tesseract.js
Pure Javascript OCR for more than 100 Languages 📖🎉🖥
💡 Why It Matters
Tesseract.js addresses the need for efficient optical character recognition (OCR) directly in the browser, allowing ML/AI teams to implement text recognition without relying on server-side processing. This open source tool for engineering teams supports over 100 languages, making it versatile for various applications. With a steady growth of 381 stars over 96 days, it demonstrates stable community interest and indicates that it is a production-ready solution. However, it may not be the right choice for projects requiring high-volume, real-time processing or those with strict performance constraints, as browser-based execution can introduce latency.
🎯 When to Use
Tesseract.js is a strong choice when teams need a self-hosted option for OCR that can be integrated into web applications. Consider alternatives if your project demands high-speed processing or advanced features that may not be supported by this library.
👥 Team Fit & Use Cases
This library is particularly useful for ML/AI engineers and front-end developers who need to implement OCR capabilities in web applications. It is often included in products such as document scanning apps, data extraction tools, and any system that requires text recognition from images.
🎭 Best For
🏷️ Topics & Ecosystem
📊 Activity
Latest commit: 2026-02-14. Over the past 97 days, this repository gained 381 stars (+1.0% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.