Tesseract.js is a javascript library that gets words in almost any language out of images. (Demo)

Image Recognition

Video Real-time Recognition

Tesseract.js wraps an emscripten port of the Tesseract OCR Engine. It works in the browser using webpack or plain script tags with a CDN and on the server with Node.js. After you install it, using it is as simple as:

import Tesseract from 'tesseract.js';

Tesseract.recognize(
  'https://tesseract.projectnaptha.com/img/eng_bw.png',
  'eng',
  { logger: m => console.log(m) }
).then(({ data: { text } }) => {
  console.log(text);
})

Or more imperative

import { createWorker } from 'tesseract.js';

const worker = createWorker({
  logger: m => console.log(m)
});

(async () => {
  await worker.load();
  await worker.loadLanguage('eng');
  await worker.initialize('eng');
  const { data: { text } } = await worker.recognize('https://tesseract.projectnaptha.com/img/eng_bw.png');
  console.log(text);
  await worker.terminate();
})();

Check out the docs for a full explanation of the API.

• Upgrade to tesseract v4.1.1 (using emscripten 1.39.10 upstream)
• Support multiple languages at the same time, eg: eng+chi_tra for English and Traditional Chinese
• Supported image formats: png, jpg, bmp, pbm
• Support WebAssembly (fallback to ASM.js when browser doesn't support)
• Support Typescript

Tesseract.js works with a <script> tag via local copy or CDN, with webpack via npm and on Node.js with npm/yarn.

<!-- v2 -->
<script src='https://unpkg.com/[email protected]/dist/tesseract.min.js'></script>

<!-- v1 -->
<script src='https://unpkg.com/[email protected]/src/index.js'></script>

After including the script the Tesseract variable will be globally available.

Tesseract.js currently requires Node.js v6.8.0 or higher

# For v2
npm install tesseract.js
yarn add tesseract.js

# For v1
npm install tesseract.js@1
yarn add tesseract.js@1

• Examples
• Image Format
• API
• Local Installation
• FAQ

• Offline Version: https://github.com/jeromewu/tesseract.js-offline
• Electron Version: https://github.com/jeromewu/tesseract.js-electron
• Custom Traineddata: https://github.com/jeromewu/tesseract.js-custom-traineddata
• Chrome Extension #1: https://github.com/jeromewu/tesseract.js-chrome-extension
• Chrome Extension #2: https://github.com/fxnoob/image-to-text
• Firefox Extension: https://github.com/gnonio/korporize
• With Vue: https://github.com/jeromewu/tesseract.js-vue-app
• With Angular: https://github.com/jeromewu/tesseract.js-angular-app
• With React: https://github.com/jeromewu/tesseract.js-react-app
• Typescript: https://github.com/jeromewu/tesseract.js-typescript
• Video Real-time Recognition: https://github.com/jeromewu/tesseract.js-video

To run a development copy of Tesseract.js do the following:

# First we clone the repository
git clone https://github.com/naptha/tesseract.js.git
cd tesseract.js

# Then we install the dependencies
npm install

# And finally we start the development server
npm start

The development server will be available at https://localhost:3000/examples/browser/demo.html in your favorite browser. It will automatically rebuild tesseract.dev.js and worker.dev.js when you change files in the src folder.

You can use Gitpod(A free online VS Code like IDE) for contributing. With a single click it will launch a ready to code workspace with the build & start scripts already in process and within a few seconds it will spin up the dev server so that you can start contributing straight away without wasting any time.

To build the compiled static files just execute the following:

npm run build

This will output the files into the dist directory.

This project exists thanks to all the people who contribute. [Contribute].

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