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CoCo PDF Text Extractor
x402
CoCo PDF Text Extractor is a paid API for AI agents from cocoeatsai.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-19).
Extracts raw text content and page count from a PDF document via URL query parameter
Price / call$0.001
Success—
StatusUnknown
How this service works
Zach Riehn's lab: an about-me and portfolio, a news desk, The Atelier for AI experiments, Launch Lab for XRP research, and Fracture for games.
Output
Returns a JSON object containing the full extracted text of the PDF as a string and the total page count as a number, e.g. {"text": "...", "pages": 5}.
Example use cases
Research paper text extraction
“I have this academic PDF at https://arxiv.org/pdf/2301.00001.pdf — can you pull out all the text so I can search through it and summarize the findings?”
Contract content retrieval
“Extract the text from this contract PDF at https://myfiles.com/contract.pdf so I can review the terms and flag any unusual clauses.”
Invoice data parsing
“I need the text content from this invoice PDF at https://billing.example.com/invoice-1042.pdf — grab the text and tell me how many pages it is.”
Technical details
Endpoint
GEThttps://cocoeatsai.com/area4/agent/tools/pdf-text?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to quickly extract raw text from a PDF document accessible via URL and want the page count alongside the text. Best suited for lightweight, single-document extraction tasks where the PDF is publicly accessible. Prefer this over OCR-based solutions for text-layer PDFs (not scanned image PDFs).
Side effects
- Invalid or inaccessible PDF URL returns an error
- Non-PDF file types may fail to parse
- Password-protected PDFs cannot be extracted
- Very large PDFs may time out or return incomplete text
- Network errors if the remote PDF URL is unreachable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"text": "Example PDF text",
"pages": 1
},
"exampleNote": "Illustrative response subset; not a live observation."
}Tags
x402
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