The actor takes an input image in a specified format (base64 or url) and using asked Optic Character Recognition (OCR) model (PaddleOCR or Tesseract) extracts textual data in required language (See OCR model documentations for available languages). The result is saved into Key-Value store as one of output formats (pdf, txt or bbox)

INPUT

Input of this actor should be JSON file with following fields:

Field	Type	Description	Allowed values
input_type	String	Input image format	`base64` or `url`
input_image	String	Image	Any valid string value
language	String	Text language	See OCR model documentations (e.g `en`)
ocr	String	Specific OCR model	`paddle` or `tesseract`
output_format	String	Desired output format	`bbox`/`pdf` for PaddleOCR or `txt`/`pdf` for Tesseract

Sample Input

{
    "input_type": "url",
    "input_image": "https://images4.programmersought.com/934/e8/e89758ae0ed991f1c8aba947addec9e6.png",
    "lang": "eng",
    "ocr": "tesseract", 
    "output_format": "txt" 
}

OUTPUT

Once the actor finishes, it will output a textual data in specified format.

bbox : list of bounding boxes and text inside
pdf : Base64 encoded pdf file
txt : String text

Sample Output

{
    "response": "Sample PDF Document\n\nRobert Maron\nGrzegorz. Grudziriski\n\nFebruary 20, 1999\n\x0c", 
    "error": None
}

On this page

Actor - Image to Text
- INPUT
  - Sample Input
- OUTPUT
  - Sample Output

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