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AugeLab Studio Manual
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OCR - Text Recognition

OCR - Text Recognition Node Documentation

The OCR - Text Recognition node in AugeLab Studio performs optical character recognition (OCR) to recognize text in an image. It uses the Tesseract OCR engine to extract text from the input image.

Node Overview

The OCR - Text Recognition node takes an image as input and provides the recognized text as output.

Node Properties

  • Node Title: OCR - Text Recognition
  • Node ID: OP_NODE_OCR

Inputs

The OCR - Text Recognition node has the following input socket:
  1. 1.
    Image: The image containing the text to be recognized.

Outputs

The OCR - Text Recognition node has the following output socket:
  1. 1.
    Text: The recognized text extracted from the input image.

Usage

  1. 1.
    Drag and drop the OCR - Text Recognition node from the node library onto the canvas in AugeLab Studio.
  2. 2.
    Connect the image containing the text to be recognized to the Image input socket of the OCR - Text Recognition node.
  3. 3.
    Select the desired page segmentation mode from the Page Segmentation Modes dropdown list. This mode determines how the text is segmented and recognized in the image.
  4. 4.
    Select the desired OCR engine mode from the OCR Engine Modes dropdown list. This mode determines the OCR engine to be used for text recognition.
  5. 5.
    Run the pipeline.
  6. 6.
    The OCR - Text Recognition node will perform OCR on the input image using the selected page segmentation mode and OCR engine mode.
  7. 7.
    The recognized text will be extracted from the image.
  8. 8.
    The recognized text will be outputted from the Text output socket of the node.
  9. 9.
    Retrieve the recognized text for further analysis, processing, or visualization.

Notes

  • The OCR - Text Recognition node uses the Tesseract OCR engine for text recognition.
  • The node supports various page segmentation modes, allowing you to adapt the OCR process to different types of images.
  • The OCR engine mode determines the OCR engine to be used for text recognition. Different OCR engines may produce different results.
  • The recognized text will be outputted as a string from the Text output socket.
  • The node supports input images in various formats.
  • The OCR - Text Recognition node can be combined with other nodes in AugeLab Studio to create complex computer vision pipelines.
That concludes the documentation for the OCR - Text Recognition node in AugeLab Studio. Use this node to perform optical character recognition and extract text from images.
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