Tanod Docs OCR

x402

Tanod Docs OCR is a paid API for AI agents from docs.tanod.dev, paid per call via x402, $0.0025/call, status unknown (last checked 2026-10-13).

Extracts text from an image URL using Tesseract OCR, returning the recognized text, confidence score, and metadata.

Price / call$0.0025

Seller volume →—

Success—

StatusUnknown

How this service works

Documents: DOCX template fill, Office to PDF, any file to Markdown, PDF to Word, OCR, PDF pipeline.

Output

Returns a JSON object containing the extracted text string, image dimensions (width/height), number of recognized words, image format, the final resolved URL, a boolean indicating whether the output was truncated, mean OCR confidence score (0–100), and an untrusted_content flag.

Example use cases

Digitizing scanned invoice text

“I have a scanned invoice image at https://example.com/invoice.png — can you run OCR on it in English and give me all the text so I can process it programmatically?”

Extracting text from a screenshot

“Please pull all the text out of this screenshot I uploaded to https://cdn.mysite.com/screenshot.jpg — I need the raw text so I can search through it.”

Reading printed form fields

“There's a filled-out paper form at https://storage.example.com/form-scan.png — can you OCR it in English and return the recognized text along with how confident the OCR engine was?”

Technical details

Endpoint

POSThttps://docs.tanod.dev/v1/ocr?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to extract machine-readable text from a raster image (PNG, JPEG, WebP, GIF, single-page TIFF) hosted at a public URL. It is ideal for processing scanned documents, receipts, screenshots, or printed forms where Tesseract OCR accuracy (confidence score included) is sufficient. It is distinct from full PDF pipelines or multi-page document workflows available on the same platform.

Side effects

Image URL is not publicly accessible or returns a non-200 response
Image exceeds 10 MB or 40 megapixel limit — likely 4xx error
Unsupported image format (e.g. multi-page TIFF, SVG, PDF) — will fail
Requested language code not installed (only 'eng' is listed as installed)
Low confidence result when image quality is poor or text is handwritten
Network timeout fetching the remote image URL

Input

Schema · Request body

Field	Type	Description
url	string	Public http(s) URL of a PNG, JPEG, WebP, GIF (first frame) or single-page TIFF image (at most 10 MB and 40 megapixels).
lang	string	Tesseract language code (installed: eng).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "url": "https://tesseract-ocr.github.io/tessdoc/images/eurotext.png",
    "lang": "eng",
    "text": "The (quick) [brown] {fox} jumps!\nOver the $43,456.78 <lazy> #90 dog\n& duck/goose, as 12.5% of E-mail\nfrom aspammer@website.com is spam. ...",
    "width": 640,
    "words": 66,
    "format": "png",
    "height": 500,
    "final_url": "https://tesseract-ocr.github.io/tessdoc/images/eurotext.png",
    "truncated": false,
    "confidence_mean": 90.2,
    "untrusted_content": true
  }
}

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