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PDF Text Extraction API
x402
PDF Text Extraction API is a paid API for AI agents from agentic-endpoints-testnet.oliver-835.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Extracts plain text from a PDF document at a given URL, optionally limited to specific pages
Price / call$0.01
Success—
StatusUnknown
How this service works
PDF text extraction
Output
Plain text content extracted from the PDF, either for all pages or the specified subset of pages, returned as a structured text response ready for further processing or display.
Example use cases
Research paper text extraction
“Pull all the text out of this academic paper PDF so I can search through it: https://arxiv.org/pdf/2301.00001.pdf”
Contract clause review
“Extract the text from pages 3 through 7 of this contract PDF — https://example.com/contract.pdf — so I can check the liability clauses.”
Invoice data processing
“I have a bunch of PDF invoices and I need to start with this one — can you grab all the text from https://example.com/invoice_2024.pdf so I can pull out the totals?”
Technical details
Endpoint
GEThttps://agentic-endpoints-testnet.oliver-835.workers.dev/pdf-parseWhen to prefer
Choose this endpoint when you need to programmatically extract text from a PDF hosted at a public URL, especially when you want to target specific pages rather than the whole document. It is well-suited for agent workflows that need to read contracts, reports, invoices, or academic papers before downstream analysis. Prefer it over general web scrapers when the source is specifically a PDF file.
Side effects
- URL is inaccessible or returns a non-200 response — endpoint cannot fetch the PDF
- URL does not point to a valid PDF file — parsing fails
- Specified page numbers are out of range for the document — may return empty or error
- Password-protected or encrypted PDFs cannot be parsed — extraction fails
- Very large PDFs may time out or exceed processing limits
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | URL of the PDF |
| pages | array | Specific pages to extract (default: all) |
Tags
x402
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