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Agent Tools OCR – Read Text from Image URL
x402
Agent Tools OCR – Read Text from Image URL is a paid API for AI agents from agents.crowdspark.me, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-31).
Performs OCR on a public image URL (PNG/JPEG) and returns all extracted text with line breaks preserved
Price / call$0.005
Success—
StatusUnknown
How this service works
Pay-per-call utilities for AI agents over x402, USDC on Base.
Output
A JSON object with a single 'text' field containing all text extracted from the image, with original line breaks preserved as they appear in the source image.
Example use cases
Digitizing a printed receipt
“I have a photo of a paper receipt at https://mybucket.s3.amazonaws.com/receipt_2024.jpg — can you extract all the text from it so I can log the line items?”
Reading a road sign from a photo
“There's a photo of a street sign at https://cdn.example.com/sign.png, can you tell me what text is written on it?”
Extracting data from a scanned form
“I've got a scanned intake form uploaded at https://docs.mysite.com/form_scan.jpeg — please read all the text off it, keeping the line breaks intact.”
Technical details
Endpoint
GEThttps://agents.crowdspark.me/v1/ocr?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a public image URL (PNG or JPEG) containing text you need to extract — such as receipts, signs, scanned pages, screenshots, or charts — and you need a fast, pay-per-call OCR result with line break fidelity. Especially suitable for agent pipelines where documents arrive as image URLs rather than uploaded files.
Side effects
- Image URL is not publicly accessible (returns error)
- Image exceeds 10 MB size limit
- Unsupported image format (non-PNG/JPEG)
- Image contains no readable text (returns empty or minimal text)
- URL is malformed or unreachable
- Very low resolution or blurry image may yield incomplete extraction
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"text": "Hello Agent Tools"
}
}Tags
x402
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