unlimited-ocr

OCR model that parses long documents and multi-page PDFs in one pass

Live demo ↗ Documentation ↗ Repository on GitHub ↗

Stars: 27.3k
License: MIT
Last commit: Oct 2026
Language: Python

Missed the latest GitHub check; these facts may be older.

Overview

Unlimited-OCR is a Baidu document-parsing vision-language model, building on DeepSeek-OCR, with weights on Hugging Face. The repo ships inference code for Transformers, vLLM and SGLang, the last exposing an OpenAI-compatible chat API. It handles single images and multi-page input, with PDFs converted to images first.

Who it is for: Engineers self-hosting OCR for scanned documents and PDFs on NVIDIA GPUs

Strengths

Multi-page parsing in one request, with 32768 max context length in the examples
Three inference paths: Transformers, vLLM (Docker images), and SGLang with OpenAI-compatible API
infer.py batch script launches SGLang and sends concurrent requests for image dirs or PDFs
MIT license; training supported through ms-swift

Weaknesses

Requires an NVIDIA GPU; examples tested only on CUDA 12.9 with Python 3.12
PDFs must be rasterized to images with PyMuPDF before parsing
SGLang setup needs a bundled dev wheel and custom logit processor flags
VRAM requirement is not stated in the README

What it needs

GPU required
Needs PyTorch 2.10.0, transformers 4.57.1, PyMuPDF, vLLM or SGLang (optional)
Models: baidu/Unlimited-OCR (safetensors)
port 10000

Head to head

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How to choose

Read the license: open weights are not always open for commercial use.
Check the hardware the model needs at the precision you plan to run.
See whether the repo ships inference code or only weights.

Health

Releases: Not checked
Top contributor: Not checked
Security advisories: Not checked
Package advisories: Not checked
OpenSSF Scorecard: Not checked

Not read for this project yet: each refresh reads the facts of a few projects. Bots and coding-agent accounts are left out of the commit counts. Not part of the score: how we check.

License in plain words

MIT Permissive

Use it at work: Yes
Change it and rebrand it: Yes
Sell it or host it for others: Yes

Your part: Keep the copyright and license notice in copies you ship.

A plain summary, not legal advice. Read the license on GitHub ↗ (opens in a new tab)

Where to run it

Vast.ai ↗ (opens in a new tab)Rent a GPU by the hour from a marketplace of hosts.

Referral links: if you sign up through one, we get a commission. They never change a rank.

#4 of 10 in Open models on Archestack, as of 15 Oct 2026.

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