Package Information
Available Nodes
Documentation
n8n-nodes-docutray
This is an n8n community node package that provides seamless integration with Docutray, a powerful document processing and OCR service. It includes a unified node with organized resource groups to automate document processing and knowledge base search workflows directly within your n8n automations.
Features
- Document OCR: Extract text from images and PDFs using advanced OCR technology
- Document Type Identification: Automatically identify document types with confidence scores
- Knowledge Base Search: RAG-based semantic search in knowledge bases for intelligent information retrieval
- Dynamic Knowledge Base Selector: Dropdown selection from available knowledge bases with metadata
- Multiple Input Methods: Support for file uploads, Base64 encoded images, and image URLs
- Wide Format Support: JPEG, PNG, GIF, BMP, WebP, and PDF files (up to 100MB)
Installation
Follow the n8n community nodes installation guide to install this package in your n8n instance.
Credentials
To use this node, you'll need a Docutray API key:
- Sign up for a Docutray account
- Navigate to your API settings in the dashboard
- Generate an API key
- Configure the "Docutray API" credentials in n8n with your API key
Available Node
This package includes a unified Docutray node with organized resource groups:
Docutray Node
A comprehensive node that provides access to all Docutray services through organized resource groups. Users first select a resource type, then choose from available operations for that resource.
Document Resource
Handles document OCR and type identification operations.
Convert Operation
Extract text from documents using OCR technology.
Supported Methods:
- Upload file directly
- Provide Base64 encoded image
- Specify image URL for automatic download
Parameters:
- Document type code (required)
- Image content type (optional)
- Document metadata (optional)
Identify Operation
Automatically identify document types from a list of options.
Supported Methods:
- Upload file directly
- Provide Base64 encoded image
- Specify image URL for automatic download
Parameters:
- Document type code options (array of possible document types)
- Document metadata (optional)
Response includes:
- Primary document type with confidence score
- Alternative document type suggestions
Knowledge Base Resource
Handles semantic search operations within knowledge bases using RAG technology.
Search Operation
Perform semantic search within knowledge bases using RAG technology.
Parameters:
- Knowledge Base Name or ID (required) - Select from dropdown or enter ID manually
- Query (required) - Search query text (max 1000 characters)
- Limit (optional) - Maximum number of results (1-50, default: 50)
- Similarity Threshold (optional) - Minimum similarity threshold (0-1, default: 0.7)
- Include Metadata (optional) - Whether to include metadata in results (default: true)
Features:
- Dynamic knowledge base selector with dropdown showing available bases
- Displays knowledge base name, description, and document count
- Fallback to manual ID entry if API is unavailable
Response includes:
- Semantic search results with relevance scores
- Document excerpts and content snippets
- Optional metadata for each result
Compatibility
This node has been tested with n8n version 1.94.0 and newer.