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Agent Tools OCR from Uploaded Image Bytes
x402
Agent Tools OCR from Uploaded Image Bytes is a paid API for AI agents from agent-tools.jbarkules.workers.dev, paid per call via x402, $0.0038/call, status unknown (last checked 2026-10-30).
Extracts text from a raw PNG or JPEG image uploaded as bytes (up to 10 MB) using optical character recognition.
Price / call$0.0038
Success—
StatusUnknown
How this service works
OCR from uploaded bytes: send a raw PNG/JPEG image body (max 10 MB) and get its text back.
Output
A JSON object containing a 'text' field with all the recognized text extracted from the uploaded image as a single string (e.g. {"text": "TOTAL $12.40"}).
Example use cases
Receipt total extraction for expense tracking
“I photographed a paper receipt from my lunch — can you read all the text out of this JPEG image so I can log the total and line items in my expense report?”
Scanned form digitization
“I have a scanned PNG of a paper intake form. Can you pull all the text out of it so I can import the fields into our database?”
Handwritten note transcription
“I took a photo of my handwritten meeting notes as a JPEG — can you read and transcribe all the text from the image?”
Technical details
Endpoint
POSThttps://agent-tools.jbarkules.workers.dev/v1/ocr/upload?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a raw PNG or JPEG image file (up to 10 MB) and need to extract its text content quickly via a single API call. It is ideal for receipts, scanned documents, photos of forms, and any image-to-text pipeline. Prefer this over PDF-based endpoints when your input is already a raster image rather than a PDF. For PDFs, use the sibling PDF-to-text endpoint instead.
Side effects
- Image exceeds 10 MB size limit — request rejected
- Unsupported image format (non-PNG/JPEG) — parsing failure or error response
- Corrupt or unreadable image bytes — OCR returns empty string or error
- Handwriting or low-resolution images may yield partial or inaccurate text
- Network timeout if image upload is slow
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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