Automate Loan Agreement Data Extraction from PDFs Using Pabbly Connect

Learn how to automate loan agreement data extraction from PDFs using Pabbly Connect, Google Drive, and AI agents. Step-by-step tutorial included. Learn to create powerful connections between your critical applications without requiring specialized programming knowledge or extensive technical background.

Watch Step By Step Video Tutorial Below

1. Accessing Pabbly Connect for Automation

To automate loan agreement data extraction from PDFs, you first need to access Pabbly Connect. Start by visiting the official Pabbly Connect website and signing in to your account. If you are a new user, you can sign up for free and receive 100 free tasks every month.

After logging in, you will see various Pabbly applications. Click on the ‘Access Now’ button for Pabbly Connect to enter the dashboard where you will create a new workflow for your automation process.

2. Creating a Workflow in Pabbly Connect

In Pabbly Connect, the next step is to create a workflow for automating the loan data extraction. Click on the ‘Create Workflow’ button in the top right corner. A dialog box will appear asking for the workflow name and folder selection.

• Name your workflow: ‘Automate Loan Agreement Data Extraction from PDFs Using AI Agents’.
• Select a folder to save the workflow, e.g., ‘AI Agent Automations’.

After entering the name and selecting the folder, click on the ‘Create’ button. This will set up your workflow, which consists of a trigger and an action step.

3. Setting Up the Trigger in Pabbly Connect

The next step in Pabbly Connect is to set up the trigger for your workflow. Since you will be uploading loan agreements to Google Drive, select ‘Google Drive’ as the trigger application. The trigger event should be set to ‘New File in Specific Folder’.

After selecting Google Drive, click on the ‘Connect’ button. You will need to authorize Pabbly Connect to access your Google Drive account. Once authorized, select the folder where the loan agreements are stored. Ensure that this folder is accessible to the AI agent to extract data from the PDFs.

4. Extracting Data from PDFs Using AI Agents

With the trigger set up, the next action is to extract data from the uploaded PDFs using an AI agent. For this, choose ‘OpenAI’ as the action application in Pabbly Connect and select the ‘Extract Content from PDF’ event.

Click on the ‘Connect’ button and enter your OpenAI API token to establish the connection. Map the PDF link from the previous step as the input for the AI agent. You can set up structured output for specific data points like borrower name, lender name, loan amount, interest rate, and repayment date.

• Define the prompt for the AI agent to extract the required information.
• Use structured output to get data in JSON format.

After configuring the extraction settings, click on the ‘Save and Send Test Request’ button to test the AI agent. The extracted data will be displayed in the response.

5. Recording Extracted Data in Google Sheets

Finally, to keep a systematic record of the extracted loan agreement data, you need to add another action step in Pabbly Connect. Select ‘Google Sheets’ as the action application and choose the ‘Add New Row’ event.

Connect to your Google Sheets account and select the spreadsheet where you want to store the data. You will need to map the fields from the extraction step to the columns in your Google Sheets, including borrower name, lender name, loan amount, and other relevant details.

After mapping all required fields, click on the ‘Save and Send Test Request’ button to send the data to Google Sheets. You can then verify that the data has been successfully recorded in your spreadsheet.

Conclusion

In this tutorial, you learned how to automate loan agreement data extraction from PDFs using Pabbly Connect. By integrating Google Drive, OpenAI, and Google Sheets, you can streamline your workflow and save time on manual data entry. This automation enhances efficiency and accuracy in handling loan agreements.