baidu/Unlimited-OCR
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing. observed · 2026-10-08
Health v2 · maintenance only
53/100
- Activity 87
- Release rhythm 35
- Longevity 8
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 124
- days_rel: n/a
- days_push: 83
- n_releases_24m: 0
Adoption not part of the score
26763 stars · 2797 forks observed · 2026-10-08
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Baidu's Unlimited-OCR is an open vision-language OCR model for one-shot long-horizon document parsing, extending DeepSeek-OCR. It provides inference via Hugging Face Transformers and vLLM on NVIDIA GPUs, with weights on Hugging Face and ModelScope.
Use cases
- extract text from long pdf documents
- parse scanned documents with a vision-language model
- run ocr on gpu with vllm
- convert document images to structured text
- batch document parsing for rag pipelines
When to choose
- you need ocr over very long or multi-page documents in one pass
- you want an open model deployable with transformers or vllm
- you need document parsing as input for downstream llm workflows
When to avoid
- you need lightweight cpu-only ocr like tesseract
- you need a hosted ocr api without gpu infrastructure
- you need handwriting or niche-language recognition without evaluation
Facets
library · maturity active
ocr machine-learning llm-inference pdf computer-vision deep-learning pdf python vision-language-model document-parsing long-context huggingface vllm natural-language-processing gpu linux
1 source
- readme: https://github.com/baidu/Unlimited-OCR · fetched 2026-10-08 · 5f77b9450d49
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| baidu/Unlimited-OCR | main | 53 |
For agents
markdown · JSON · MCP: product_card(name="baidu/Unlimited-OCR")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem