n8n-nodes-nanonets

This is an n8n community node for Nanonets Document Extraction API.

Get 10,000 free credits when you sign up at docstrange.nanonets.com/app.

Features

Extract data from documents (PDFs, images) with high accuracy using Nanonets AI:

• Extract (Sync) - Synchronous document extraction
• Extract (Async) - Queue documents for asynchronous processing
• Extract (Batch) - Process up to 50 files in a single batch
• Classify (Sync) - Classify documents into categories
• Classify (Batch) - Classify multiple documents in a batch
• Chat Completion - OpenAI-compatible chat with document understanding
• Get Result - Retrieve results for async extractions
• List Results - List all recent extraction results

Output Formats

• Markdown - Clean markdown with tables and formatting
• JSON - Structured data with custom schemas or field lists
• CSV - Table data extraction

Input Support

• URL - Provide document URL
• Binary File - Use binary data from previous nodes
• Base64 - Provide file content as Base64 string

Additional Options

• Bounding boxes for coordinate data
• Confidence scores for extracted fields
• Custom instructions for specialized extraction
• Financial document optimization

Installation

Community Nodes (Recommended)

1. Go to Settings > Community Nodes in n8n
2. Select Install
3. Enter n8n-nodes-nanonets and click Install

Manual Installation

# In your n8n installation directory
cd ~/.n8n/nodes
npm install n8n-nodes-nanonets

Credentials

1. Sign up at docstrange.nanonets.com/app
2. Get your API key from the dashboard
3. In n8n, create new credentials for "Nanonets API"
4. Enter your API key

Usage Example

Basic Extraction

1. Add a Read Binary File node with your PDF
2. Add a Nanonets node
3. Set Operation to "Extract (Sync)"
4. Set Output Format to "Markdown" or "JSON"
5. Execute the workflow

JSON Extraction with Fields

1. Set Output Format to "JSON"
2. In Additional Fields > JSON Options, enter:
   • Field list: ["invoice_number", "date", "total_amount"]
   • Or use hierarchy_output for document structure

Resources

• Nanonets API Documentation
• n8n Community Nodes Docs

License

MIT