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Unlimited-OCR (open-sourced by Baidu) is a 3-billion-parameter OCR model with…

Brief

Baidu's Unlimited-OCR is an open-source OCR model that processes whole documents (40+ pages) in a single pass using a 32K context window. The 3B-parameter model (500M active at inference) preserves tables, formulas, and reading order, outputs clean Markdown, claims 93% benchmark accuracy, and shows rapid adoption (2.12M HF downloads).

Why it matters

Unlimited-OCR (open-sourced by Baidu) is a 3-billion-parameter OCR model with only 500 million active parameters during inference, a 32K context window, and can process entire documents (tested to 40+ pages) in one shot while running 100% locally and outputting structured Markdown.

Key details

  • Benchmarks and capabilities: Unlimited-OCR reports 93% accuracy on the standard benchmark (+6 points over the baseline), an error rate below 0.11 even past 40 pages, and multilingual support out of the box; it preserves tables, formulas, and reading order across pages.
  • Adoption and positioning: Unlimited-OCR had 2.12 million Hugging Face downloads last month and 14,600 GitHub stars; contrasted with cloud OCR services (Amazon Textract, Google Cloud Vision, Azure Document Intelligence) that charge per page, Unlimited-OCR runs locally for free.
Source evidence

Baidu just open-sourced an OCR model that reads entire 40-page documents in one shot.

It's called Unlimited-OCR. 3 billion parameters but only 500 million active during inference. Runs 100% locally on your machine.

Why this matters: traditional OCR tools chop documents page by page. Tables that span two pages break. Reading order gets lost. Cross-page context disappears.

Unlimited-OCR processes the whole document at once. 32K context window. Text, formulas, tables, reading order all preserved across pages.

Output comes out as clean structured Markdown.

→ 93% accuracy on the standard benchmark. +6 points over the baseline.
→ Error rate stays below 0.11 even past 40 pages.
→ Multilingual out of the box.
→ 2.12 million downloads on Hugging Face last month. 14,600 GitHub
stars.

For context: Amazon Textract, Google Cloud Vision, and Azure Document Intelligence all charge per page. This runs locally for free.

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