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Machina Agent Services – PDF Large Document Extractor
x402
Machina Agent Services – PDF Large Document Extractor is a paid API for AI agents from mach402.dev, paid per call via x402, $0.18/call, status unknown (last checked 2026-10-22).
Extracts full text content from large PDF documents (up to 200 pages) and returns structured Markdown along with page and word counts
Price / call$0.18
Success—
StatusUnknown
How this service works
x402-powered API services for AI agents
Output
Returns a JSON object containing: 'markdown' (the full extracted document text formatted as Markdown), 'page_count' (total number of pages processed), and 'word_count' (total word count of the extracted content).
Example use cases
Annual report content extraction
“I have a 150-page annual report PDF — can you pull out all the text as markdown so I can analyze the financials and key sections?”
Academic thesis text extraction
“Extract the full text from this 180-page PhD thesis PDF and convert it to markdown for me, including the page and word count.”
Legal contract bulk parsing
“I need to extract all the content from this lengthy legal contract PDF — it's around 90 pages — and get it back as structured markdown text.”
Technical details
Endpoint
POSThttps://mach402.dev/pdf/extract/large?utm_source=zero.xyzWhen to prefer
Choose this endpoint when dealing with large PDFs up to 200 pages that need full-document text extraction into Markdown. It is specifically optimized for large documents (as opposed to smaller/standard PDF extraction endpoints on the same service). Prefer this over general-purpose PDF tools when you need structured Markdown output with metadata like page and word counts, and when your workflow supports x402 micropayment authentication.
Side effects
- PDF exceeds 200-page limit — request rejected or truncated
- Malformed or corrupted PDF bytes — parsing error returned
- Non-PDF binary content submitted — content-type mismatch error
- Payment not completed via x402 protocol — 402 Payment Required returned
- Scanned/image-only PDF with no embedded text — empty or minimal markdown output
- Request timeout for extremely large or complex documents
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"markdown": "# Title\n\nContent...",
"page_count": 120,
"word_count": 45000
}
}Tags
x402
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