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agent402.tools PDF Text Extractor
x402
agent402.tools PDF Text Extractor is a paid API for AI agents from agent402.tools, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Fetches a PDF from a public URL and extracts its full text content, page count, and document metadata
Price / call$0.01
Success—
StatusUnknown
How this service works
Fetch a PDF from a URL and extract its text content. Returns page count, document info, and the full text (up to 20MB PDFs).
Output
Returns the full extracted text content of the PDF, the total page count, and document metadata/info such as author, title, and creation date. Handles PDFs up to 20MB.
Example use cases
Example prompt
“Can you fetch the PDF at https://example.com/report.pdf and extract all the text from it so I can read through the contents?”
Technical details
Endpoint
POSThttps://agent402.tools/api/pdfWhen to prefer
Use this endpoint when you need to read or extract text from a PDF available at a public URL, especially when you want page count and document metadata alongside the full text content. Ideal for processing reports, research papers, or any document-formatted content hosted online up to 20MB.
Side effects
- URL is not publicly accessible or returns a non-200 response
- URL does not point to a valid PDF file
- PDF exceeds 20MB size limit
- PDF is password-protected or encrypted
- PDF contains only scanned images with no extractable text layer
- Network timeout when fetching large PDFs
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Public http(s) URL of a PDF |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://bitcoin.org/bitcoin.pdf",
"info": {
"title": null
},
"text": "Bitcoin: A Peer-to-Peer Electronic Cash System\n…",
"pages": 9,
"wordCount": 3604
}
}Tags
x402
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