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x402 Web Tools – PDF Text Extractor
x402
x402 Web Tools – PDF Text Extractor is a paid API for AI agents from web.kagurazaka.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-29).
Extracts text content from a publicly accessible PDF URL, returning page-by-page text along with title, author, and page count metadata.
Price / call$0.003
Success—
StatusUnknown
How this service works
Extract the text of a PDF at a public URL, page by page, with its title, author and page count. Up to 10 MB; scanned PDFs without a text layer return little text.
Output
A JSON object containing the extracted text split by page (each with page number and text), the document title, total page count, number of pages returned, and total character count. Scanned PDFs without an embedded text layer will return minimal or empty text.
Example use cases
Research paper content extraction
“Pull the text out of this academic paper PDF at https://arxiv.org/pdf/2301.00001.pdf — I need the first 10 pages so I can summarize the findings.”
Legal document review
“Can you read this contract PDF at https://docs.example.com/agreement.pdf and give me all the text, up to 200 pages? I want to check the terms.”
Automated report ingestion
“Fetch the text from this quarterly report PDF at https://company.com/Q3-report.pdf, return up to 500000 characters, and tell me the title and author.”
Technical details
Endpoint
GEThttps://web.kagurazaka.dev/v1/pdf-text?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to extract readable text from a PDF hosted at a public URL, especially for digital PDFs with an embedded text layer. It is well-suited for documents up to 10 MB with configurable page and character limits. Prefer this over general web scrapers for PDF-specific content, and over OCR services for standard digital PDFs that already contain a text layer.
Side effects
- PDF exceeds 10 MB size limit — returns an error or truncated result
- Scanned PDF with no text layer returns little or no text
- URL is not publicly accessible or returns a non-200 status — fetch failure
- URL does not point to a valid PDF — parsing error
- max_chars or max_pages parameters out of allowed range (1000–500000 and 1–200 respectively)
- Network timeout fetching the remote PDF
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"chars": 14,
"pages": [
{
"page": 1,
"text": "Dummy PDF file"
}
],
"title": null,
"pages_total": 1,
"pages_returned": 1
}
}Tags
x402
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