This activity is used to extract important data that is in the form of tables as well as text
from the given input document to accelerate business processes without manual effort
and its subsequent human errors.

Technical Reference

	INPUT	InputImagePath: Specify the path of the image file which has to be processed.
		InputReceiptType: Choose if the receipt is an image or a URL.
	MISC	Display Name: Displays the name of the activity. You can also customize the activity name to help troubleshoot issues faster. This name will be used for logging purposes.
		SkipOnError: It specifies whether to continue executing the workflow even if it throws an error. This supports only Boolean value “True or False”. By default, it is set to “False.” True: Continues the workflow to the next step False: Stops the workflow and throws an error.
		Version: It specifies the version of the AzureAIFormRecogniser feature in use
	OUTPUT	OutputJson: This is not a mandatory field. However, to view the result of the analyzed layout, a variable must be created here, to view the result in an output box.
		Result: Declare a variable here to validate the activity. It accepts only Boolean value. This is not a mandatory field.

*Mandatory fields to execute the workflow

Use Case

The following activity illustrates on how we can use the analyze layout activity to
get the layout of any image. Here we use an image file and the path of the file is
mentioned in the input image path.

Steps to execute the bot

1.      Drag and drop an Azure AI Scope activity to the workflow

2.      Enter the account key and end point of your account.

3.      Drag and drop an analyze layout activity within the Azure AI Scope.

4.      Click on the activity.

5.      Enter the image path of the file that has the image to be processed.

6.      Select the input receipt type as file since we will be adding a file to the image path.

7.      Enter the declared variable in the outputjson box to view the analyzed layout.
Here it is BC.

8.      Drag and drop a writelog activity below the Azure AI Scope

9.      Enter the same variable entered above to the Input string. Here it is BC.

10.   Enter the log level as Info.

11.   The result is seen in the output box. To view the detailed result, click on logs, open
logs and see the detailed result of the same.

HOME -----> LOGS ------->OPEN LOGS ------> LOG INFO

The bot executes the workflow by analyzing the given image and displays the layout
of the image using the write log activity.