Description:
This step gets the text from the Form document (supported formats include JPEG, PNG, BMP, PDF, and TIFF) using Azure ML.
Inputs
- varGlobalToStoreValue– Variable or global to hold the result
- formPath– file path to the form
Returns
- True – step executed successfully
- False – step failed to execute
Usage:
Example:
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 measures the workflow progress and the percent complete. This is achieved by configuring the step state and percent fields individually, as shown in the images below. Configure the “Logging” using the following properties.
- To complete the configuration, navigate to the Status—Settings—Configuration—Azure ML settings menu option. 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.
Definition Sample:
You may download the sample definition from the link here and later import it (drag-drop) to your FlowWright Process (XML) and Form Definition (HTML) page. After import, you must verify the process steps and complete the database configuration, if any.
https://github.com/FlowWrightCode/FW10Steps/blob/main/clsAzureMLFormRecognizerDef.xml