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dt0ur.online OCR – Client-Side Tesseract.js Image Text Extraction
x402
dt0ur.online OCR – Client-Side Tesseract.js Image Text Extraction is a paid API for AI agents from dt0ur.online, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-03).
Extracts textual content from an image URL using client-side Tesseract.js and returns recognized text with per-word confidence scores.
Price / call$0.1
Success—
StatusUnknown
How this service works
Extracts textual content from images and scans using client-side Tesseract.js with per-word confidence scoring.
Output
Returns the extracted text content from the image along with per-word confidence scores, allowing the agent to identify which recognized words are high-confidence and which may need manual review.
Example use cases
Digitizing scanned invoice documents
“I have a scanned invoice image at https://mybucket.s3.amazonaws.com/invoice-2024-06.png — can you extract all the text from it and show me the confidence score for each word so I know which parts to double-check?”
Reading text from a photo of a sign
“Can you OCR this photo of a road sign I took — https://cdn.myapp.com/road-sign.jpg — and pull out all the readable text with confidence levels?”
Extracting form fields from a document image
“I've got an image of a filled-out paper form at https://storage.example.com/form-scan.png. Can you run OCR on it and give me the extracted text along with per-word confidence scores?”
Technical details
Endpoint
POSThttps://dt0ur.online/api/vision/ocr?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract text from an image or scanned document and want per-word confidence scoring to assess recognition reliability. It is well-suited for processing receipts, invoices, forms, signs, or any printed/handwritten document available as a public image URL. Prefer this over generative vision captioning endpoints when your goal is verbatim text extraction rather than descriptive summarization.
Side effects
- Image URL is not publicly accessible (returns error or empty result)
- Image format not supported by Tesseract.js (e.g., unusual codec or corrupt file)
- Low-quality or blurry image results in very low confidence scores across all words
- Non-Latin scripts or rare fonts may produce poor recognition accuracy
- Very large image files may time out or fail to process
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| image_url | string | Public URL to the image file |
Tags
x402
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