Best of JS • Tesseract.js

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 a webassembly port of the Tesseract OCR Engine. It works in the browser using webpack, esm, 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 { createWorker } from 'tesseract.js';

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

When recognizing multiple images, users should create a worker once, run worker.recognize for each image, and then run worker.terminate() once at the end (rather than running the above snippet for every image).

Installation

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

CDN

<!-- v5 -->
<script src='https://cdn.jsdelivr.net/npm/tesseract.js@5/dist/tesseract.min.js'></script>

After including the script the Tesseract variable will be globally available and a worker can be created using Tesseract.createWorker.

Alternatively, an ESM build (used with import syntax) can be found at https://cdn.jsdelivr.net/npm/tesseract.js@5/dist/tesseract.esm.min.js.

Node.js

Requires Node.js v14 or higher

# For latest version
npm install tesseract.js
yarn add tesseract.js

# For old versions
npm install tesseract.js@3.0.3
yarn add tesseract.js@3.0.3

Documentation

Community Projects and Examples

The following are examples and projects built by the community using Tesseract.js. Officially supported examples are found in the examples directory.

Projects
- Scribe OCR: web application for scanning documents (images and PDFs)
  - Site at scribeocr.com, repo at github.com/scribeocr/scribeocr
- Chrome Extension (with Manifest V3): https://github.com/Tshetrim/Image-To-Text-OCR-extension-for-ChatGPT
Examples
- Converting PDF to text: https://github.com/racosa/pdf2text-ocr
- Use blocks output to generate granular data [word/symbol level]: https://github.com/Kishlay-notabot/tesseract-bbox-examples
- Electron: https://github.com/Balearica/tesseract.js-electron
- Typescript: https://github.com/Balearica/tesseract.js-typescript

If you have a project or example repo that uses Tesseract.js, feel free to add it to this list using a pull request. Examples submitted should be well documented such that new users can run them; projects should be functional and actively maintained.

Major changes in v5

Version 5 changes are documented in this issue. Highlights are below.

Significantly smaller files by default (54% smaller for English, 73% smaller for Chinese)
- This results in a ~50% reduction in runtime for first-time users (who do not have the files cached yet)
Significantly lower memory usage
Compatible with iOS 17 (using default settings)
Breaking changes:
- createWorker arguments changed
  - Setting non-default language and OEM now happens in createWorker
    - E.g. createWorker("chi_sim", 1)
- worker.initialize and worker.loadLanguage functions now do nothing and can be deleted from code
- See this issue for full list

Upgrading from v2 to v5? See this guide.

Major changes in v4

Version 4 includes many new features and bug fixes--see this issue for a full list. Several highlights are below.

Added rotation preprocessing options (including auto-rotate) for significantly better accuracy
Processed images (rotated, grayscale, binary) can now be retrieved
Improved support for parallel processing (schedulers)
Breaking changes:
- createWorker is now async
- getPDF function replaced by pdf recognize option

Major changes in v3

Significantly faster performance
- Runtime reduction of 84% for Browser and 96% for Node.js when recognizing the example images
Upgrade to Tesseract v5.1.0 (using emscripten 3.1.18)
Added SIMD-enabled build for supported devices
Added support:
- Node.js version 18
Removed support:
- ASM.js version, any other old versions of Tesseract.js-core (<3.0.0)
- Node.js versions 10 and 12

Contributing

Development

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/basic-efficient.html in your favorite browser. It will automatically rebuild tesseract.min.js and worker.min.js when you change files in the src folder.

Online Setup with a single Click

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.

Building Static Files

To build the compiled static files just execute the following:

npm run build

This will output the files into the dist directory.

Contributors

Code Contributors

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

Financial Contributors

Become a financial contributor and help us sustain our community. [Contribute]

Individuals

Organizations

Support this project with your organization. Your logo will show up here with a link to your website. [Contribute]

import { createWorker } from 'tesseract.js'; (async () => { const worker = await createWorker('eng'); const ret = await worker.recognize('https://tesseract.projectnaptha.com/img/eng_bw.png'); console.log(ret.data.text); await worker.terminate(); })();

# 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