Watch Step By Step Video Tutorial Below





1. Accessing Pabbly Connect for Document Data Extraction

To start extracting data from any document using AI, you need to access Pabbly Connect. This platform allows seamless integration of various applications, enabling you to automate tasks efficiently. Begin by visiting the Pabbly Connect website and signing up for a free account, which offers 100 free tasks monthly.

Once logged in, you’ll see the dashboard where you can create a new workflow. This is crucial as it sets the stage for integrating Google Drive, AI document processing, and your target database like Google Sheets.

2. Creating a Workflow in Pabbly Connect

Creating a workflow in Pabbly Connect is straightforward. Click on the “Create Workflow” button and choose the “Quick Workflow Builder” option. Here, you will define the applications involved in your automation process.

  • Select Google Drive as the trigger application.
  • Set the trigger event to “New File in Specific Folder”.
  • Choose the folder where your documents will be uploaded.

After configuring the trigger, proceed to add actions. The next step will involve connecting to an AI service to extract data from the uploaded documents. This is where Pabbly Connect excels by facilitating communication between Google Drive and your chosen AI service.

3. Extracting Data Using AI in Pabbly Connect

Once your Google Drive is set up as a trigger, the next step is to connect to the AI service for data extraction. Use the “Add New Connection” option to link Pabbly Connect with your AI provider. Ensure you have the necessary API key for authentication.

After connecting, specify the document type you want to extract data from, such as PDF or image. You can set the action event to “Extract Content from PDF or Image”. This step is crucial as it determines how the data will be processed and structured.

  • Input the URL of the document for extraction.
  • Define the output format, typically JSON, for structured data.
  • Map the fields you want to extract, such as invoice number, date, and total amount.

This integration showcases how Pabbly Connect automates the extraction of data, reducing manual effort and increasing accuracy.

4. Adding Extracted Data to Google Sheets

After extracting data using AI, the final step is to send this data to Google Sheets. In Pabbly Connect, add another action step to connect to Google Sheets. Select the action event “Add New Row” to insert the extracted data into your spreadsheet.

Map the fields from the extracted data to the corresponding columns in your Google Sheets. This ensures that each piece of data is organized correctly. For instance, map the invoice number to the appropriate column, followed by customer details and total amount.

Finally, test the workflow to ensure that the data flows seamlessly from Google Drive through the AI extraction process into Google Sheets. This demonstrates the power of Pabbly Connect in automating data management tasks.

5. Conclusion

In this tutorial, we explored how to extract data from any document using AI with the help of Pabbly Connect. By integrating Google Drive, AI services, and Google Sheets, you can automate data extraction and management efficiently. This process eliminates manual data entry, saving time and reducing errors.

Utilizing Pabbly Connect not only streamlines your workflow but also enhances productivity. Now, you can focus on more important tasks while the automation handles data extraction and organization for you.