clsTesseractGetText Step

Last published at: January 8th, 2023

Description:

Optical character recognition – OCR using Google’s tesseract engine.  Provide an image and get text from the image.    

Inputs

  • imageFilePath – file path to the image file
  • selLanguage – select the character recognition language
  • selRegionName – select region name
  • textVarGlobal – variable or global to hold the recognized text
  • percentVarGlobal – Variable or global hold the recognition percent

Returns

  • True – step executed successfully
  • False – step failed to execute

Usage:

Example:

Let’s build and execute the clstesseractgettextStepDef example.      

  • Create a new definition called “clstesseractgettextStepDef
  • Select the definition and click the “design” button
  • Drag a tesseract get text step from the toolbox
  • Configure the step using the following properties:

  • Create a workflow instance and execute, the workflow will recognize the text represented by the barcode image

Configuration:

By default, FlowWright ships with language files for English.  If you like to configure other languages for optical character recognition, then select the following menu option. 

Select the desired languages and click the button to configure them.