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opencr
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Extract text from images, documents and scanned PDFs using OpenOCR - supports text detection, recognition, universal VLM recognition, and document parsing with layout analysis
When to use
- text detection
- text recognition
- end-to-end OCR
- universal VLM recognition
- document parsing with layout analysis
- formula recognition
- table recognition
- scanned PDF conversion
When not to use
- Text recognition accuracy depends on image quality
- Very small or heavily rotated text may reduce accuracy
- `server` mode requires PyTorch and is slower than `mobile` mode
- UniRec and Doc tasks use 0.1B parameter VLM, larger models may yield better results
- PDF processing converts pages to images internally, very large PDFs may use significant memory
- Complex handwritten text accuracy varies
- GPU recommended for best performance, especially for Doc and UniRec tasks
Skill page
Source