Invoice data extraction, when done manually, can be incredibly draining. Copy-pasting routines from PDF invoices to Excel sheets or somewhere else can often eat up your valuable hours. Every business, whether small or large, is affected by manual invoice processing.
But what if you could bid adieu to these time-consuming tasks and let smart data extraction tools take the job?
Curious how? There are many techniques and tools that require just a simple setup, and everything afterward is almost fully automated.
What’s the best part? You don’t need to be a developer to make it work. Some of these tools are Azure AI, Zapier, and ChatGPT, which we are going to discuss in this blog post.
Let’s have a short overview of each tool.
Before we build the automation, let’s get to know the team behind the magic:
Azure AI has a Form Recognizer, which scans your invoices in any form – PDFs, images, or scanned documents. And automatically extracts key details like invoice number, dates, amounts, line items, and vendor info.
Whether you are using prebuilt models or training it on your custom invoice format, Form Recognizer is accurate, flexible, and gets smarter with every scan.
Microsoft Azure
Starting Price
Price on Request
Zapier is no-code automation platform that connects over 6,000 apps – Google Sheets, Dropbox,Gmail, ChatGPT, etc.
In this workflow, Zapier acts as the dispatcher: it receives extracted invoice data and routes it wherever you need – spreadsheets, databases, Slack, or your accounting software. No coding is required!
Once the data is flowing, ChatGPT adds the intelligence layer. It can:
You can trigger ChatGPT via Zapier or call it using OpenAI’s API, depending on how advanced your setup needs to be.
Zapier
Starting Price
₹ 2540.12 excl. GST
Now comes the brainy part.
Once your data is extracted, ChatGPT can step in to add context, clean it up, or turn raw values into helpful summaries. Want to automatically generate a quick invoice summary? Spot errors? Format messy line items?
You can call it in via Zapier or use OpenAI’s API directly, depending on how fancy you want to get.
Together, these tools give you structured data you can actually use. Let’s move on to the guide now.
ChatGPT
Starting Price
$ 20.00
Create two folders on Google Drive:
Automating the process of extracting data from invoices using Azure AI can save your organization significant time and reduce errors. This guide walks you through each step required to set up an automated invoice data extraction system using Azure AI, Outlook, SharePoint, and Power Automate.
Create a Shared Inbox: Set up a shared inbox (e.g., OCR@YourCompany.com) for receiving invoices from vendors. You can use Outlook or any other email service.
Set Up Email Rules:
Log into Azure Portal: Access the Azure portal and navigate to Document Intelligence Studio.
Choose a Pre-Built Invoice Model:
Azure AI offers a pre-built invoice model that uses OCR to extract data from invoices. This model is flexible and not dependent on specific invoice templates.
Test with Sample Invoices:
Upload a sample invoice file into Document Intelligence Studio to test how well the AI extracts the relevant data (such as vendor name, invoice number, amount, tax, etc.).
Create a Document Library in SharePoint:
In SharePoint, create a new document library where invoices and metadata will be stored.
Add Custom Metadata Columns:
Power Automate will tie everything together. Follow these steps to create a simple workflow that automatically processes and saves invoice data.
Design a New Flow:
Initiate a new flow within Power Automate for the invoice extraction process.
Set the Trigger (When a New Email Arrives):
Set the trigger to activate when a new email is received in the folder where your invoices are stored (e.g., the OCR Dynamic Point folder in Outlook).
Add Action to Extract Invoice Data Using Azure AI:
Store the Invoice in SharePoint:
Update Document Metadata:
Send a Test Invoice:
Send a test email with an invoice to the alias (e.g., OCR@YourCompany.com) to trigger the workflow.
Check the Workflow Execution:
Verify the Results in SharePoint:
Add More Fields: You can expand the number of fields captured by Azure AI (e.g., adding tax rates, invoice description, etc.) and map them to new SharePoint columns.
Set Up Approval Process: If necessary, you can add approval steps to your workflow, where invoices need to be reviewed and approved before moving forward.
Conclusion
No one wants to manually sort stacks of invoices. With automated invoice data extraction with tools like Azure AI, Zapier, and ChatGPT, you can finally avoid data entry.
You can extract invoice data from a PDF to convert it into structured text. This workflow transforms your chaotic inbox into clean, actionable spreadsheets.
So go ahead! Try building your own automation using Azure AI, Zapier & ChatGPT. The next time an invoice lands in your inbox, your system will already be working in the background, extracting, formatting, and filing it away.
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