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PDF Text Extraction API (x402.forgemesh.io)
x402
PDF Text Extraction API (x402.forgemesh.io) is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Fetches a public PDF by URL and returns clean, layout-preserving plain text in a single API call, no local PDF library needed.
Price / call$0.005
Success—
StatusUnknown
How this service works
Extracts clean, layout-preserving text from any public PDF URL up to 25MB in a single call, no local PDF library or OCR pipeline required. Built for feeding PDF content into research agents, document QA, and RAG ingestion pipelines that need plain text rather than a binary file.
Output
Returns clean, layout-preserving plain text extracted from the PDF at the provided URL, ready to be passed into an LLM, RAG ingestion pipeline, or document QA system.
Example use cases
Example prompt
“Can you pull the text out of this PDF for me — https://example.com/research-paper.pdf — so I can search through its contents?”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/extract-text-from-pdfWhen to prefer
Use this endpoint when you need to extract plain text from a publicly accessible PDF URL without setting up a local PDF parsing library or OCR pipeline. It is ideal for research agents, RAG ingestion workflows, and document QA systems that need to consume PDF content as text in a single lightweight API call.
Side effects
- PDF URL is not publicly accessible or returns a non-200 status
- PDF file exceeds the 25MB size limit
- URL does not point to a valid PDF file
- PDF is encrypted or password-protected and cannot be parsed
- Network timeout fetching the remote PDF
- Malformed or corrupt PDF content that cannot be parsed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| pdf_url | string | Public URL of a PDF file, max 25MB |
Output
Schema · Response
{
"type": "json",
"example": {
"text": "Hello World"
}
}Tags
x402
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