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Foundry OCR
x402
Foundry OCR is a paid API for AI agents from minty-sprout.onrender.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-11-01).
Extracts all text from an image or PDF URL and returns it as Markdown using vision-based OCR
Price / call$0.006
Success—
StatusUnknown
How this service works
OCR: extract all text from an image URL (photos, screenshots, scans, receipts, invoices) as Markdown; text PDFs read directly. Input: an image or PDF URL.
Output
A JSON object containing the original URL, the full extracted text as a Markdown string, the OCR method used (e.g. 'vision-ocr'), and the character count of the extracted text.
Example use cases
Digitize scanned invoice
“I have a scanned invoice image at https://example.com/invoice.png — can you pull out all the text from it so I can see the line items and totals?”
Read screenshot of article
“I took a screenshot of a webpage and saved it at https://mybucket.s3.amazonaws.com/article-screenshot.png — can you extract all the text from it for me?”
Parse PDF document content
“Here's a link to a PDF report: https://example.com/annual-report.pdf — can you read the text out of it and give it to me in a readable format?”
Technical details
Endpoint
POSThttps://minty-sprout.onrender.com/v1/ocr?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract text from a publicly accessible image URL (PNG, JPEG, WebP) or a text-based PDF URL. It is ideal for receipts, invoices, screenshots, scanned documents, and any image containing readable text. Prefer this over general-purpose vision APIs when you need clean Markdown output at a low fixed cost per call ($0.006 USDC) and your source is already hosted at a URL rather than a local file.
Side effects
- Invalid or inaccessible URL returns an error — ensure the URL is publicly reachable
- Unsupported file format (e.g. non-text PDF with complex layout) may yield incomplete or empty text
- Very large images or PDFs may time out or return partial results
- Handwritten or low-resolution images may result in poor OCR accuracy
- Non-image, non-PDF URLs will likely return an error or empty text
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string | URL of a PNG, JPEG, WebP or text PDF |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://www.base.org/images/base-open-graph-v2.png",
"text": "base\n\nThe blockchain for global finance.",
"method": "vision-ocr",
"characters": 38
}
}Tags
x402
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