Generate AI document titles for Paperless-ngx with GPT-4o Mini

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1. Workflow Overview

What it does This template automatically generates a professional, structured title for newly ingested Paperless ngx documents using AI (OpenAI GPT), then removes a processing tag to mark the docum...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.guardrails, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.stopanderror, n8n-nodes-base.set, n8n-nodes-base.if

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Warren Gates.

Original n8n.io source

1.1 Workflow description

Title: Generate AI document titles for Paperless-ngx with GPT-4o Mini
Workflow name: Generate AI document titles for Paperless-ngx with GPT-4o Mini

What it does

This template automatically generates a professional, structured title for newly-ingested Paperless-ngx documents using AI (OpenAI GPT), then removes a processing tag to mark the document as handled.

How it works

A webhook fires when a document needs titling (e.g., from a Paperless post-consumption script)
The document URL is validated, then the OCR text is fetched from the Paperless API
All PII is scrubbed from the text using n8n's Guardrails node before sending to AI
GPT generates a title using the format: [YYYY-MM-DD] - [Document Type] - [Subject]
The specified processing tag is looked up and removed, then the document is updated

Requirements

An AI provider account, such as OpenAI, Anthropic, Gemini. As configured the template uses OpenAI, but any model should work.
A running Paperless-ngx instance that has network accessibility to your n8n server

How to use

Needs to be set up in conjunction with a running Paperless-ngx instance. See Paperless-ngx instructions here

Customization

Edit the system message in the AI Agent node (Generate Document Name) to change the document naming convention and other guidelines
Change the workflows on your Paperless-ngx instance to suit different needs.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Fetch Document Content

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 7 - Apply Document Guardrails

Type / Role: @n8n/n8n-nodes-langchain.guardrails - guardrails
Config choices: Version 2

Block 8 - Generate Title AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 9 - OpenAI GPT-4 Mini

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 10 - Interrupt on Invalid URL

Type / Role: n8n-nodes-base.stopAndError - stopAndError
Config choices: Version 1

Block 11 - Set URL Components

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 12 - Check URL Validity

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 13 - Fetch Removal Tag ID

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.4

Block 14 - Execute Tag Removal

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 15 - Terminate Process

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 16 - Apply Document Updates

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 17 - If Document Content Exists

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 18 - When Title Update Requested

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

3. Summary Table

Workflow	Generate AI document titles for Paperless-ngx with GPT-4o Mini
Complexity	advanced
Nodes	18
Categories	Document Extraction, AI Summarization
Author	Warren Gates
Published	27 Mar 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/14381/14381.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Generate AI document titles for Paperless-ngx with GPT-4o Mini do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Warren Gates

3 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.httprequest @n8n/n8n-nodes-langchain.guardrails @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.stopanderror n8n-nodes-base.set n8n-nodes-base.if

Complexity

advanced

Published 27 Mar 2026

Likes 0

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Install path: /data/workflows/14381/14381.json

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Generate AI document titles for Paperless-ngx with GPT-4o Mini

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What it does

How it works

Requirements

How to use

Customization

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note1

Block 3 - Sticky Note2

Block 4 - Sticky Note3

Block 5 - Sticky Note4

Block 6 - Fetch Document Content

Block 7 - Apply Document Guardrails

Block 8 - Generate Title AI Agent

Block 9 - OpenAI GPT-4 Mini

Block 10 - Interrupt on Invalid URL

Block 11 - Set URL Components

Block 12 - Check URL Validity

Block 13 - Fetch Removal Tag ID

Block 14 - Execute Tag Removal

Block 15 - Terminate Process

Block 16 - Apply Document Updates

Block 17 - If Document Content Exists

Block 18 - When Title Update Requested

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions