جائزہ
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.
اہم خصوصیات
- Browser and Node.js
- WASM engine
- Language data
- Reusable workers
- Async API
ضروریات، انسٹالیشن اور فوری آغاز
استعمال
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.
ماڈل کی مطابقت اور استعمال کے مواقع
Uses Tesseract language data and a WebAssembly engine, not a vision-language model interface.
لائسنس اور خطرے سے متعلق نوٹس
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.
ریلیز اور دیکھ بھال
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.