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.
How to make a PDF readable by AI
Convert the PDF to Markdown first, then hand that Markdown to the assistant. The bridge is deliberately simple: PDF → clean Markdown → paste or upload it as context, or feed it into a downstream tool. Markdown is plain text with structure, so the model receives headings, lists, real tables and formulas instead of layout noise, and spends far fewer tokens on the same document.
Being clear about the boundary: pdf2md.dev converts and structures the document. It does not chat with your PDF, summarize it, answer questions about it, or store it in a knowledge base. It prepares the input; the assistant you already use does the thinking.
I just want the Markdown
Drop the PDF in the converter, then copy the result or download a .md file and paste it into ChatGPT, Claude or Gemini.
I need the text out of a document
What actually happens to a PDF, why raw copy-paste loses reading order, and how scans are handled with OCR.
PDF text extraction, explained →I am building something
The developer path: convert over the API or hosted MCP, chunk the Markdown, embed it and retrieve it in your own pipeline.
PDF to Markdown for RAG →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.
Structure survives
Headings, lists and real tables stay intact instead of collapsing into a wall of text.
Fewer tokens
Clean plain text is far cheaper to send than raw PDF dumps or HTML, so you fit more document in the same context.
Models read it natively
Markdown is the lingua franca of LLMs; ChatGPT and Claude parse it without coaching.
Scans become text
OCR, including Cyrillic, turns image-only PDFs into selectable Markdown the model can actually read.
Formulas kept
Mathematical notation is preserved rather than flattened into garbled characters.
Links & footnotes
Hyperlinks and footnotes carry over as Markdown links, not dropped or flattened into plain text.
Add a PDF to ChatGPT or Claude in 3 steps
No account needed. Convert in the browser, copy the Markdown, paste it into your assistant.
Convert the PDF
Drag a PDF into the Chrome extension or the web app, pick a file, or paste a direct PDF URL. Scanned pages are OCR'd automatically.
Copy the Markdown
When the job is ready, preview it, copy it to your clipboard, or download a .md file. Choose embedded images or clean placeholders.
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. Building automation? Skip the copy-paste and call the REST API or hosted MCP.
Convert without leaving the chat
Two ways to make PDF conversion part of ChatGPT: use our ready-made GPT, or wire the tool into your own Custom GPT.
Official PDF to Markdown GPT
Our published GPT answers questions about the tool, walks you through conversions, and helps you turn PDFs into clean, LLM-ready Markdown – right in the chat.
Build your own Custom GPT
Import our ready-made action spec into a ChatGPT Custom GPT, and your GPT can convert PDFs to Markdown as a built-in tool – no code, just an OpenAPI import.
No sign-up to convert. Your files stay yours.
Free tier limits
We convert up to the time budget and return what we managed – the rest is truncated. Paid tiers raise every limit. Compare plans →
Privacy by default
Building an agent or integration?
Beyond copy-paste, the same converter is a REST API and a hosted MCP endpoint, with machine-readable discovery so agents can find and use it.
Common questions
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. For pipelines, see PDF to Markdown for RAG.
Does it 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. You can also use our GPT or wire conversion into a Custom GPT.
Does it chat with my PDF or summarize it?
No. This is a converter, not an AI reader. It turns the PDF into clean Markdown; the summarizing, question answering and chatting happen in whichever assistant you paste that Markdown into. There is no built-in chat, no summarization and no knowledge base here.
Is my document used to train AI models?
No. Files are processed to produce your Markdown and auto-deleted after the retention window. Document content is not used for advertising or model training.
Does it handle scanned PDFs and other languages?
Yes. Image-only and scanned PDFs are OCR'd into selectable Markdown, including Cyrillic and mixed-language documents. You can force OCR when a PDF has a bad text layer. See converting scanned PDFs to Markdown for the full walkthrough.
Is it really free?
Yes. The free tier gives 3 slots, 10 MB files, a 15-minute time budget and 1-hour retention – anonymous in the browser, no card. A free Google account additionally enables an API key and hosted MCP for automation.
Can AI agents and crawlers discover this tool?
Yes. The site publishes a machine-readable summary at /llms.txt, a developer hub with a REST API and hosted MCP, structured data on its pages, and allows major AI crawlers in robots.txt.