine where text regions exists and then use Tesseract to attempt to read. Optical Character Recognition or Optical Character Reader (or OCR) describes the process of converting printed or handwritten text into a digital format with image processing. ; Input. McCrodan supports patients of all ages and abilities, including those with reading and learning issues, head trauma, concussions, and sports vision needs. With the help of information extraction techniques. The most used technique is OCR. The following example extracts text from the entire specified image. Overview The Google Cloud 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. At first we will install the Library and then its python bindings. Analyze and describe images. 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. The Computer Vision API v3. To test the capabilities of the Read API, we’ll use a simple command-line application that runs in the Cloud Shell. Profile - Enables you to change the image detection algorithm that you want to use. Azure AI Vision is a unified service that offers innovative computer vision capabilities. Our multi-column OCR algorithm is a multi-step process. It uses the. Search for “Computer Vision” on Azure Portal. Join me in computer vision mastery. Check which text region get detected with StampCropRectangleAndSaveAs method. The ability to build an open source, state of the art. Vision. Computer Vision algorithms analyze the content of an image in different ways, depending on the visual features you're interested in. We then applied our basic OCR script to three example images. Vision also allows the use of custom Core ML models for tasks like classification or object. Choose between free and standard pricing categories to get started. Computer vision and image understanding in machine learning is the process of teaching computers to make sense of digital images. 2 GA Read OCR container Article 08/29/2023 4 contributors Feedback In this article What's new. 0 Read OCR (preview)? The new Computer Vision Image Analysis 4. The Vision framework performs face and face landmark detection, text detection, barcode recognition, image registration, and general feature tracking. ”. Computer Vision. computer-vision; ocr; or ask your own question. To install it, open the command prompt and execute the command “pip install opencv-python“. 7 %. where workdir is the directory contianing. OCR takes the text you see in images – be it from a book, a receipt, or an old letter – and turns it. This repository provides the latest sample code for Cognitive Services Computer Vision SDK quickstarts. Sorted by: 3. Originally written in C/C++, it also provides bindings for Python. You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch. The Azure AI Vision Image Analysis service can extract a wide variety of visual features from your images. Find here everything you need to guide you in your automation journey in the UiPath ecosystem, from complex installation guides to quick tutorials, to practical business examples and automation best practices. In this codelab you will focus on using the Vision API with C#. That can put a real strain on your eyes. When completed, simply hop. Azure AI Vision Image Analysis 4. Example of Optical Character Recognition (OCR) 4. I'm attempting to leverage the Computer Vision API to OCR a PDF file that is a scanned document but is treated as an image PDF. This container has several required settings, along with a few optional settings. Vertex AI Vision includes Streams to ingest real-time video data, Applications that lets you create an application by combining various components and. However, several other factors can. Try using the read_in_stream () function, something like. Optical character recognition (OCR) technology is an efficient business process that saves time, cost and other resources by utilizing automated data extraction and storage capabilities. 0 REST API offers the ability to extract printed or handwritten. The Computer Vision service provides developers with access to advanced algorithms for processing images and returning information. Given an input image, the service can return information related to various visual features of interest. In this article, we will learn how to use contours to detect the text in an image and. Next, the OCR engine searches for regions that contain text in the image. That’s why we’ve added a new Computer Vision tool group to Intelligence Suite—to help you process large sets of documents in a quick and automated fashion. Before we can use the OCR of Computer Vision, we need to set it up in Azure Cloud. Activities. It will blur the number plate and show a text for identification. So today we're talking about computer vision. Specifically, read the "Docker Default Runtime" section and make sure Nvidia is the default docker runtime daemon. 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. We are thrilled to announce the preview release of Computer Vision Image Analysis 4. Bring your IDP to 99% with intelligent document processing. You can also extract metadata about the image, such as. We will use the OCR feature of Computer Vision to detect the printed text in an image. In this article, we will create an optical character recognition (OCR) application using Blazor and the Azure Computer Vision Cognitive Service. Microsoft also has the more comprehensive C omputer Vision Cognitive Service, which allows users to train your own custom neural network along with the VOTT labeling tool, but the Custom Vision service is much simpler to use for this task. 0, which is now in public preview, has new features like synchronous. RnD. 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. Azure AI Vision is a unified service that offers innovative computer vision capabilities. Apply computer vision algorithms to perform a variety of tasks on input images and video. Step 1: Create a new . Object Detection. Initial OCR Results Feeding the image to the Tesseract 4. Desktop flows provide a wide variety of Microsoft cognitive actions that allow you to integrate this functionality into your desktop flows. Build sample OCR Script. Instead you can call the same endpoint with the binary data of your image in the body of the request. 8 A teacher researches the length of time students spend playing computer games each day. McCrodan. 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. 1) The Computer Vision API provides state-of-the-art algorithms to process images and return information. Azure AI Vision is a unified service that offers innovative computer vision capabilities. Text recognition on Azure Cognitive Services. It also has other features like estimating dominant and accent colors, categorizing. It combines computer vision and OCR for classifying immigrant documents. CV applications detect edges first and then collect other information. Azure Cognitive Services Computer Vision SDK for Python. 1 Answer. Elevate your computer vision projects. computer-vision; ocr; azure-cognitive-services; or ask your own question. GPT-4 with Vision falls under the category of "Large Multimodal Models" (LMMs). UIAutomation. sudo docker run -it --rm -v ~/workdir:/workdir/ --runtime nvidia --network host scene-text-recognition. OCR software turns the document into a two-color or black-and-white version after scanning. Object detection and tracking. Traditional OCR solutions are not all made the same, but most follow a similar process. With the OCR method, you can detect printed text in an image and extract recognized characters into a. Options. Optical character recognition (OCR) is the process of recognizing characters from images using computer vision and machine learning techniques. It isn’t one specific problem. Authenticate (with subscription or API keys): The most common way to authenticate access to the Azure AI Vision API and its Read OCR is by using the customer's Azure AI Vision API key. In this comprehensive course, you'll learn everything you need to know to master computer vision and deep learning with Python and OpenCV. The Read feature delivers highest. Next Step. Introduction. An essential component of any OCR system is image preprocessing — the higher the quality input image you present to the OCR engine, the better your OCR output will be. You need to enable JavaScript to run this app. Optical Character Recognition is a detailed process that helps extract text from images using NLP. CVScope. OCR is a subset of computer vision that only performs text recognition. Starting with an introduction to the OCR. I want the output as a string and not JSON tree. (OCR) of printed text and as a preview. As it still has areas to be improved, research in OCR has continued. In this article. Several examples of the command are available. Hands On Tutorials----Follow. Azure Cognitive Services offers many pricing options for the Computer Vision API. Give your apps the ability to analyze images, read text, and detect faces with prebuilt image. py file and insert the following code: # import the necessary packages from imutils. Extract rich information from images to categorize and process visual data—and protect your users from unwanted content with this Azure Cognitive Service. いくつか財務諸表のサンプルを用意して、それらを OCR にかけてみました。 感想は以下のとおりです。 思ったより正確に文字が読み取れる. days 0. Intelligent Document Processing (IDP) is a software solution that captures, transforms, and processes data from documents (e. Powerful features, simple automations, and reliable real-time performance. · Dedicated In-Course Support is provided within 24 hours for any issues faced. 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. If you’re new or learning computer vision, these projects will help you learn a lot. Example of Object Detection, a typical image recognition task performed by Computer Vision APIs 3. Oftentimes unstructured data is captured via camera or sensor then routed into a data ingestion engine where it is processed and classified. Requirements. You'll start with the basics of Python and OpenCV, and then gradually work your way up to more advanced topics, such as: Image processing. A common computer vision challenge is to detect and interpret text in an image. You can use the set of sample images on GitHub. By uploading a media asset or specifying a media asset’s URL, Azure’s Computer Vision algorithms can analyze visual content in different ways based on inputs and user choices, tailored to your business. We are using Tesseract Library to do the OCR. Optical Character Recognition (OCR) is the process that converts an image of text into a machine-readable text format. OCR technology: Optical Character Recognition technology allows you convert PDF document to the editable Excel file very accuracy. Computer Vision is an AI service that analyzes content in images. Here, we use the Syncfusion OCR library with the external Azure OCR engine to convert images to PDF. The images processing algorithms can. , form fields) is Step #1 in implementing a document OCR pipeline with OpenCV, Tesseract, and Python. As I had mentioned, matrix manipulation allows them to detect where objects are, they use the binary representation of the images. As you can see, there is tremendous value in using an AI-based solution that incorporates OCR. To accomplish this part of the project I planned to use Microsoft Cognitive Service Computer Vision API. You need to enable JavaScript to run this app. Azure Computer Vision Service is a prebuilt computer vision solution that allows you to analyze images, recognize text and detect objects in images without writing a single line of code. NET Console application project. Here you’ll learn how to successfully and confidently apply computer vision to your work, research, and projects. Current VDU methods [17, 21, 23, 60, 61] solve the task in a two-stage manner: 1) reading the texts in the document image; 2) holistic understanding of the document. The OCR skill extracts text from image files. Computer Vision 1. py file and insert the following code: # import the necessary packages from imutils. 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. The Computer Vision service provides developers with access to advanced algorithms for processing images and returning information. once you register in the microsoft azure and click on the “Key”(the license key next to “computer vision” you get endpoint and Key. This reference app demos how to use TensorFlow Lite to do OCR. Applying computer vision technology,. About this video. Objects can be the “geometry or. It also has other features like estimating dominant and accent colors, categorizing. Learn the basics of computer vision by applying a typical workflow—tracking-by-detection—to video of turtles crawling towards the sea. Designer panel. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. Microsoft Cognitive Services API OCRs the image line-by-line, resulting in the text “Old Town Rd” and “All Way” to be OCR’d as a single line. On the other hand, Azure Computer Vision provides three distinct features. Computer Vision OCR (Read API) Microsoft’s Computer Vision OCR (Read) technology is available as a Cognitive Services Cloud API and as Docker containers. Although all products perform above 95% accuracy when handwriting is excluded, Azure Computer Vision and Tesseract OCR still have issues with scanned documents, which puts them behind in this comparison. 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. Computer Vision, often abbreviated as CV, is defined as a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. OCR is a computer vision task that involves locating and recognizing text or characters in images. Copy code below and create a Python script on your local machine. 0. 2 の一般提供が 2021 年 4 月に開始されました。このアップデートには、73 言語で利用可能な OCR (Read) が含まれており、日本語の OCR を Read API を使って利用することができるようになりました. Computer Vision gives the machines the sense of sight—it allows them to “see” and explore the world thanks to. Computer vision foundation models, which are trained on diverse, large-scale dataset and can be adapted to a wide range of downstream tasks, are critical. (OCR) on handwritten as well as digital documents with an amazing accuracy score and in just three seconds. IronOCR is a popular OCR library that uses computer vision techniques for text extraction from images and documents. Optical Character Recognition (OCR) – The 2024 Guide. The Azure AI Vision service provides two APIs for reading text, which you’ll explore in this exercise. github. If you need help learning computer vision and deep learning, I suggest you refer to my full catalog of. Although CVS has not been found to cause any permanent. - GitHub - microsoft/Cognitive-Vision-Android: Android SDK for the Microsoft Computer Vision API, part of Cognitive Services. Deep Learning; Dlib Library; Embedded/IoT and 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. 1- Legacy OCR API is still active (v2. The OCR. Alternatively, Google Cloud Vision API OCRs the text word-by-word (the default setting in the Google Cloud Vision API). ComputerVision by selecting the check mark of include prerelease as shown in the below image:. 1. It remains less explored about their efficacy in text-related visual tasks. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces. ANPR tends to be an extremely challenging subfield of computer vision, due to the vast diversity and assortment of license plate types across states and countries. Join me in computer vision mastery. Contact Sales. 0. Why Computer Vision. This is referred to as visual question answering (VQA), a computer vision field of study that has been researched in detail for years. You can. Backaches. OpenCV (Open source computer vision) is a library of programming functions mainly aimed at real-time computer vision. We can't directly print the ingredients like a string. Furthermore, the text can be easily translated into multiple languages, making. Optical Character Recognition or Optical Character Reader (or OCR) describes the process of converting printed or handwritten text into a digital format with. The latest version, 4. Edge & Contour Detection . Azure ComputerVision OCR and PDF format. Join me in computer vision mastery. Vision. Summary. The Cognitive services API will not be able to locate an image via the URL of a file on your local machine. 1. 2 in Azure AI services. INPUT_VIDEO:. I had the same issue, they discussed it on github here. 2) The Computer Vision API provides state-of-the-art algorithms to process images and return information. Eye irritation (Dry eyes, itchy eyes, red eyes) Blurred vision. 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. We understand that trying to perform OCR or even utilizing it with Machine Learning (ML) has. By default, the value is 1. Today, we'll explore optical character recognition (OCR)—the process of using computer vision models to locate and identify text in an image––and gain an in-depth understanding of some of the common deep-learning-based OCR libraries and their model architectures. 0, which is now in public preview, has new features like synchronous. 2. As the name suggests, the service is hosted on. Azure AI Vision Image Analysis 4. Get Started; Topics. For industry-specific use cases, developers can automatically. Basic is the classical algorithm, which has average speed and resource cost. The Microsoft Computer Vision API is a comprehensive set of computer vision tools, spanning capabilities like generating smart. 0 (public preview) Image Analysis 4. ShareX is a free and open source program that lets you capture or record any area of your screen and share it with a single press of a key. Computer Vision API (v3. Since OCR is, by nature, a computer vision problem, using the Python programming language is a natural fit. 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. 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. 0 and Keras for Computer Vision Deep Learning tasks. EasyOCR, as the name suggests, is a Python package that allows computer vision developers to effortlessly perform Optical Character Recognition. DisplayName - The display name of the activity. For Greek and Serbian Cyrillic, the legacy OCR API is used. Document Digitization. Learn OCR table Deep Learning methods to detect tables in images or PDF documents. Using digital images from. 1. Computer Vision API (v2. (OCR). Vision Studio. Computer vision is one of the core areas of artificial intelligence and can enable your solution to ‘see’ images and videos and make sense of them. Learn how to analyze visual content in different ways with quickstarts, tutorials, and samples. Written by Robin T.