Extract information from expense receipts, invoices, Canvas app for submission- approval
Azure AI's prebuilt model for invoice processing leverages advanced machine learning and artificial intelligence to streamline the extraction and processing of key information from invoices. This sophisticated tool is designed to handle a wide range of invoice formats and structures, automatically identifying and extracting crucial data such as vendor details, invoice numbers, dates, and line items. By automating these tasks, businesses can significantly reduce the time and effort required to process invoices, minimize errors, and ensure timely payments.
In this blog, we will explore the transformative impact of Azure AI's prebuilt invoice processing model. We'll dive into its features, how it works.
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So lets start the process by creating canvas app, I created one table "invoices" and built a simple canvas app to submit the expense receipts.
Trigger the flow when the new expense is submitted/added
To get the attached file from the submission use the action download the image
Now select the azure AI prebuilt model extract from the invoice
If we want to show the extract information in a format approver can read before approves it, to do this we need to do couple of steps.
Initialize the variable with the fields you want to populate
Now do the Append to string variable action
To put the information about the expenses back to user by email, I am creating HTML table. Getting the user details by using get my profile
Now initiate the approval process to approve the expenses.
Now based on the outcome, we will update the record and send the confirmation about approval/rejection.
As we are getting the values from AI in a certain format, we can write these values to other system with ease.
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