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FreshProof PDF to Markdown Converter
x402
FreshProof PDF to Markdown Converter is a paid API for AI agents from freshproof-api-mainnet.up.railway.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Converts a public text-based PDF URL into page-referenced Markdown with document metadata, page boundaries, retrieval evidence, and a content hash
Price / call$0.02
Success—
StatusUnknown
How this service works
Convert a public text-based PDF into page-referenced Markdown with document metadata, page boundaries, retrieval evidence, and a content hash for AI agents. OCR is not supported.
Output
Returns page-referenced Markdown content of the PDF, including document metadata (title, author, page count), explicit page boundary markers, retrieval evidence (source URL, timestamp, access details), and a deterministic content hash for verification. OCR is not performed — only text-layer PDFs are supported.
Example use cases
Research paper ingestion for RAG pipeline
“I need to feed this academic paper into my RAG system — can you convert https://arxiv.org/pdf/2401.12345.pdf to markdown with page references, up to 50 pages, so I can chunk it properly?”
Government document content extraction
“Pull the text out of this public government PDF at https://regulations.gov/docs/rule-2024-001.pdf and give it to me as markdown with page boundaries — just the first 20 pages.”
Verifiable PDF snapshot for compliance audit
“Convert https://sec.gov/filings/10k-2024.pdf to markdown and make sure I get the content hash and retrieval evidence so I can prove what the document said at the time I retrieved it.”
Technical details
Endpoint
POSThttps://freshproof-api-mainnet.up.railway.app/v1/pdf-to-markdownWhen to prefer
Choose this endpoint when you need structured, page-referenced Markdown from a publicly accessible text-layer PDF, especially when retrieval provenance and a content hash are required for auditability or AI grounding. It is ideal for RAG pipelines, compliance workflows, or any agent task that needs verifiable PDF content. Prefer it over generic PDF parsers when evidence metadata and deterministic hashing matter. Do not use it for scanned PDFs requiring OCR, private/authenticated PDFs, or non-PDF documents (use the sibling HTML/web endpoint for those).
Side effects
- PDF requires OCR (scanned/image-based) — not supported, returns error
- URL is not publicly accessible or requires authentication — fails to retrieve
- PDF exceeds maxPages limit — only up to 50 pages processed
- URL does not point to a valid PDF — returns parsing error
- Network timeout or upstream PDF server unavailable — returns retrieval error
- PDF is encrypted or password-protected — conversion fails
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | |
| options | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"pages": [
{
"markdown": "Dummy PDF file",
"pageNumber": 1,
"characterCount": 14
}
],
"source": {
"finalUrl": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
"statusCode": 200,
"contentType": "application/pdf",
"retrievedAt": "2026-08-03T08:00:00.000Z",
"requestedUrl": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
"redirectChain": []
},
"document": {
"title": "Dummy PDF file",
"pageCount": 1,
"processedPageCount": 1
},
"markdown": "# Page 1\n\nDummy PDF file",
"warnings": [
"TABLE_STRUCTURE_NOT_GUARANTEED"
],
"truncated": false,
"contentHash": "dddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddd"
},
"success": true
}
}Tags
x402
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