AI-ready OCR
PDF to Markdown OCR for AI and RAG
AI and RAG workflows need structure, not a wall of text. Start with OCR, then preserve headings, page boundaries, tables, and citations.
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Quick answer
PDF to Markdown OCR for AI and RAG: what to do first
AI and RAG workflows need structure, not a wall of text. Start with OCR, then preserve headings, page boundaries, tables, and citations.
OCR workflow
Why Markdown matters
Markdown keeps headings, bullets, code blocks, and tables readable for humans and easier for AI pipelines to chunk.
OCR workflow
OCR first, structure second
Recognize text, then clean page breaks, headings, table separators, and references before feeding documents to an LLM.
OCR workflow
Developer angle
This is where long-document OCR and models like Baidu Unlimited-OCR become interesting: the goal is parsing workflows, not just text recovery.
Search intent
Related OCR keywords covered here
FAQ
FAQ about Unlimited OCR
Is OCR enough for RAG?
OCR is only the first stage. Retrieval quality depends on layout cleanup, chunking, metadata, and evaluation.
Does this page use Baidu Unlimited-OCR?
The live browser tool uses client-side OCR. The Baidu page explains the model and production tradeoffs.
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