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Vextorium PDF Text Extractor
x402
Vextorium PDF Text Extractor is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-11).
Extracts plain text from a PDF file by URL, returning page-by-page text content with word counts
Price / call$0.004
Success—
StatusUnknown
How this service works
Text of a PDF (URL) split by page with page numbers and word counts; ask for specific pages (e.g. 1-3,7). Better than one blob for citing or chunking documents.
Output
Returns a JSON object with an array of page objects, each containing the page number, extracted text, and word count. Also includes the total number of pages returned and the total number of pages in the original PDF. An optional note field may contain additional metadata.
Example use cases
Extracting government statistical report text
“Pull all the text out of this BLS Consumer Price Index PDF at https://www.bls.gov/news.release/pdf/cpi.pdf so I can read through the data.”
Reading a research paper from a URL
“I have a research paper at https://arxiv.org/pdf/2301.00001.pdf — can you extract the text from it so I can analyze what it says?”
Parsing a contract PDF for review
“Please extract the text from pages 1 through 5 of this contract PDF at https://example.com/contract.pdf so I can review the terms.”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/pdf-text?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract raw text from a PDF accessible via a public URL, especially for documents with embedded text (not scanned images). Ideal for processing government reports, research papers, contracts, or any structured PDF document. At $0.004 per call it is cost-effective for per-document extraction in agent workflows that need to read PDF content programmatically without setting up a local PDF parser.
Side effects
- PDF URL is unreachable or returns a non-PDF file — may result in an error or empty text
- Password-protected or encrypted PDFs cannot be parsed and will return no text
- Scanned image-only PDFs without embedded text will return empty or minimal text per page
- Very large PDFs may be truncated by max_characters limit
- Invalid URL format will cause a request validation error
- Network timeouts if the PDF host is slow to respond
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"note": null,
"pages": [
{
"page": 1,
"text": "Transmission of material in this release is embargoed until USDL-26-1496 \n8:30 a.m. (ET) Friday, September 11, 2026 \nT\nechnical information: (202) 691-7000 • cpi_info@bls.gov • www.bls.gov/cpi \nMedia contact: (202) 691-5902 • PressOffice@bls.gov\nCONSUMER PRICE INDEX – AUGU…",
"words": 301
}
],
"returned": 1,
"pdf_pages": 38
}
}Tags
x402
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