Extract Text From Images & PDFs Using AI (n8n tutorial)
AI Summary
Overview
This video demonstrates how to create an AI agent that processes Telegram messages containing PDF invoices and image receipts, extracting relevant information and populating it into a Google Sheet.
Steps Covered:
- Setup and Testing
- Upload a PDF document and an image of a receipt to test the extraction process.
- The AI agent will process these documents and return line items, names, prices, and other necessary details.
- Workflow Structure
- Three workflows are created:
- Main AI Agent: Communicates with Telegram to send and retrieve messages.
- Image Processing: Handles image receipts.
- PDF Processing: Accepts PDF invoices.
- Trigger Setup
- Use Telegram as the communication method and setup triggers based on incoming messages.
- Connect the AI agent with the necessary credentials to enable message handling.
- Message Handling
- Configure the AI agent to respond to PDF and image messages by using OCR to parse data.
- Every line item extracted results in a row being created in the Google Sheet.
- Connecting to Google Sheets
- After processing, all extracted data from invoices and receipts is structured and sent to a Google Sheet.
- The users can define data fields to be populated, such as vendor name, line item description, and total cost.
- Final Testing
- Execute tests with both PDF and image file uploads to ensure proper data extraction and entry into the Google Sheet.
Additional Notes:
- The blueprints for the workflows are available for free. Users can import them easily to set up their own systems.
- This setup can be customized for various file types beyond just PDF invoices and receipts.