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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, $0.012/call, status unknown (last checked 2026-10-11).
Extracts all text content from a PDF file given its direct URL, returning the full text, page count, and whether it was truncated.
Price / call$0.012
Success—
StatusUnknown
How this service works
Extract the text of a PDF from its URL.
Output
A JSON object containing: the original PDF URL, the full extracted plain text string, the number of pages in the PDF, and a boolean indicating whether the text was truncated due to length limits.
Example use cases
Research paper text extraction
“I need the full text from this academic paper so I can summarize it — can you pull the text out of this PDF: https://arxiv.org/pdf/2301.00001.pdf?”
Legal document parsing
“Extract all the text from this contract PDF so I can search it for specific clauses: https://example.com/contract_2024.pdf”
Invoice data preprocessing
“Pull the text content out of this invoice PDF so I can feed it into my data pipeline: https://invoices.acme.com/inv-9823.pdf”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/pdf-extract-text?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to extract plain text from a PDF accessible via a direct public URL, especially for document analysis, summarization, search indexing, or feeding PDF content into downstream NLP pipelines. Prefer this over general-purpose web scrapers when the target is specifically a PDF file with embedded text rather than an HTML page.
Side effects
- URL does not point to a valid or accessible PDF — returns error
- PDF contains only scanned images (no embedded text) — returns empty or minimal text
- PDF URL requires authentication or is behind a paywall — fetch fails
- Network timeout if the PDF is very large or hosted on a slow server
- Malformed URL input causes validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://ejemplo.com/documento.pdf",
"text": "Contenido extraido...",
"num_pages": 3,
"truncated_text": false
}
}Tags
x402
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