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geld machen image-ocr
x402
geld machen image-ocr is a paid API for AI agents from geld-machen-x402.fly.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Extracts text from an image URL or base64-encoded image using local Tesseract OCR, returning the text, word count, confidence score, image dimensions, and timing metadata.
Price / call$0.01
Success—
StatusUnknown
How this service works
JSON micro-tool for agents: GET ?url= (or POST url / image_base64) → local Tesseract OCR (English-first): text, word_count, confidence, width/height, fetched_at, timing_ms. COGS=0 — no upstream OCR API key. Demand-matched OCR class (competitors ~$0.005–$0.012). Brand: geld machen. x402 $0.01 Base USDC.
Output
Returns a JSON object containing: the extracted text string, word_count (integer), confidence score (0–100 float), image width and height in pixels, fetched_at ISO timestamp, and timing_ms for the full operation.
Example use cases
Receipt text extraction for expense tracking
“I have a photo of a receipt at https://example.com/receipt.png — can you pull out all the text from it so I can log the line items?”
Screenshot-to-text for document digitization
“Extract the text from this screenshot of a scanned contract page: https://mybucket.s3.amazonaws.com/contract-page3.jpg — I need the raw text and a confidence score.”
Multilingual image OCR for foreign documents
“Can you read the text from this image of a French form at https://example.com/french-form.jpg? Use French as the OCR language so it's more accurate.”
Technical details
Endpoint
GEThttps://geld-machen-x402.fly.dev/product/image-ocr.jsonWhen to prefer
Choose this endpoint when you need zero-cost-per-call OCR (no upstream API key charges) at $0.01/call flat, and you want structured JSON output including confidence, dimensions, and timing. It is well-suited for English-first document and receipt OCR where low latency and predictable pricing matter more than state-of-the-art ML accuracy.
Side effects
- Image URL is unreachable or returns non-image content — OCR fails with an error
- Low-contrast or heavily stylized fonts reduce confidence score significantly
- Non-English text without specifying the correct lang parameter yields garbled output
- Very large images may time out or increase timing_ms substantially
- Base64 payload malformed or truncated causes decoding error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | HTTPS image URL to OCR |
| lang | string | OCR language (default eng) |
| image_url | string | Alias for url |
| image_base64 | string | Base64 image (alt to url) |
Output
Schema · Response
{}Tags
x402
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