Block 1 - Buffer Delay (Pre-Processing)
- Type / Role
- n8n-nodes-base.wait - wait
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
Telegram Voice Message → Automatic Email Imagine: What if you could turn a simple Telegram voice message into a professional email—without...
n8n-nodes-base.wait, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.openai, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.gmail, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Baptiste Fort.
Original n8n.io sourceImagine: 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.
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: MessageNode: Wait
Used to buffer or smooth out calls to avoid collisions if you receive several voice messages in a row.
Node: Get a file
file)fileId = {{$json["message"]["voice"]["file_id"]}}Node: Transcribe a recording
Node: Wait1
Same purpose as step 2: useful if you want to buffer or add a delay to absorb processing time.
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: {{ $json.text }}
1. Detect if there is a recipient's email address in the text (or something similar like "send to fort.baptiste.pro")
- If it’s not a complete address, complete it by assuming it ends with `@gmail.com`.
2. Understand the user's intent (resignation, refusal, application, excuse, request, etc.)
3. Generate a relevant and concise email subject, faithful to the content
4. Write a professional message, structured in HTML:
- With a polite tone, adapted to the situation
- Formatted with HTML tags (`<p>`, `<br>`, etc.)
- No spelling mistakes in French
- My first name is jeremy and if the text says he is not happy, specify the wish to resign
⚠️ You must always return your answer in the following strict JSON format, with no extra text: ```
```json
{
"email": "[email protected]",
"subject": "Objet de l’email",
"body": "<p>Contenu HTML de l’email</p>"
}
```
Everything is strictly validated and formatted with the Structured Output Parser node.
Node: Send a message
{{$json.output.email}}{{$json.output.subject}}{{$json.output.body}}If you want to automate manual tasks, visit our French Agence automatisation 0vni.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Send a voice note on Telegram to generate a professional email with ChatGPT |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | Personal Productivity, Multimodal AI |
| Author | Baptiste Fort |
| Published | 06 Aug 2025 |
Use the JSON export at /data/workflows/7041/7041.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Telegram Voice Message → Automatic Email Imagine: What if you could turn a simple Telegram voice message into a professional email—without...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, Multimodal AI use case.