# Generate AI document titles for Paperless-ngx with OpenAI: n8n workflow

> Started by another system calling it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenAI.

Source: https://millionrounds.com/workflow/generate-ai-document-titles-for-paperless-ngx-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Documents and files](https://millionrounds.com/workflows?category=Documents+and+files#library)

# Generate AI document titles for Paperless-ngx with OpenAI

Started by another system calling it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenAI. 13 steps, 2 branches: a working afternoon to understand properly.

Medium Calls a model: OpenAI

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fgenerate-ai-document-titles-for-paperless-ngx-with-openai)

**13 steps** Medium: a working afternoon

**2** Branches: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 1 Model 3 Logic 6 Service 3

The steps in the order they run, from what starts it.

- 1 **OpenAI GPT-4 Mini** Lm Chat Open Ai *Model*
- 2 **When Title Update Requested** Webhook *Starts it*
- 3 **Generate Title AI Agent** Agent *Model*
- 4 **Check URL Validity** If *Logic*
- 5 **Fetch Removal Tag ID** Http Request *Service*
- 6 **Set URL Components** Set *Logic*
- 7 **Interrupt on Invalid URL** Stop And Error *Logic*
- 8 **Execute Tag Removal** Code *Logic*
- 9 **Fetch Document Content** Http Request *Service*
- 10 **Apply Document Updates** Http Request *Service*
- 11 **If Document Content Exists** If *Logic*
- 12 **Apply Document Guardrails** Guardrails *Model*
- 13 **Terminate Process** No Op *Logic*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 13, with 2 branches
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenAI

## Questions

What does it need to run?

An n8n account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 13 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 13 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fgenerate-ai-document-titles-for-paperless-ngx-with-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Workflows like it

Also documents and files, with the same services where possible, closest in size first.

- [**Automate multi-language text translation with OpenAI** 13 steps · calls a model · Google Drive](https://millionrounds.com/workflow/automate-multi-language-text-translation-with-openai)
- [**Automate n8n workflow documentation with Gemini and Telegram** 13 steps · calls a model · Telegram](https://millionrounds.com/workflow/automate-n8n-workflow-documentation-with-gemini-and-telegram)
- [**Build a PDF Q&A system with LlamaIndex and OpenAI** 13 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/build-a-pdf-q-and-a-system-with-llamaindex-and-openai)
- [**Build a document QA system with RAG and Milvus** 13 steps · calls a model · Google Drive](https://millionrounds.com/workflow/build-a-document-qa-system-with-rag-and-milvus)
- [**Build a retrieval-based chatbot with Telegram and OpenAI** 13 steps · calls a model · Google Drive, Telegram](https://millionrounds.com/workflow/build-a-retrieval-based-chatbot-with-telegram-and-openai)
- [**Create long-form documents from simple titles with OpenAI** 13 steps · calls a model · Google Docs](https://millionrounds.com/workflow/create-long-form-documents-from-simple-titles-with-openai)