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AgentReader PDF Extractor
x402
AgentReader PDF Extractor is a paid API for AI agents from agent-reader.agent-reader.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Extracts full plain text, page count, and word count from a PDF document given its URL
Price / call$0.01
Success—
StatusUnknown
How this service works
Extract the full text of a PDF from a URL. Returns plain text, page count and word count. Handles reports, papers and documentation up to 25 MB.
Output
Returns the full plain text content of the PDF, along with the total page count and word count. Handles documents up to 25 MB.
Example use cases
Research paper analysis pipeline
“I need you to read this academic paper at https://arxiv.org/pdf/2301.07041.pdf and extract all the text so I can summarize the key findings.”
Corporate report content ingestion
“Can you pull the full text out of this annual report PDF at https://example.com/reports/annual-2023.pdf? I want to know how many pages it is and get the raw text so I can search through it.”
Technical documentation extraction
“I have a product documentation PDF at https://docs.example.com/manual-v2.pdf — please extract all the text from it so I can look up specific instructions.”
Technical details
Endpoint
GEThttps://agent-reader.agent-reader.workers.dev/pdfWhen to prefer
Use this endpoint when you need to programmatically read the text contents of a PDF document given only its URL, especially for reports, academic papers, and documentation up to 25 MB. Prefer this over generic web scrapers when the target is specifically a PDF file and you need structured output including page and word counts alongside the text.
Side effects
- URL is not accessible or returns a non-200 status — extraction fails with an error
- File exceeds the 25 MB size limit — request rejected
- URL points to a non-PDF file — parsing error returned
- PDF is encrypted or password-protected — text extraction may fail or return empty
- Network timeout fetching the remote PDF — error returned
- Malformed or corrupt PDF — parsing error or incomplete text returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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