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falcon.sol OCR API
x402
falcon.sol OCR API is a paid API for AI agents from falcondocs.vercel.app, paid per call via x402, $0.0045/call, status unknown (last checked 2026-10-31).
Converts scanned/photographed PDFs (up to 20 pages) or images (PNG/JPEG/WEBP/BMP/TIFF) to plain text or markdown using local Tesseract OCR
Price / call$0.0045
Success—
StatusUnknown
How this service works
falcon.sol: OCR for agents: scanned or photographed PDF (up to 20 pages) or a PNG/JPEG/WEBP/BMP/TIFF image to text or markdown, using local Tesseract (English). Send a URL, base64 file or raw image body. No text found is not charged. $0.0045 USDC.
Output
Returns the recognized text content of the submitted document as plain text or markdown. If no text is detected, the result is empty and the call is not charged. Covers all text visible across up to 20 pages of a PDF or within a single image file.
Example use cases
Digitize scanned legal contract
“I have a scanned PDF of a contract at this URL — https://example.com/signed-agreement.pdf — can you run OCR on it and give me the full text so I can search through it?”
Extract text from a photo of a receipt
“I took a JPEG photo of a paper receipt and encoded it as base64 — can you run OCR on it and pull out all the text so I can log the expense?”
Convert photographed form to markdown
“Here's a link to a scanned TIFF image of a filled-out form: https://example.com/form-scan.tiff — please extract all the text and return it formatted as markdown.”
Technical details
Endpoint
POSThttps://falcondocs.vercel.app/v1/ocr?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, cost-effective OCR on English-language scanned PDFs or images and do not require structured field extraction. It is ideal for raw text extraction from documents up to 20 pages where downstream processing will handle structure. Prefer sibling endpoints (invoice extraction, bank statement extraction) when you need structured data fields rather than raw text.
Side effects
- PDF exceeds 20-page limit — request may be rejected or truncated
- Non-English text may not be accurately recognized (English-only Tesseract model)
- Low-resolution or heavily distorted images may yield poor OCR accuracy
- Invalid URL or unreachable file results in fetch error
- Unsupported file format returns an error
- Empty/blank pages return no text (not charged)
Tags
x402
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