Google Vision Ocr Example Java


At Google, we think that AI can meaningfully improve people’s lives and that the biggest impact will come when everyone can access it. Several models are accessible using one REST API interface…. Object Detection Using Faster R-CNN Deep Learning. In your project-level build. Cloud Vision API provides automatic language identification, and supports a wide variety of languages. OneNote supports Optical Character Recognition (OCR), a tool that lets you copy text from a picture or file printout and paste it in your notes so you can make changes to the words. Can anyone please give difference between these two API's. Developers can access code to import libraries, API to recognize an image, and run application. Low Vision? We Can Help! Enhanced Vision understands the challenges experienced when one is diagnosed with low vision. react-native-tesseract-ocr is a react-native wrapper for Tesseract OCR using base on. Hello world. Cloud Vision vs Azure OCR vs Free OCR API Test which online OCR service fits best for your project: Upload your image, select the OCR engine to test (Google Cloud Vision OCR, Microsoft Azure Cognitive Services Computer Vision API, OCR. In general, though, OCR typically refers to printed text only, unless otherwise specified. As a convenience, you can specify tool tip text when you add a component to the tabbed pane. All Answers (5) The tesseract algorithm is available on Google Code, and is one of the best open source OCR out there. For the bottom image, the OCR does not recognize the hand-written price tags on the fruit stand. Reading Text from Images Using Java. Go to the Google Cloud Platform website and click the try for free button. Type Name Latest commit message Commit time. And then the problems began. Optical Character Recognition to retrieve text from an image. Therefore here lets understand the usage of Google’s Mobile Vision with an example where we scan a QR code on Android. Install the New Update. Explore a Java Swing application that uses Computer Vision to perform optical character recognition (OCR); create smart-cropped thumbnails; plus detect, categorize, tag, and describe visual features, including faces, in an image. The Text API detects text in Latin based languages (French, German, English, etc. First, let’s add something to OCR into OneNote. The following are top voted examples for showing how to use com. J4L Java wrapper for Tesseract OCR engine 3. Before you begin. Purpose: An example of UML activity diagram which describes Single Sign-On (SSO) to Google Apps for customers using some hosted Google application, such as Gmail. This blog post is divided into three parts. The OCR tutorial is hosted in the Google Cloud Functions documentation. The default classifier is based in the scene text recognition method proposed by Lukás Neumann & Jiri Matas in [Neumann11b]. In this post we will focus on explaining how to use OCR on Android. In this video we have used the google vision Api using OCR concepts in Android Studio. Students completing the course will have the knowledge to create functional and useful Image Processing Apps. Microsoft cognitive-services VS Google Vision API Simple comparison of result of Microsoft cognitive-services VS Google Vision API. or $ yarn add react-native-tesseract-ocr. If you're brand new to Android and want to jump into code, start with the Build Your First App tutorial. OCR, or optical character recognition, recognizes text characters based on their optical characteristics, and transforms an image file into a fully searchable, editable file. 参考:AndroidでCloudVisionを使った際のGoogle Developer Consoleの登録の流れ. Optical Character Recognition (OCR) gives a computer the ability to read text that appears in an image, letting applications make sense of signs, articles, flyers, pages of text, menus, or any other place that text appears as part of an image. gradle file, make sure to include Google's Maven repository in both your buildscript and allprojects sections. Best free OCR API, Online OCR and Searchable PDF (Sandwich PDF) Service. Teaseract is ok printed material that's neatly organized, but other than that it seems the only other programmatic ocr is google cloud vision. NET is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc. This is important if you want to parse the fetched text. Re-Sizing The View. This application is built using the LEADTOOLS OCR Advantage SDK. OCR Cloud 2. Orange Box Ceo 6,184,204 views. FreeOCR API 5. …Again, I think this is something…almost easier to see than to say. The default classifier is based in the scene text recognition method proposed by Lukás Neumann & Jiri Matas in [Neumann11b]. 0, and development has been sponsored by Google since 2006. In this article, we are going to learn how to use Google Vision API with ASP. Here are some example CAPTCHA images from a recent website I worked with:. List getPropertiesList () Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity. On some Android phones, like Pixel: Open your device's Google Camera app More Google Lens. The candidate should have some experience working with python NLP libraries (such as NLTK, SpaCy) as well as off the shelf OCR engines (such as google vision and AWS Textract). Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output. The next part of the code will be properly commented so the read out should be easier. In this post we will focus on explaining how to use OCR on Android. ② Cloud Vision API keyの取得 ③ Android StudioでCloudVisionディレクトリをopen ④ 取得したAPI keyをMainActivity. This page contains information about getting started with the Cloud Vision API using the Google API Client Library for. APIs are broken down into five main categories: vision, speech, language, knowledge, and search. This Opencv C++ tutorial is about extracting text from an image using Tesseract OCR libraries. less more We have developed a set of python based data extraction algorithms for document processing. A good read would be an article on achieving OCR in Windows Store Apps using Bing OCR Control (Getting Started With Optical Character Recognition (OCR) in Windows Store Apps). To install the new update, click on the notification dialog. Getting to OCR accuracy levels of 99% or higher is however still rather the exception and definitely not trivial to achieve. Google Cloud Vision API and Tesseract OCR can be primarily classified as "Image Analysis API" tools. UnsatisfiedLinkError: Unable to load library 'libtesseract302' " it seems that this problem is caused by the usage of 32 bits dll in a 64bits jvm. This blog. A package is simply a container that groups related types (Java classes, interfaces, enumerations and annotations). With the release of Google Play services 7. Projects Community Docs. Was this page helpful? Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 3. wpilibj Classes in the edu. " At the bottom right, tap Google Lens. 31K GitHub forks. But when it comes to scanning a realtime camera feed. isOperational. Text Recognition SDKs (OCR/ICR) OCR/ICR: How It's Used and How to Build Applications to Read Text. Kotlin is 100% interoperable with the Java programming language, so you can have as little or as much of Kotlin in your project as you want. To use an API, you make a request. The OCR API has three tiers/levels. This is one of the sample applications that is shipped with LEADTOOLS, the award-winning SDK for programmers. We'll then devise a computer vision and image processing algorithm that can:. Introducing an Android OCR Library - Text Recognition API. Google provided a simple tutorial to tryout the barcode scanning library with a simple bitmap image. If you were looking for a way to solve some of your doubts about Android, we explain through this video tutorial and in a practical way those contents that can help you to understand and understand more easily everything you did not know about this operating. Protobuf type google. See the ML Kit quickstart sample on GitHub for an example of this API in use, or try the codelab. Search Google; About Google; Privacy; Terms. The following are Jave code examples for showing how to use getValue() of the com. opensource. Google Cloud Vision classifies the image into categories based on similar images, analyzes the content based on the type of analysis provided in the developer's request, and returns the results and a score of confidence in its analysis. Google's open source OCR work This is the sort of thing that makes me like Google again. This Opencv C++ tutorial is about extracting text from an image using Tesseract OCR libraries. B4A Library OCR - Optical Character Recognition with Google Play Services (Android Vision) - Johan Schoeman Aug 28, 2016 (30 likes) tags: OCR. Essentials of the Java Programming Language: A Hands-On Guide, Part 1, Part 2 Get a quick start with these introductory articles. Once detected, the recognizer then determines the actual text in each block and segments it into lines and words. java:552) You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. Tesseract-OCR for Android Studio (MainActivity. I tried this and most of what I got was garbage (picture taken with 8MP HTC Evo camera, moderately good light conditions, printed text black on white). NET, C++ and IronPython. TensorFlow is an open-source software library for Machine Intelligence provided by Google. Cloud Vision Explorer. If you like the video please like share and subscribe! Visit my blog:. Cloud OCR with Google Vision API with Spring Boot Posted on August 1, 2016 August 6, 2016 Allan Tan Posted in Java , Technology Center Google has released its Google Vision API that allows developers to use advanced AI techniques to analyze images. Google Cloud Vision. Summary : When a user attempts to use some hosted Google application, such as Gmail, Google generates a SAML authentication request and sends redirect request back to the user's browser. less more We have developed a set of python based data extraction algorithms for document processing. In this post we will focus on explaining how to use OCR on Android. OCR is an optical character recognition and is the mechanical or electronic translation of images of typewritten or handwritten (usually captured by a scanner) into machine-editable text. Get an ad-free experience with special benefits, and directly support Reddit. Image processing with the Computer Vision API | Microsoft Azure. Amazon Rekognition makes it easy to add image and video analysis to your applications. This blog post is divided into three parts. It was clear that mobility and. to an Acrobat like PDF printer and those created by scanning physical paper like pages of a book, legal documents, etc. Computer Vision (CV) allows your Raspberry Pi to see things. Hopefully, the source code is also quite readable. Computer Vision API - v2. C# code to get text from Image or PDF via OCR in Aquaforest OCR SDK. optical character recognition (OCR) with java. b A case tool, used for reverse engineering, that lets you draw a flow chart and convert it to java source code. Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity. Here, we will just import the Google Vision API Library with Android Studio and implement the OCR for retrieving text from image. I agree to receive these communications from SourceForge. Ajaxian Ben and Dion’s Ajax Platform. Google Vision API は OCR が API 経由で使えるサービスです 1000 ユニットまでは無料で使えます ユニットは画像に含まれる解析対象の情報の単位です (例えば 1 枚の画像から 1 つのテキストと 1 つの顔認識をする場合は 2 ユニット). js was used for OCR (Optical Character Recognition). Feb 18, 2016 · After a short limited preview, Google today announced the public beta of its Cloud Vision API — a service that allows developers to easily build image recognition and classification features. Just bring a few examples of labeled images and let Custom Vision do the hard work. js was used for OCR (Optical Character Recognition). ML Kit has some built-in modules that enable text recognition, face detection, barcode scanning and more. Powerful Royalty Free OCR SDK for. Managing OCR Documents in Google Drive. There is no special configuration required. Free Online OCR Convert scanned images into editable text. The OCR tutorial is hosted in the Google Cloud Functions documentation. See the ML Kit quickstart sample on GitHub for an example of this API in use. About Computer Vision. It was founded in 1986 and has been a major center of government- and industry-sponsored research in computer vision and machine learning. Orange Box Ceo 6,184,204 views. Google has opened their Cloud Vision API. Several models are accessible using one REST API interface…. OCR software works by analyzing a document and comparing it with fonts stored in its database and/or by noting features typical to characters. But when it comes to scanning a realtime camera feed. Explore a JavaScript application that uses the Computer Vision REST API to perform optical character recognition (OCR), create smart-cropped thumbnails, plus detect, categorize, tag, and describe visual features, including faces, in an image. In general, though, OCR typically refers to printed text only, unless otherwise specified. It is unclear to me whether Google Vision might stop functioning in the future or could become a paid service. Try instantly, no registration required. The archive contains photos and scanned images of documents in English, French, German, Arabic, Chinese, Japanese, Korean, and other languages. High performance, royalty-free C#. Go to the Google Cloud Platform website and click the try for free button. On this wiki, we provide examples for all those languages, which are available from the Examples section on Tutorial page. Learn more about our projects and tools. Leverage the high-level LEADTOOLS OCR toolkit to rapidly develop robust, scalable, and high-performance recognition and document processing applications that extract text from scanned documents and convert images to text-searchable formats. The detection and use of interest points in computer vision is presented with applications for image matching and object recognition. Google AI – Vision API Python Tutorial (Part 8): Image Properties Detection Java Properties, Map, HashMap (=Dictionaries in Python) May 8, 2019 admin 0. To securely communicate with Google Cloud Vision, we used the Google API Client Library for Java to establish an HTTPS connection via our proxy server. Google's corporate vision is "to provide access to the world's information in one click. This example shows how to use the ocr function from the Computer Vision Toolbox™ to perform Optical Character Recognition. This is a sample project demonstrating how OCR (optical character recognition) can be implemented using Google Vision library. Google Vision API - Examples and Python utilities. Computer Vision API - v1. The samples build using Gradle in Android Studio. Google Firebase ML Kit is a set of the tools which helps to implement machine learning on Android and iOS – OCR is one of them. Optical Character Recognition to retrieve text from an image. Analyze images and extract the data you need with the Computer Vision API from Microsoft Azure. Cloud Vision Explorer. When a new Java update is available, a tooltip balloon appears on your Windows desktop. At the time of this writing, this feature is in preview and provides 5,000 transactions per month, but the price to use this feature in production is expected to be $1. LEADTOOLS OCR. Free Online OCR is a free service that allows you to easily convert scanned documents, PDFs, scanned invoices, screenshots and photos into editable and searchable text, such as DOC, TXT or PDF. Optical character recognition or optical character reader (OCR) is the mechanical or electronic 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) or from subtitle text superimposed on an image (for example from a television broadcast). app: Update the gradle ersions and buildToolsVersions of the codelabs to m…. To learn more about the main differentiators between a good data scientist and a rockstar data scientist, I kept. Google Cloud Vision API 2. Java Package. Drawing on the work of a clever cadre of academic researchers, the biggest names in tech—including Google, Facebook, Microsoft, and Apple—are embracing a more powerful form of AI known as. In this tutorial, we will learn how to do Optical Character Recognition with a Camera in Android using Vision API. Filing a Patient Safety Confidentiality Complaint Read about the Patient Safety Confidentiality Act and how to file a complaint online or in writing. Speak a voice memo on the go and have it automatically transcribed. Therefore lets first define a class to get an OAuth token. By following this link, you are leaving the Vision API documentation and visiting the Cloud Functions docs: Optical character recognition (OCR) tutorial. A comprehensive set of source codes can be used by software engineers during the development. With the release of Google Play services 7. Three birds with one stone B4A Tutorial MJPEG / CCTV Server B4A Question (of OCR only. gradle file, make sure to include Google's Maven repository in both your buildscript and allprojects sections. Was this page helpful? Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 3. It was clear that mobility and. Close all applications including the browser. Page pages = 1; getText java. They enable you to perform all sort of actions ranging from reading PDF, Excel or Word documents and working with databases or terminals, to sending HTTP requests and monitoring user events. In order to use it, we had to send the entire file, or we could alternatively use Google Cloud Storage to save on bandwidth costs. compile 'com. This page includes java programs on various java topics such as control statements, loops, classes & objects, functions, arrays etc. 8 we're excited to announce that we've added new Mobile Vision APIs which provide bar code detection APIs that read and decode a myriad of different bar code types, quickly, easily and locally. What Is Google's Vision Statement? Google's official mission or vision statement is to organize all of the data in the world and make it accessible for everyone in a useful way. Subscribe Now Filed Under: Deep Learning , how-to , OCR , OpenCV 3 , Text Recognition , Tools , Tutorial Tagged With: deep learning , ocr , OpenCV 3 , tesseract , tutorial. Beginner's Guide to Google's Vision API in Python (article) - DataCamp Learn what Vision API is and what are all the things that it offers. Text Recognition SDKs (OCR/ICR) OCR/ICR: How It's Used and How to Build Applications to Read Text. Explore a Java Swing application that uses Computer Vision to perform optical character recognition (OCR); create smart-cropped thumbnails; plus detect, categorize, tag, and describe visual features, including faces, in an image. If you haven't already, add Firebase to your Android project. Asprise Java OCR (optical character recognition) and barcode recognition SDK offers a high performance API library for you to equip your Java applications (Java applets, web applications, Swing/JavaFX components, JEE enterprise applications) with functionality of extracting text and barcode information from scanned documents. The library is cross-platform and free for use under the open-source BSD license. See the ML Kit quickstart sample on GitHub for an example of this API in use, or try the codelab. Get Your Free OCR API Key. And as you might know, to perform a Google API Client OAuth request on Android we first need to get an auth token from google via a client call. Leverage the high-level LEADTOOLS OCR toolkit to rapidly develop robust, scalable, and high-performance recognition and document processing applications that extract text from scanned documents and convert images to text-searchable formats. 0 Introduction. When backed by their Machine Vision infrastructure, this API enables developer to give their applications vision capability. If you want to learn how to code, taking your first steps into this huge universe might seem like a daunting, if not intimidating task. The rest of the Barcode sample classes. High performance, royalty-free C#. Speak a voice memo on the go and have it automatically transcribed. 1: Customize the color scheme, add subtitles and more Use variables and arithmetic expressions with videos Add conditional expressions to video transformations Concatenate your videos using custom transitions More product updates. I used ASPRISE OCR java library in this. You can vote up the examples you like and your votes will be used in our system to generate more good examples. Access Google Sites with a free Google account (for personal use) or G Suite account (for business use). Analyse images and extract the data you need with the Computer Vision API from Microsoft Azure. Windows 8 Microsoft OCR Library Sample in C#, C++, JavaScript for Visual Studio 2013. You can use it directly from the overview page or adjust parameters using the API Explorer in the Quickstart. In this section, examples are shown for the following technologies. Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. In my previous article, we set up of Google Cloud Vision account, setup of credentials required to access the API. Basically, the region (contour) in the input image is normalized to a fixed size, while retaining the centroid and aspect ratio, in order to extract a feature vector based on gradient orientations along the chain-code of. If you like the video please like share and subscribe! Visit my blog:. - [Instructor] So to understand more about…an example of a machine learning service…that Google Cloud is offering,…we're going to look at the Cloud Vision API. On this wiki, we provide examples for all those languages, which are available from the Examples section on Tutorial page. Documentation and Python Code. Point your camera at an item. Android Material Design Spinner DropDown Example - Viral Android – Tutorials, Examples, UX/UI Design More information Find this Pin and more on Android by Bowon Luang. Ocr is the library responsible for providing the optical character recognition feature in your Windows Phone 8. Whether you need the power of cloud-based processing, the real-time capabilities of mobile-optimized on-device models, or the. This project is been developed on Linux (Ubuntu 9. That makes it possible to test your Captchas' durability, among other uses. This will take you to a. The JSON includes page, block, paragraph, word, and break information. NET MVC in a step by step way. 1 and Windows 8. We lunched this app on Android market. Therefore lets first define a class to get an OAuth token. Learn about all our projects. NET OCR recognition on Windows 32bit and 64bit. Java Package. This tutorial shows how to make an HTTP request to the Cloud Vision API from a Java program. Google Vision API - Examples and Python utilities. less more We have developed a set of python based data extraction algorithms for document processing. 04/17/2019; 18 minutes to read +4; In this article. In this tutorial, we will learn how to do Optical Character Recognition with a Camera in Android using Vision API. Today's digital document libraries need to be searchable and office workers need to be able to index and pull data from within these documents. Windows 8 Microsoft OCR Library Sample in C#, C++, JavaScript for Visual Studio 2013. Hopefully, the source code is also quite readable. NET, C++ and IronPython. Several models are accessible using one REST API interface…. In fact the state of the art of OCR "in the wild" (using images off the street, for example) is far from 100%. All Answers (5) The tesseract algorithm is available on Google Code, and is one of the best open source OCR out there. A Guide on OCR with tesseract 3. Once detected, the recognizer then determines the actual text in each block and segments it into lines and words. Example of using OCR and Image Automation Suggest Edits Since OCR and Image automation usually go hand in hand due to the difficulty of automating in virtual environments, we created an automation that retrieves an employee’s email and the invoice number from a scanned invoice. If for example you have a box containing your character, and the top left pixel is white, you know it can't be. less more We have developed a set of python based data extraction algorithms for document processing. And I have covered this problem in the following code. Project Maintainer on Angular-UI Grid. But this time it had a few new features like OCR and scanning of Aztec barcodes. 1 and Windows 8. Subscribe Now Filed Under: Deep Learning , how-to , OCR , OpenCV 3 , Text Recognition , Tools , Tutorial Tagged With: deep learning , ocr , OpenCV 3 , tesseract , tutorial. …And what this does is classification,…and it applies image labeling. To rapidly experiment with the Computer Vision API, try the Open API testing console. tesseract-ocr. …So we're going to go to the console…and run the tutorial on this. This example shows how to use the ocr function from the Computer Vision Toolbox™ to perform Optical Character Recognition. Fortunately many CAPTCHA’s are weak and can be solved by cleaning the image and using simple OCR. Top 5 Optical Character Recognition (OCR) Apps And Software When producing written work there are now more ways than ever to cut down on the amount we actually need to type. This example lets you submit an image URL for analysis or processing. Google has many special features to help you find exactly what you're looking for. In your project-level build. Launch Free OCR to Word and click “Open…” to select the image file containing text (The program supports image file formats like PNG, PSD, ICO, JPG, JPEG, TIFF, etc. The Mobile Vision API is now a part of ML Kit. Fortunately there is Java 'wrapper' available named Tess4J. Android Play Services SDK level 26 or greater. To learn more about the main differentiators between a good data scientist and a rockstar data scientist, I kept. Following standard approaches, we used word-level accuracy, meaning that the entire proper word should be. What is OCR. 04/17/2019; 18 minutes to read +4; In this article. 参考:AndroidでCloudVisionを使った際のGoogle Developer Consoleの登録の流れ. js was used for OCR (Optical Character Recognition). Text Recognition API Overview Text recognition is the process of detecting text in images and video streams and recognizing the text contained therein. Then recently in June 2016 these issues were resolved and Mobile Vision APIs were re-launched. Star On GitHub If you ever tried to create an OCR app for Android you must have stumbled upon the OCR library by Google Tesseract. OCR anything. Stackoverflow. Grab a photo of a poster, receipt or document and easily organize or find it later in search. FreeOCR API 5. Filing a Patient Safety Confidentiality Complaint Read about the Patient Safety Confidentiality Act and how to file a complaint online or in writing. ) into editable document formats Word, XML, searchable PDF, etc. Or learn more about Mobile Vision API. Google has opened their Cloud Vision API. Tesseract OCR is a free OCR engine sponsored by Google. This is a sample project demonstrating how OCR (optical character recognition) can be implemented using Google Vision library. Today's digital document libraries need to be searchable and office workers need to be able to index and pull data from within these documents. This page provides Java code examples for com. Topics include network systems, database, data communications, legal issues such as the Data Protection Act, measurement and control, the OSI model along. ) into editable document formats Word, XML, searchable PDF, etc. java内に貼り付け ⑤ Run. The google vision library is a part of play services and can be added to your project's build. …So we're going to go to the console…and run the tutorial on this. You’re invited to check out out all the different learning resources in the guide: problems and projects, former Google interview questions, online courses, education sites, videos, and more. B4A Library OCR - Optical Character Recognition with Google Play Services (Android Vision) - Johan Schoeman Aug 28, 2016 (30 likes) tags: OCR. C# code to get text from Image or PDF via OCR in Aquaforest OCR SDK. Windows 8 Microsoft OCR Library Sample in C#, C++, JavaScript for Visual Studio 2013. It includes multiple functions, including optical character recognition (OCR), as well as face, emotion, logo, inappropriate content and object detection. Developers can access code to import libraries, API to recognize an image, and run application. And I have covered this problem in the following code. NET, C++ and IronPython. Explore a Java Swing application that uses Computer Vision to perform optical character recognition (OCR); create smart-cropped thumbnails; plus detect, categorize, tag, and describe visual features, including faces, in an image. When you access the URL or phone number written in magazines or brochures, it's really hard to input the URL or phone number by the keyboard. If you were looking for a way to solve some of your doubts about Android, we explain through this video tutorial and in a practical way those contents that can help you to understand and understand more easily everything you did not know about this operating. In this post I would like to show how to easily run image recognition in the cloud with a little help of powerful deep learning models. In order to function, the opt-out add-on must be able to load and execute properly on your browser. Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents. The script itself can be obtained from Github or from the PPA. J4L Java wrapper for Tesseract OCR engine 3. vision package are designed to simplify using OpenCV vision processing code from a robot program. Or learn more about Mobile Vision API. Reading Text from Images Using Java. Next, we'll develop a simple Python script to load an image, binarize it, and pass it through the Tesseract OCR system. This sample requires Java 8. How to fix Failed to load Main-Class manifest attribute from jar. It can use either tesseract or cuneiform as the OCR engine. 先日、Google Cloud Platform のVision API を使用してOCR を試したんですが、思いのほか簡単にできたのでその使い方についてメモメモ。 ※なお、この記事は 2018年5月13日 時点の内容です。最新の情報とは異なる可能性がありますのでご注意ください。. …So here we are. I used both Google Docs and TEXT_DETECTION of Google Vision API to read text (in Vietnamse) from a picture. Or use our simple cross-platform apps for text extraction. The tool tip associated with the tab appears.