AI-Powered Invoice Data Extraction & Approval Workflow with ScrapeGraphAI & Telegram

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Built by vinci-king-01 vinci-king-01
Created on June 05, 2026

Description

How it works

This workflow automatically extracts data from invoice documents (PDFs and images) and processes them through a comprehensive validation and approval system.

Key Steps

Multi-Input Triggers - Accepts invoices via email attachments or direct file uploads through webhook.
AI-Powered Extraction - Uses ScrapeGraphAI to extract structured data from invoice documents.
Data Cleaning & Validation - Processes and validates extracted data against business rules.
Approval Workflow - Routes invoices requiring approval through a multi-stage approval process.
System Integration - Automatically sends validated invoices to your accounting system.

Set up steps

Setup time: 10-15 minutes

Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for invoice data extraction.
Set up Telegram connection - Connect your Telegram account for approval notifications.
Configure email trigger - Set up IMAP connection for processing emailed invoices.
Customize validation rules - Adjust business rules, amount thresholds, and vendor lists.
Set up accounting system integration - Configure the HTTP request node with your accounting system's API endpoint.
Test the workflow - Upload a sample invoice to verify the extraction and approval process.

Features

Multi-format support**: PDF, PNG, JPG, JPEG, TIFF, BMP
Intelligent validation**: Business rules, duplicate detection, amount thresholds
Approval automation**: Multi-stage approval workflow with role-based routing
Data quality scoring**: Confidence levels and completeness analysis
Audit trail**: Complete processing history and metadata tracking

Nodes Used (3)

Code
n8n-nodes-base.code
HTTP Request
n8n-nodes-base.httpRequest
Telegram
n8n-nodes-base.telegram