AI-Powered Invoice Data Extraction & Approval Workflow with ScrapeGraphAI & Telegram
Last edited 58 days ago
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
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