Baidu open-sources Unlimited-OCR, a 3B model that reads 40-page documents in one pass
HankYeomans · x · 2026-07-24
A thread says Baidu has open-sourced Unlimited-OCR, an OCR model designed to read entire documents in one pass.
- The model has 3B parameters, with only 500M active at inference time.
- It can run 100% locally and uses a 32K context window.
- The goal is to preserve text, formulas, tables, and reading order across pages, instead of chopping documents page by page.
- The thread claims 93% accuracy on a standard benchmark, about 6 points above the baseline, and an error rate below 0.11 even beyond 40 pages.
Related event: Baidu Open-Sources Unlimited-OCR for Long Documents(3 posts)→
More from Models
- OpenAI ships GPT-6.1 Terra, but Claude Sonnet 5.5 beats it on Terminal-Bench 4.0 — imjustnewatai · 2026-10-27
- We Built a 506-Race Election Forecast, Then Had Claude, ChatGPT and Grok Call Every Close Race — justin_hart · 2026-10-27
- Chart: GPT-6.1 Terra beats Sol max on cost, and max variant outperforms Astra max — GabGarrett · 2026-10-27
- KOL defends B-tier rating for GPT-6.1 Sol, blames OpenAI's botched release naming — Angaisb_ · 2026-10-27
- php2shell exploit benchmark: only 2 of 5 frontier models can port the bug — xeophon · 2026-10-27
- Qwen Code v0.26.2-preview.0 adds session permission rules and experimental shared agent loop — qwen-code-review-bot · 2026-10-27