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

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Created by: vinci-king-01 || vinci-king-01

vinci-king-01

Last update

Last update 3 days ago

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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

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

Set up steps

Setup time: 10-15 minutes

  1. Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for invoice data extraction.
  2. Set up Telegram connection - Connect your Telegram account for approval notifications.
  3. Configure email trigger - Set up IMAP connection for processing emailed invoices.
  4. Customize validation rules - Adjust business rules, amount thresholds, and vendor lists.
  5. Set up accounting system integration - Configure the HTTP request node with your accounting system's API endpoint.
  6. 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