PDF to Markdown

PDF to Markdown for AI & LLMs

Feed PDFs to ChatGPT, Claude, and RAG pipelines as clean, token-efficient Markdown — tables and formulas intact, scans OCR'd, no sign-up.

Why Markdown beats raw PDF for LLMs

PDFs are built for printing, not for prompting. Copy-paste from a PDF drops structure, mangles tables, and drags binary noise into your context window. Markdown fixes that:

Add a PDF to ChatGPT or Claude in 3 steps

  1. Convert the PDF

    Drag a PDF into the extension, pick a file, or paste a direct PDF URL. Scanned pages are OCR'd automatically.
  2. Copy the Markdown

    When the job is ready, copy it to your clipboard or download a .md file. Choose embedded images or clean placeholders.
  3. Paste it into your assistant

    Drop the Markdown into ChatGPT, Claude, Gemini, or your RAG/agent pipeline as structured context.

Tip: for long documents, use placeholder image mode to keep the Markdown small and token-light.

Use it inside ChatGPT

Prefer to stay in ChatGPT? Our official PDF to Markdown GPT answers questions about the tool, walks you through conversions, and helps you turn PDFs into clean, LLM-ready Markdown — right in the chat.

For developers & AI agents

Building an agent or integration? The product exposes a machine-readable summary so tools can discover what it does:

FAQ

Why convert a PDF to Markdown for an LLM?
Markdown is plain text with structure: headings, lists, and real tables survive, there's no binary or layout noise, and it uses far fewer tokens than raw PDF text or HTML — cleaner answers, lower cost.
Does PDF to Markdown work with ChatGPT and Claude?
Yes. The output is standard Markdown, so you can paste it into ChatGPT, Claude, Gemini, or any RAG/agent pipeline — no special format required.
Is my document used to train AI models?
No. Files are processed to produce your Markdown and auto-deleted after about an hour. Document content is not used for advertising or model training.
Can AI agents and crawlers discover this tool?
Yes. The site publishes a machine-readable summary at /llms.txt, structured data on its pages, and allows major AI crawlers in robots.txt.
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