Automation library · Documents and files

Automate multi-language text translation with OpenAI

Started by an event in a connected app, and works across Google Drive. It hands the judgement calls to OpenAI. 13 steps, 1 loop or waits: a working afternoon to understand properly.

MediumCalls a model: OpenAI

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

The flow

Starts it 1Model 4Logic 5Service 3

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

  1. 1When clicking ‘Test workflow’Manual triggerStarts it
  2. 2jsonOutput Parser StructuredModel
  3. 3OpenAI Chat ModelLm Chat Open AiModel
  4. 4$INPUTS$SetLogic
  5. 5identify the languageAgentModel
  6. 6AI AgentAgentModel
  7. 7create project folderGoogle DriveService
  8. 8set languagesSetLogic
  9. 9write translationsGoogle DriveService
  10. 10save originalGoogle DriveService
  11. 11split out languagesSplit OutLogic
  12. 12Loop Over ItemsSplit In BatchesLogic
  13. 13output folder urlSetLogic

How it's built

Starts on
An event in a connected app
Steps
13, 1 loop or waits
Size
Medium: a working afternoon
Connects to
Google Drive
Model
OpenAI

Questions

What does it need to run?

An n8n account, plus your own Google Drive 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. 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.