Automation library · Documents and files

Transcribe voice messages and classify intent

Started by an event in a connected app. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenAI. 12 steps, 1 branch: a working afternoon to understand properly.

MediumCalls a model: OpenAI

12 stepsMedium: a working afternoon
1Branch: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 1Model 2Logic 8Service 1

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

  1. 1When clicking ‘Execute workflow’Manual triggerStarts it
  2. 2Sample Audio (JFK)SetLogic
  3. 3Download AudioHttp RequestService
  4. 4Whisper Transcription1Open AiModel
  5. 5Edit FieldsSetLogic
  6. 6Intent ClassifierOpen AiModel
  7. 7Extract IntentSetLogic
  8. 8Route by IntentSwitchLogic
  9. 9Response - GreetingSetLogic
  10. 10Response - QuestionSetLogic
  11. 11Response - RequestSetLogic
  12. 12Response - OthersSetLogic

How it's built

Starts on
An event in a connected app
Steps
12, with 1 branch
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 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. 12 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 12 steps before you point it at anything that matters.