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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 q7w9tnp09rjt5ccj.68r.lambda-web.us-east-1.on.aws, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-29).
Fetches a public PDF by URL and returns its text content page by page, 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 total page count, number of pages returned, total character count, the document title (if embedded), and an array of page objects each with a page number and extracted text string. Scanned PDFs without a text layer will return minimal text.
Example use cases
Research paper text extraction
“Pull the full text from this academic paper PDF at https://arxiv.org/pdf/2301.00001.pdf so I can summarize its findings — grab up to 100 pages.”
Legal document reading
“Extract all the readable text from the contract PDF at https://contracts.example.com/agreement.pdf, page by page, so I can review its clauses.”
Government report ingestion
“Fetch the text from https://data.gov/report2023.pdf — I need the title, author info, and the content of the first 30 pages to feed into my analysis pipeline.”
Technical details
Endpoint
GEThttps://q7w9tnp09rjt5ccj.68r.lambda-web.us-east-1.on.aws/v1/pdf-text?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a direct public HTTPS URL to a PDF and need to extract its text content page by page, along with document metadata. It is ideal for text-layer PDFs (not scanned images) up to 10 MB. Prefer this over general web scraping endpoints when the target is specifically a PDF file rather than an HTML page.
Side effects
- PDF exceeds 10 MB size limit — returns an error or truncated response
- Scanned PDF without a text layer — returns pages with little or no text
- URL is not publicly accessible or requires authentication — fetch fails
- Invalid or non-PDF URL — parsing error returned
- max_pages or max_chars out of allowed range (pages: 1-200, chars: 1000-500000) — validation error
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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