A-TIER tool
Baidu Unlimited OCR — 3B local model parsing 100-page PDFs in one pass
100k ft — What is this?
Baidu Unlimited OCR — 3B local model parsing 100-page PDFs in one pass
50k ft — Why care?
Baidu's Unlimited OCR is a 3B-parameter, MIT-licensed model that reads whole documents (up to ~100 pages) in a single pass, preserving tables, headings, formulas and reading order. Runs locally, so it can replace a messy preprocessing stack in RAG and document-search pipelines.
10k ft — Key takeaways
• Local MIT-licensed model means private docs never leave your machine
• Whole-document OCR keeps cross-page structure that page chunking loses
5k ft — Tools & techniques
Unlimited OCR
OCR, RAG
1k ft — Deep-dive / try it
Baidu released Unlimited OCR, a compact AI model that processes entire 100-page PDFs in one pass. This innovation preserves layout, tables, and reading order perfectly while running locally and free under an MIT license. #BaiduAI #UnlimitedOCR #AIDocumentProcessing #OCRInnovation #LocalAI
Transcript excerpt
China just open-sourced a peanut-sized AI OCR model that passes entire 100-page PDFs in one shot. It's called Unlimited OCR, only 3 billion parameters, built by Baidu, the Google of China. While every other OCR tool chops the document into pages and loses the thread. This one reads the whole thing in a single pass. Dropping in a 40-page contract, it provides clean, structured text with every table, heading, and clause exactly where it should be. Feed it a scanned financial report, and it preserves formulas, reading order, and layout untouched. When building a RAG pipeline or document search tool, it eliminates the need for a messy pre-processing stack. Best part, it runs locally, so documents never leave the system. It's MIT licensed and free for commercial use. Follow for more.