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Send a voice note on Telegram to generate a professional email with ChatGPT

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Created by: Baptiste Fort || baptistefort

Baptiste Fort

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Last update 11 days ago

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Telegram Voice Message → Automatic Email

baptistefortn8nautomationtelegramaudio.png

Imagine: What if you could turn a simple Telegram voice message into a professional email—without typing, copying, pasting, or even opening Gmail?

This workflow does it all for you: just record a voice note, and it will transcribe, format, and write a clean HTML email, then send it to the right person—all by itself.

Prerequisites

  • Create a Telegram bot (via BotFather) and get the token.
  • Have an OpenAI account (API key for Whisper and GPT-4).
  • Set up a Gmail account with OAuth2.
  • Import the JSON template into your automation platform.

🧩 Detailed Flow Architecture

1. Telegram Trigger

workflown8ntelegramvoicebaptistefort.png

Node: Telegram Trigger
This node listens to all Message events received by the specified bot (e.g., “BOT OFFICIEL BAPTISTE”).
Whenever a user sends a voice message, the trigger fires automatically.

⚠️ Only one Telegram trigger per bot is possible (API limitation).

Key parameter:

  • Trigger On: Message

2. Wait

Node: Wait
Used to buffer or smooth out calls to avoid collisions if you receive several voice messages in a row.

3. Retrieve the Audio File

workflowbaptistefortemailtelegramaudio.png

Node: Get a file

  • Type: Telegram (resource: file)
  • Parameter:
    • fileId = {{$json["message"]["voice"]["file_id"]}}
      This node fetches the voice file from Telegram received in step 1

4. Automatic Transcription (Whisper)

baptistefortn8ntranscriptiontelegramvoice.png

Node: Transcribe a recording

  • Resource: audio
  • Operation: transcribe
  • API Key: Your OpenAI account
    The audio file is sent to OpenAI Whisper: the output is clean, accurate text ready to be processed.

5. Optional Wait (Wait1)

Node: Wait1
Same purpose as step 2: useful if you want to buffer or add a delay to absorb processing time.

6. Structured Email Generation (GPT-4 + Output Parser)

Node: AI Agent
This is the core of the flow:

  • The transcribed text is sent to GPT-4 (or GPT-4.1-mini here, via OpenAI Chat Model)

  • Prompt used:

    You are an assistant specialized in writing professional emails.
    
    Based on the text below, you must: {{ $json.text }}
    
    1. Detect if there is a recipient's email address in the text (or something similar like "send to fort.baptiste.pro")
       - If it’s not a complete address, complete it by assuming it ends with `@gmail.com`.
    2. Understand the user's intent (resignation, refusal, application, excuse, request, etc.)
    3. Generate a relevant and concise email subject, faithful to the content
    4. Write a professional message, structured in HTML:
       - With a polite tone, adapted to the situation
       - Formatted with HTML tags (`<p>`, `<br>`, etc.)
       - No spelling mistakes in French
       - My first name is jeremy and if the text says he is not happy, specify the wish to resign
    
    

⚠️ You must always return your answer in the following strict JSON format, with no extra text:
```

```json
{
  "email": "[email protected]",
  "subject": "Objet de l’email",
  "body": "<p>Contenu HTML de l’email</p>"
}
```

Everything is strictly validated and formatted with the Structured Output Parser node.

7. Automatic Email Sending (Gmail)

Node: Send a message

  • To: {{$json.output.email}}
  • Subject: {{$json.output.subject}}
  • HTML Body: {{$json.output.body}}
    This node takes the JSON structure returned by the AI and sends the email via Gmail, to the right recipient, with the correct subject and full HTML formatting.

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