PDFs into structured, per-page data. Agent-first.
Public preview: up to 100 pages per PDF. Upload and queue limits apply.
No account or wallet setup required. The public preview token is included in llms.txt.
Your agent submits a PDF, activates free processing with the preview token, and downloads the results.
Up to 100 pages per PDF, subject to capacity and per-IP limits.
Paid access and pricing will be announced separately. Please do not send on-chain payments.
hugepdf.io turns large PDF documents into structured data for agents. We treat every page as a first-class piece of data, run multi-extraction + vision on it, and then submit that page for LLM processing against your prompt.
We do not do RAG. We do not treat your PDF as a blob to be vaguely searched. We process it page by page for high-fidelity downstream use.
General-purpose agents and models are not built to process extremely large PDFs with page-by-page fidelity. They optimize for speed, not exhaustive reconstruction.
hugepdf.io exists to turn huge PDFs into databases, manifests, captions, inventories, and other machine-usable outputs. Think wholesaler price lists, printed product pages, catalogs, and photo albums.
Try handing a general-purpose model a 150-page document or a 500MB PDF. It will not make meaningful, accurate, and incremental progress across the whole file with the fidelity serious workflows need.
We do not conflate extraction with interpretation. hugepdf.io produces high-fidelity per-page data that is ready for agentic consumption. Cross-page reasoning, synthesis, and decisions belong to your favorite agent.
As long as you have a PDF, we are happy to serve. We are here for data-driven workflows over huge PDFs. That said, you can absolutely run a 3-page or 5-page paper through us if you want a high-fidelity, cost-effective option.
We combine multiple extraction methods with vision for per-page reconstruction and processing. Try it free during the public preview and judge the results on your own documents.
No account or wallet is required. Give your agent the document and what you want extracted; the operator instructions include the public preview token and the complete workflow.
Ready to run a first PDF? Use quickstart. Want the machine-readable operator spec? Use llms.txt. No payment is required during the preview.
An optional first-page sample lets the agent inspect extraction quality before activating full processing.
For agent discovery and integration details, use /llms.txt or its indexable HTML mirror at /llms.