DocRouter.AI
DocRouter.AI Documentation
Everything you need to set up tags, prompts, schemas, and integrations for AI-powered document processing.
Getting started
- How It Works — High-level workflow and concepts
- Quick Start Guide — Tag, prompt, upload in minutes
Core concepts
- Tags — Route documents to the right prompts
- Prompts — Instructions for data extraction
- Schemas — Structured output and validation
- Knowledge Bases — Context for better accuracy
- Knowledge Base Chat — Chat with your documents
- Document Agent — Configure schemas, tags, and prompts with AI
APIs & SDKs
- REST API — Upload, manage, and query programmatically
- Webhooks — Real-time events and workflows
- Workflows — N8N, Temporal, and automation
- Python SDK — Python client
- TypeScript SDK — TypeScript/Node client
Integrations
- Integrations — Overview of integration options
- N8N — Visual workflow automation
- Temporal — Durable workflow orchestration
- MCP Server — Use DocRouter from AI assistants
- Claude Code — DocRouter in Claude Code
- Cursor — DocRouter in Cursor
- GitHub Copilot — DocRouter in GitHub Copilot