Description

DeepTagger

n8n-nodes-deeptagger

This is an n8n community node that integrates DeepTagger into your n8n workflows. DeepTagger is an AI-powered document intelligence platform that automatically extracts structured data from documents like invoices, receipts, forms, and contracts.

n8n is a fair-code licensed workflow automation platform.

Installation
Operations
Credentials
Usage
Resources

What is DeepTagger?

DeepTagger uses machine learning to extract structured information from documents automatically. Instead of writing complex extraction rules, you simply annotate a few example documents, and DeepTagger learns to extract similar data from new documents. It's perfect for automating data entry from invoices, receipts, forms, contracts, and other business documents.

What does this node do?

The DeepTagger node allows you to:

• Extract structured data from documents (PDF, images, text) using pre-trained DeepTagger projects
• Process both files and text – upload documents or send text directly
• Return structured JSON – get clean, structured data ready for use in your workflows
• Automate document processing – integrate document intelligence into your automation workflows

Prerequisites

• An active DeepTagger account
• A DeepTagger API key (available in your account settings)
• At least one trained DeepTagger project with a Project ID

Installation

For n8n Cloud users

n8n Cloud users can install this node directly from the n8n interface once it has been verified by the n8n team.

For self-hosted n8n instances

Install the node using npm:

npm install n8n-nodes-deeptagger

Then restart your n8n instance. The DeepTagger node should now appear in your node list.

Alternatively, you can install it directly from the n8n interface by going to Settings > Community Nodes and entering n8n-nodes-deeptagger.

Credentials

To use this node, you'll need to configure your DeepTagger API credentials:

1. In n8n, click on Credentials in the left sidebar
2. Click New Credential
3. Search for and select DeepTagger API
4. Enter your credentials:
   • API Key: Your DeepTagger API key (find this in your DeepTagger account settings)
   • Base URL: Leave as default (https://deeptagger.com/api/v1) unless using a custom deployment
5. Click Save

Operations

Extract Data

Extracts structured data from a document or text using a trained DeepTagger project.

Parameters:

• Project ID (required): The ID of your DeepTagger project (e.g., fo_1759714105892)
  • Find your Project ID by browsing to https://deeptagger.com/das/fos and opening a project – the ID will be in the URL
• Input Type: Choose between File (default) or Text
  • File: Upload a document (PDF, image, etc.) from a binary property
  • Text: Send raw text for extraction
• Binary Property (for File input): Name of the binary property containing the file (default: data)
• Text (for Text input): The text content to extract data from
• Unwrap Response (default: true): Whether to return only the extracted data or the full API response
  • Enabled (default): Returns only the extracted data from the data field – clean, ready-to-use structured data
  • Disabled: Returns the complete API response including metadata like request ID, timestamp, etc.

Usage

Example 1: Extract Invoice Data from Uploaded Files

Workflow:

1. Webhook Trigger – Receive file upload
2. DeepTagger Node – Extract invoice data
   • Operation: Extract Data
   • Project ID: fo_1759714105892 (your invoice extraction project)
   • Input Type: File
   • Binary Property: data
3. Process Data – Use extracted fields (invoice number, total, date, etc.) in subsequent nodes

Use Case: Automatically extract invoice details from uploaded PDFs and save them to your accounting system or database.

Example 2: Extract Receipt Data from Email Attachments

Workflow:

1. Email Trigger – Monitor inbox for new emails with attachments
2. Filter – Only process emails with PDF or image attachments
3. DeepTagger Node – Extract receipt data
   • Project ID: Your receipt extraction project ID
   • Input Type: File
4. Spreadsheet Node – Add extracted data to Google Sheets or Airtable

Use Case: Process expense receipts sent via email and automatically log them in a spreadsheet.

Example 3: Extract Form Data from Text

Workflow:

1. Webhook Trigger – Receive form submission as text
2. DeepTagger Node – Extract structured fields
   • Operation: Extract Data
   • Project ID: Your form extraction project ID
   • Input Type: Text
   • Text: {{$json["formContent"]}}
3. CRM Node – Create or update contact with extracted data

Use Case: Parse unstructured form submissions and create structured records in your CRM.

Example 4: Batch Process Documents from Cloud Storage

Workflow:

1. Schedule Trigger – Run daily at midnight
2. Google Drive Node – List new PDFs in a specific folder
3. Loop Over Items
4. DeepTagger Node – Extract data from each document
5. Database Node – Insert extracted data
6. Google Drive Node – Move processed files to archive folder

Use Case: Automatically process new documents uploaded to a shared drive overnight.

Example 5: Extract Contract Details for Legal Review

Workflow:

1. Dropbox Trigger – Monitor contracts folder
2. DeepTagger Node – Extract key contract terms
   • Project ID: Your contract extraction project ID
   • Input Type: File
3. Slack Node – Send notification with extracted terms to legal team
4. Airtable Node – Create contract record with extracted metadata

Use Case: Automatically extract and catalog key terms from new contracts for review and tracking.

Troubleshooting

Error: "No API key found in request"

Solution: Make sure you've configured your DeepTagger API credentials correctly. The API key must be set in the credentials and properly selected in the node.

Error: "Project not found" or 404

Solution: Verify your Project ID is correct. You can find it in the URL when viewing your project at https://deeptagger.com/das/fos.

Node not appearing in n8n

Solution:

• Restart your n8n instance after installation
• Check that the package is installed: npm list n8n-nodes-deeptagger
• For n8n Cloud, wait for the node to be verified by the n8n team

Extraction results are not accurate

Solution:

• This node uses your trained DeepTagger projects. If results aren't accurate, you may need to:
  • Add more training examples in DeepTagger
  • Review and correct annotations in your project
  • Check that you're using the correct Project ID for the document type

Binary data / file upload issues

Solution:

• Ensure the previous node outputs binary data in the property you specified (default: data)
• Use the Move Binary Data node if needed to reorganize your binary properties
• Check that the file type is supported by your DeepTagger project

Resources

• DeepTagger Documentation
• DeepTagger Dashboard
• n8n Documentation
• n8n Community Forum

Support

For issues related to:

• This n8n node: Open an issue on GitHub
• DeepTagger API or platform: Contact support@deeptagger.com
• n8n platform: Visit the n8n community forum

License

MIT

Version History

0.1.7 (2025-01-06)

• Add Unwrap Response option to return clean extracted data by default
• Improve README documentation with centered logo and examples
• Add comprehensive troubleshooting section

0.1.0 (2025-01-06)

• Initial release
• Extract Data operation with file and text input support