AI-Powered Invoice Extractor via Telegram to Airtable

📄 Description

This workflow automates the extraction of structured invoice data from PDF files sent via Telegram and stores it in Airtable. It leverages GPT-4o for intelligent parsing and includes conversational memory for a seamless user experience. Designed for businesses and freelancers who receive invoices digitally and want to streamline their record-keeping.

⚙️ How It Works

Telegram Trigger – Listens for incoming messages and PDF attachments.
Switch Node – Filters messages to ensure only PDFs are processed.
Extract from File – Parses the PDF content for text extraction.
Edit Fields – Prepares the extracted data for AI processing.
AI Agent (GPT-4o) – Orchestrates the workflow, prompts the user for missing info, and extracts structured data.
Simple Memory – Maintains conversational context across sessions.
Create Invoice (Airtable Tool) – Creates a new invoice record in Airtable.
Create Line Item (Airtable Tool) – Adds individual line items linked to the invoice.
Telegram Response – Sends confirmation back to the user.

🔐 Required Credentials

To run this workflow successfully, you’ll need:

Telegram Bot Token** (via @BotFather)
OpenAI API Key** (with GPT-4o access)
Airtable API Key** and access to:
Base: Invoice Tracker Proper
Tables: Invoices and Line Items

🧰 Airtable Structure

Invoices Table Fields: Invoice Number
Date
Supplier
Supplier Address
Tax ID
PO Number
Due Date
Receiver Name
Receiver Address
Delivery Date
Total Tax
Total Amount

Line Items Table Fields: Product Code
Description
Unit Price
Quantity
Unit Type
Sub Total
Invoice (linked)

🧠 Features

AI-powered invoice parsing
PDF text extraction
Airtable record creation with relational linking
Telegram-based user interaction
Conversational memory
Error handling and data validation