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Arch Tools PDF Extractor
x402
Arch Tools PDF Extractor is a paid API for AI agents from archtools.dev, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-13).
Extracts text and content from a PDF document provided via URL or base64-encoded data
Price / call$0.015
Success—
StatusUnknown
How this service works
Arch Tools — extract-pdf
Output
A JSON object containing the extracted text and content from the PDF document, suitable for downstream processing, analysis, or search.
Example use cases
Extract invoice data from PDF
“Pull all the text out of this invoice PDF so I can read the line items and totals: https://my-invoices.com/invoice-2024-05.pdf”
Parse research paper content
“I have a research paper PDF at https://arxiv.org/pdf/2401.00001.pdf — can you extract all the text from it so I can analyze what it says?”
Process base64-encoded PDF document
“I've got a PDF encoded in base64 from our internal system — can you extract the text out of it so I can see what the contract says?”
Technical details
Endpoint
POSThttps://archtools.dev/v1/tools/extract-pdfWhen to prefer
Choose this endpoint when you need to programmatically extract text from a PDF document, either by pointing to a public URL or by sending the document as base64. It is ideal for agentic workflows that need to read PDF content before analysis, search, or data extraction. Costs $0.015 USDC per call via x402 micropayment on Base, making it practical for high-volume document processing pipelines.
Side effects
- Invalid or inaccessible PDF URL returns an error
- Malformed base64 string causes parsing failure
- Password-protected or encrypted PDFs may not be extractable
- Very large PDFs may time out or return partial results
- Scanned image-only PDFs without OCR layer may return empty or minimal text
- Neither pdf_url nor pdf_base64 provided results in a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| pdf_url | string | Public URL of the PDF (max 5MB / 50 pages per call — split larger documents into parts) |
| pdf_base64 | string | Base64-encoded PDF (alternative to pdf_url; same 5MB / 50-page limit applies) |
Tags
x402
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