Overview
Tesseract.js offers browser or server-side OCR without replacing the underlying Tesseract recognition model. It explicitly does not accept PDFs directly. Choose it for JavaScript integration and image workloads, after testing target devices.
Key features
- Browser and Node.js
- WASM engine
- Language data
- Reusable workers
- Async API
Requirements, installation and quick start
Usage
How it works
A worker loads the WASM engine and language data, recognizes images, and can be reused across jobs. Business extraction remains separate.
Audience and requirements
JavaScript developers adding OCR. Compatible browser/Node.js and language assets.
Practical use cases
Screenshot text; reviewed form prefill; image batches.
Limitations and selection
No direct PDF support. Initialization and memory matter on mobile devices. Handwriting and tables require evaluation.
Related projects and selection
tesseract-ocr/tesseract：Upstream: this is the OCR engine wrapped by Tesseract.js.
JaidedAI/EasyOCR：Comparison: EasyOCR targets Python/PyTorch workflows; Tesseract.js targets JavaScript.
Source review
Editorial analysis of upstream sources, without runtime or benchmark testing. Proposed workflows are editorial suggestions.
Model compatibility and use cases
Uses Tesseract language data and a WebAssembly engine, not a vision-language model interface.
License and risk notes
The repository page identifies Apache-2.0. Read LICENSE; model weights and datasets may have separate terms.
Editorial source review 2026-09-09T05:00:00.950Z. README and live repository page verified; current stars/forks from GitHub HTML. Last-push metadata retained from 2026-09-05 discovery snapshot. No runtime benchmark. Integration proposals are editorial analysis.
Release and maintenance
Reviewed 2026-09-09. Counters come from repository pages; features are based on upstream documentation. See Releases in the source links. Editorial analysis of upstream sources, without runtime or benchmark testing. Proposed workflows are editorial suggestions.