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ClinkAgent PDF to Text Extractor
x402
ClinkAgent PDF to Text Extractor is a paid API for AI agents from clinkagent.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-02).
Extracts plain text from any public PDF URL, returning the full text content, page count, and a scanned-document flag
Price / call$0.01
Success—
StatusUnknown
How this service works
Convert PDF to text for AI agents - pass any public PDF URL, get the full extracted plain text in one call. pdftotext / convertpdftotext / pdf to text converter / extract text from PDF / read a PDF / parse PDF documents, papers, SEC filings, reports, invoices, manuals. Up to 25MB and 500k chars, with page count and a likely_scanned flag (text-based PDFs only, no OCR). No API key, no account. ?url=<public PDF url>. Free live sample: /pdf/example.
Output
Returns the full extracted plain text of the PDF (up to 500,000 characters / 25MB), along with the total page count and a 'likely_scanned' boolean flag indicating whether the PDF appears to be a scanned image rather than text-based. Only works on text-based PDFs — no OCR is performed on scanned documents.
Example use cases
Extract SEC filing for analysis
“I need the full text from this SEC 10-K filing PDF at https://www.sec.gov/Archives/edgar/full-index/2024/QTR1/filing.pdf — can you extract all the text so I can run analysis on the financials?”
Parse academic research paper
“Can you grab the text content from this research paper PDF at https://arxiv.org/pdf/2401.12345.pdf? I want to read through the methodology section.”
Read invoice PDF for data entry
“Extract all the text from this invoice PDF at https://example.com/invoices/inv-2024-001.pdf so I can pull out the line items and totals.”
Technical details
Endpoint
GEThttps://clinkagent.com/pdf/text?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, no-auth, pay-per-call PDF text extraction from a public URL without setting up an API key or account. Ideal for text-based PDFs such as SEC filings, academic papers, reports, and invoices. If you also need to ask a natural language question about the PDF content, prefer the companion QA endpoint instead. Not suitable for scanned/image-only PDFs that require OCR.
Side effects
- PDF URL is not publicly accessible or returns a non-200 response
- PDF exceeds 25MB size limit
- PDF contains only scanned images with no embedded text (likely_scanned=true, minimal text returned)
- Extracted text exceeds 500k character limit
- Invalid or non-PDF URL provided
- Network timeout fetching the remote PDF
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://bitcoin.org/bitcoin.pdf",
"text": "Bitcoin: A Peer-to-Peer Electronic Cash System...",
"chars": 21228,
"pages": 9,
"truncated": false,
"likely_scanned": false
}
}Tags
x402
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