Image OCR – Extract Printed & Handwritten Text

x402

Image OCR – Extract Printed & Handwritten Text is a paid API for AI agents from manyfish-seller.redcliff-d7368db1.westus2.azurecontainerapps.io, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).

Extracts printed and handwritten text from a supplied image using optical character recognition (OCR).

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Extract printed and handwritten text from a supplied image using OCR.

Output

Returns the recognized text content extracted from the image, covering both printed and handwritten regions, structured as an OCR result with the identified character sequences.

Example use cases

Digitize handwritten field notes

“I've got a photo of handwritten lab notes taken in the field — can you extract all the text from this JPEG so I can paste it into my report?”

Extract text from a scanned form

“I scanned a paper intake form and saved it as a PNG — can you pull out all the printed text from the image so I can import the data into our system?”

Read text from a screenshot

“I have a PNG screenshot of an error message on my screen — can you extract the exact text from the image so I can search for a solution?”

Technical details

Endpoint

POSThttps://manyfish-seller.redcliff-d7368db1.westus2.azurecontainerapps.io/api/v1/image/ocr

When to prefer

Choose this endpoint when you need to extract text from a raster image (JPEG or PNG) containing printed or handwritten content. Use this over the PDF OCR sibling endpoint when your source is an image file rather than a PDF. Prefer this over the image-to-Markdown endpoint when you want raw OCR text without document structure conversion, or when the image is not a document-style scan.

Side effects

Image is too large (base64 exceeds ~10MB limit) — returns validation error
Unsupported content type (not image/jpeg or image/png) — rejected by enum validation
Malformed base64 string — fails pattern validation
Image quality too low or text too small/blurry for OCR to recognize — returns empty or partial text
Invalid locale format — fails regex pattern validation

Input

Schema · Request body

Field	Type	Description
locale	string
contentType	—
imageBase64	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "text": "HELLO",
    "image": {
      "width": 200,
      "height": 120,
      "contentType": "image/png"
    },
    "lines": [
      {
        "text": "HELLO",
        "polygon": [
          70,
          40,
          180,
          40,
          180,
          75,
          70,
          75
        ]
      }
    ],
    "textCharacters": 5
  }
}

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Example use cases

Digitize handwritten field notes

“I've got a photo of handwritten lab notes taken in the field — can you extract all the text from this JPEG so I can paste it into my report?”

Extract text from a scanned form

“I scanned a paper intake form and saved it as a PNG — can you pull out all the printed text from the image so I can import the data into our system?”

Read text from a screenshot

“I have a PNG screenshot of an error message on my screen — can you extract the exact text from the image so I can search for a solution?”

Technical details

Endpoint

POSThttps://manyfish-seller.redcliff-d7368db1.westus2.azurecontainerapps.io/api/v1/image/ocr

When to prefer

Side effects

Image is too large (base64 exceeds ~10MB limit) — returns validation error
Unsupported content type (not image/jpeg or image/png) — rejected by enum validation
Malformed base64 string — fails pattern validation
Image quality too low or text too small/blurry for OCR to recognize — returns empty or partial text
Invalid locale format — fails regex pattern validation

Input

Schema · Request body

Field	Type	Description
locale	string
contentType	—
imageBase64	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "text": "HELLO",
    "image": {
      "width": 200,
      "height": 120,
      "contentType": "image/png"
    },
    "lines": [
      {
        "text": "HELLO",
        "polygon": [
          70,
          40,
          180,
          40,
          180,
          75,
          70,
          75
        ]
      }
    ],
    "textCharacters": 5
  }
}