Automation library · Content

Translate YouTube video metadata into multiple languages

Started by an event in a connected app, and works across YouTube. It hands the judgement calls to OpenAI. 9 steps: a working afternoon to understand properly.

MediumCalls a model: OpenAI

9 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 3Logic 3Service 2

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

  1. 1Run workflowManual triggerStarts it
  2. 2OpenAI Chat ModelLm Chat Open AiModel
  3. 3Translation output parserOutput Parser StructuredModel
  4. 4ConfigurationSetLogic
  5. 5AI translatorAgentModel
  6. 6Fetch video informationYou TubeService
  7. 7Update video localizationHttp RequestService
  8. 8Prepare target languagesCodeLogic
  9. 9Build localization URLSetLogic

How it's built

Starts on
An event in a connected app
Steps
9
Size
Medium: a working afternoon
Connects to
YouTube
Model
OpenAI

Questions

What does it need to run?

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

What starts it?

It starts on an event in a connected app.

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. 9 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 9 steps before you point it at anything that matters.