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PDF Text & Metadata Extractor
x402
PDF Text & Metadata Extractor is a paid API for AI agents from pdf.openverbs.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-10-18).
Extracts plain text and metadata (title, author, producer, page count) from a PDF supplied via URL or base64-encoded bytes using server-side pdf.js parsing.
Price / call$0.006
Success—
StatusUnknown
How this service works
Extract plain text and metadata (title, author, producer, page count) from a PDF supplied by URL or base64 — heavy pdf.js parsing an agent can't self-run.
Output
Returns extracted plain text from the PDF, along with document metadata including title, author, producer, and page count. If perPage is true, also returns an array of per-page text strings. Covers up to maxPages pages (default 500).
Example use cases
Research paper content extraction
“I need you to pull out all the text from this academic PDF at https://arxiv.org/pdf/2301.00001.pdf so I can summarize it — also tell me the title, author, and how many pages it is.”
Contract review from base64 upload
“I've got a PDF contract encoded in base64 — can you extract the plain text from it so I can check the terms? I only need the first 10 pages.”
Invoice metadata and text retrieval
“Grab the text and metadata from this invoice PDF at https://invoices.mycompany.com/inv-2024-042.pdf and give me the content split page by page so I can find the line items.”
Technical details
Endpoint
POSThttps://pdf.openverbs.com/v1/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an agent needs to extract text or metadata from a PDF document but cannot run pdf.js or similar parsing libraries locally. Ideal when the PDF is available at a public URL or as base64 bytes. Prefer over general web scraping tools when the target is specifically a PDF. Best when structured per-page text or metadata fields like author and producer are needed alongside content.
Side effects
- Private, loopback, or link-local URLs are rejected with an error
- PDF exceeds 5 MB decoded size limit when using base64 input
- URL is unreachable or returns a non-PDF file
- Malformed or corrupted PDF that pdf.js cannot parse
- Neither pdf nor url parameter provided — request rejected
- maxPages out of allowed range (1–500)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| string | Base64-encoded PDF bytes (≤5 MB decoded). Provide this or `url`. | |
| url | string | Public http(s) URL of the PDF to fetch. Private/loopback/link-local addresses are rejected. Provide this or `pdf`. |
| perPage | boolean | When true, also return the text split per page as `perPage[]`. |
| maxPages | integer | Cap the number of pages extracted (from the start). Default 500. |
Tags
x402
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