clsAzureMLFormRecognizer Step

Use this step to fetch text from a Form document.

Last published at: January 2nd, 2024


This step gets the text from Form document (supported formats include JPEG, PNG, BMP, PDF and TIFF) using Azure ML.



  • varGlobalToStoreValue– Variable or global to hold the result
  • formPath– file path to the form



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






Let’s build and execute the “clsAzureMLFormRecognizerDef” example. 

  • Create a new workflow definition
  • Drag a get “clsAzureMLFormRecognizer” step from the toolbox
  • Connect the dots between the start and “clsAzureMLFormRecognizer” step
  • Define a variable/global to store the result after execution
  • Click on the "clsAzureMLFormRecognizer" step to configure its "Settings" properties. Provide a name to the step. Provide the document source file path (supported formats include JPEG, PNG, BMP, PDF and TIFF). Provide the variable/global to store the result. 
  • The “Logging” setting configuration is necessary for documentation and also measure the workflow progress and the percent complete. This is acheived by configuring the step state and percent fields individually as shown in the images below. Configure the “Logging” using the following properties.
  • Navigate to Status - Settings - Configuration - Azure ML settings menu option to complete the configuration. A sample image is included here for reference.  
  • Save the process definition, create a new process instance and execute. Render the process instance. Click on the process step to view the properties. The step should get the text from the form document using Azure ML.