DocRouter Architecture Overview
DocRouter Architecture
Scalable document processing with AI-powered extraction
System Overview
DocRouter is built on a modern, cloud-native architecture designed for scalability, reliability, and ease of integration. The system processes documents through a multi-stage pipeline that combines OCR, AI analysis, and structured data extraction. DocRouter Flows adds a visual automation layer on top of that pipeline — a node-and-canvas editor, document-native nodes, and durable execution state.
Core Components
Document Ingestion
- Multi-format document support (PDF, images, Office docs)
- Secure file upload with encryption
- Automatic format detection and conversion
- Batch processing capabilities
OCR Processing
- Advanced optical character recognition
- Handwriting recognition support
- Multi-language text extraction
- Table and form structure detection
AI Analysis Engine
- Large language model integration
- Custom prompt engineering
- Schema-based data extraction
- Confidence scoring and validation
Integration Layer
- DocRouter Flows — built-in visual automation
- REST API for programmatic access
- Webhook notifications
- Third-party system integrations (n8n, Power Automate, Temporal)
- Real-time status updates
Deployment Options
ERP Integration
Direct integration with existing ERP and business systems
AI Tech Stack
Enabling component for AI-powered applications
Security & Compliance
Data Encryption
End-to-end encryption for documents in transit and at rest
Audit Trails
Comprehensive logging and audit trails for compliance
On-Premise Options
Self-hosted deployment for maximum data control. See the On-Prem Installation guide for AWS, IAM, and LLM setup.
Ready to Learn More?
Contact us to discuss architecture options and deployment strategies for your organization.