Automation library · Documents and files

Voice translator bridge (Telegram Slack) with OpenAI

Started by an incoming Telegram message, and works across Telegram. It hands the judgement calls to OpenAI. 14 steps, 1 branch: a working afternoon to understand properly.

MediumCalls a model: OpenAI

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

The flow

Starts it 1Model 1Logic 8Service 4

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

  1. 1Telegram TriggerTelegram triggerStarts it
  2. 2Is Voice?IfLogic
  3. 3Get File IDSetLogic
  4. 4Add Bot TokenSetLogic
  5. 5Telegram getFileHttp RequestService
  6. 6Build File URLFunctionLogic
  7. 7Download Voice FileHttp RequestService
  8. 8Prepare Whisper Input1CodeLogic
  9. 9Transcribe a recordingOpen AiModel
  10. 10Extract TranscriptSetLogic
  11. 11Detect LanguageFunctionLogic
  12. 12Translate (OpenAI)Http RequestService
  13. 13Build Slack MessageFunctionLogic
  14. 14Post to SlackHttp RequestService

How it's built

Starts on
An incoming Telegram message
Steps
14, with 1 branch
Size
Medium: a working afternoon
Connects to
Telegram
Model
OpenAI

Questions

What does it need to run?

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

What starts it?

It starts on an incoming Telegram message.

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. 14 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 14 steps before you point it at anything that matters.