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Vextorium PDF Text by Pages
x402
Vextorium PDF Text by Pages is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-29).
Extracts text from a PDF URL split by individual pages, returning page numbers, text content, and word counts — with optional page range filtering.
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
A JSON object with an array of pages, each containing the page number, extracted text, and word count. Also includes the total number of pages in the PDF, the number of pages returned, and an optional note field. Pages are returned in order and cover only the requested range if specified.
Example use cases
Citing specific PDF pages
“Pull the text from pages 3, 7, and 10-12 of this PDF — https://example.com/legal-brief.pdf — so I can cite specific page numbers in my summary.”
Chunking PDF for RAG pipeline
“I need to load this academic paper into my vector database — fetch all the pages from https://example.com/paper.pdf and give me each page's text separately with word counts so I can chunk it properly.”
Spot-checking a long report
“This government report at https://bls.gov/report.pdf is 38 pages long — can you just grab pages 1 and 2 so I can quickly check the executive summary?”
Technical details
Endpoint
POSThttps://api.vextorium.com/pdf-texto-paginas-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need PDF text organized by page rather than as a single blob — especially for citation, per-page chunking for RAG pipelines, or retrieving only a subset of pages from a long document. It is superior to full-document extractors when page boundaries matter, word counts per page are needed, or the document is large and you only need specific sections.
Side effects
- Invalid or inaccessible PDF URL returns an error or empty result
- PDF is encrypted or password-protected and cannot be parsed
- Requested page range exceeds total pages in the document
- PDF contains scanned images without OCR text, returning empty text per page
- max_caracteres truncates text on very dense pages
- Network timeout fetching large PDFs from slow URLs
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | |
| paginas | string | |
| max_caracteres | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"nota": null,
"paginas": [
{
"texto": "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…",
"pagina": 1,
"palabras": 301
}
],
"devueltas": 1,
"paginas_pdf": 38
}
}Tags
x402
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