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PDF to Markdown
PDF to clean, LLM-ready Markdown for humans & AI agents
Drop a PDF and get clean, LLM-ready Markdown: real tables, formulas as LaTeX, and OCR, with reading order intact. The same engine is a hosted REST API and an MCP endpoint, so AI agents and RAG pipelines convert PDFs as a built-in tool. It runs its own engines (MinerU + Docling), not an LLM wrapper. Free to start in the browser; also a Chrome extension and a ChatGPT Custom GPT.
Hey Product Hunt 👋
I'm Dmitry, an indie maker with a background in large-scale systems. I build small, focused tools that do one thing well.
PDFs are everywhere, but they're painful the moment you want to feed one to an LLM or a RAG pipeline: copy-paste drops the structure, mangles tables, and turns formulas into garbage. The good tools are either heavy self-hosted libraries or pricey per-page APIs.
So I built pdf2md.dev: PDF in, clean LLM-ready Markdown out. Real Markdown tables (not screenshots), formulas kept as LaTeX, OCR for scanned pages, reading order intact.
What makes it more than "another converter":
🔌 A hosted REST API and a hosted MCP endpoint, so your agents can convert PDFs as a built-in tool
⚙️ It runs its own engines (open-source MinerU + Docling), not an LLM wrapper
🧩 Also a free web app (no sign-up), a Chrome extension and a ChatGPT Custom GPT, all on one engine
It's free to start in the browser, and files auto-delete (never used to train models).
I'd love your honest feedback, especially from folks doing RAG or agent workflows: what breaks, what's missing, what would make it your default? Try it on a gnarly PDF and tell me how it does 🙏
Thanks for checking it out!
Thanks for sharing! Quick question: how well does it handle complex PDFs with mixed tables, formulas, and multi-column layouts?
About PDF to Markdown on Product Hunt
“PDF to clean, LLM-ready Markdown for humans & AI agents”
PDF to Markdown was submitted on Product Hunt and earned 18 upvotes and 8 comments, placing #25 on the daily leaderboard. Drop a PDF and get clean, LLM-ready Markdown: real tables, formulas as LaTeX, and OCR, with reading order intact. The same engine is a hosted REST API and an MCP endpoint, so AI agents and RAG pipelines convert PDFs as a built-in tool. It runs its own engines (MinerU + Docling), not an LLM wrapper. Free to start in the browser; also a Chrome extension and a ChatGPT Custom GPT.
PDF to Markdown was featured in Chrome Extensions (52.7k followers), Productivity (655.7k followers) and Developer Tools (515.4k followers) on Product Hunt. Together, these topics include over 233.4k products, making this a competitive space to launch in.
Who hunted PDF to Markdown?
PDF to Markdown was hunted by Dmitry Petrakov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Dmitry Petrakov