mindee/doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
1 release in the last 90 days, the latest 68 days ago, with 84 contributors on GitHub.
Gained 44% more stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a deep learning-powered Python library for end-to-end optical character recognition on documents and images.
- Delivers seamless integration of text detection and recognition with support for multiple architectures and pretrained models.
- Use for extracting structured text from PDFs and scanned document images in automated data entry workflows.
- Use for building custom document information extraction pipelines with multi-class key information extraction capabilities.
- Use for deploying OCR services via Docker or FastAPI for scalable, GPU-accelerated document text recognition APIs.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Optical Character Recognition made seamless & accessible to anyone, powered by PyTorch
End-to-End OCR is achieved in docTR using a two-stage approach: text detection (localizing words), then text recognition (identify all characters in the word). As such, you can select the architecture used for text detection, and the one for text recognition from the list of available implementations.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
689+28
Open issues
19-5
Compared with peers in Deep Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| onnx/onnx | 21.6K | — | 63 | 31 days ago |
| mlc-ai/web-llm | 19.3K | — | 59 | 16 days ago |
| lukas-blecher/LaTeX-OCR | 16.6K | — | 18 | — |
| milesial/Pytorch-UNet | 11.7K | — | 18 | — |
| mindee/doctr | 6.4K | — | 61 | 68 days ago |
| SharpAI/DeepCamera | 3.1K | — | 31 | 227 days ago |
| Category median | 16.6K | — | 31 | — |
Discover Repositories
Search across tracked repositories by name or description