AI - Process Pay Stub (US)

Power Automate Connector: Encodian – General

Overview

The 'AI - Process Pay Stub (US)' Power Automate action utilizes artificial intelligence to process and extract meaningful information from the pay stub provided before returning as a simplified JSON dataset.

Supported document fields include: employee address, employee name, employee social security number, employer address, employer name, pay date, period start date, period end date, gross page, year to date gross pay, taxes, year to date taxes, deductions, year to date deductions, net pay and year to date net pay

Input File Types

The following file types are supported:

  • BMP
  • HEIC
  • JPEG
  • JPG
  • PDF
  • PNG
  • TIFF

Credit Count

The credit count is determined using the following calculation:

1 page = 1 credit, for example a 7-page PDF document would utilise 7 credits

Default Parameters

The default 'AI - Process Pay Stub (US)' flow action parameters are detailed below:

  • File Content: The Power Automate 'File Content' for the source file

Advanced Parameters

The advanced 'AI - Process Pay Stub (US)' flow action parameters are detailed below:

  • Date Format: Set the date format to apply to DateTime values present within the extracted data set. Formats should conform to standard Microsoft notation
  • Remove New Lines: Remove newlines in the data returned
  • Query Fields: A comma separated list of query fields to search for
  • Culture Name: Change the thread culture used to process the request

Return Parameters

The 'AI - Process Pay Stub (US)' flow action returns the following data. 

Action Specific Return Values

  • Result - The data extracted from the file as JSON

Standard Return Values

  • OperationId - The unique ID assigned to this operation.
  • HttpStatusCode - The HTTP Status code for the response.
  • HttpStatusMessage - The HTTP Status message for the response.
  • Errors - An array of error messages should an error occur.
  • Operation Status - Indicates whether the operation has been completed, has been queued or has failed.

Error Handling - 'The translation request has been throttled'

Potentially at times of peak load the following error could be generated:

"The processed file request has been throttled, please contact support@encodian.com"

This will result in delayed processing execution. For paying customers who have a 'Large' or higher subscription level, a dedicated processing endpoint can be requested via support@encodian.com to alleviate this restriction. 

Have more questions? Submit a request

0 Comments

Article is closed for comments.
Powered by Zendesk