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 (using emscripten 1.38.45)
• 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/tesseract.js@v2.0.0/dist/tesseract.min.js'></script>

<!-- v1 -->
<script src='https://unpkg.com/tesseract.js@1.0.19/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
• Custom Traineddata: https://github.com/jeromewu/tesseract.js-custom-traineddata
• Chrome Extension: https://github.com/jeromewu/tesseract.js-chrome-extension
• 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 http://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 also run the development server in Gitpod ( a free online IDE and dev environment for GitHub that will automate your dev setup ) with a single click.

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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