Voice translator bridge (Telegram → Slack) with GPT-4o-mini + Whisper

🧠 How it works

This workflow automatically transcribes and translates voice messages from Telegram to Slack, enabling seamless communication between Japanese and English speakers.

In our real-world use case, our distributed team often sends short voice updates on Telegram — but most discussion happens on Slack.
Before this workflow, we constantly asked:

• “Can someone write a summary of that voice message?”
• “I can’t understand what was said — is there a transcript?”
• “Can we translate this audio for our English-speaking teammates?”

This workflow fixes that problem without changing anyone’s communication habits.
Built with n8n, OpenAI Whisper, and GPT-4o-mini, it automatically:

• Detects when a voice message is posted on Telegram
• Downloads and transcribes it via Whisper
• Translates the text with GPT-4o-mini
• Posts the result in Slack — with flags 🇯🇵→🇺🇸 and username attribution

⚙️ Features

• 🎧 Voice-to-text transcription using OpenAI Whisper
• 🌐 Automatic JA ↔ EN detection and translation via GPT-4o-mini
• 💬 Clean Slack message formatting with flags, username, and original text
• 🔧 Easy to customize: adjust target languages, tone, or message style
• ⚡ Typical end-to-end time: under 10 seconds for short audio clips

💼 Use Cases

• Global teams – Send quick voice memos in Telegram and share readable translations in Slack
• Project coordination – Record updates while commuting and post bilingual notes automatically
• Remote check-ins – Replace daily written reports with spoken updates
• Cross-language collaboration – Let English and Japanese teammates stay perfectly synced

💡 Perfect for

• Bilingual creators and managers working across Japan and Southeast Asia
• AI automation enthusiasts who love connecting voice and chat platforms
• Teams using Telegram for fast communication and Slack for structured workspaces

🧩 Notes

• Requires three credentials:
  • TELEGRAM_BOT_TOKEN
  • OPENAI_API_KEY_HEADER
  • SLACK_BOT_TOKEN_HEADER
• Slack scopes: chat:write, files:write, channels:history
• You can change translation direction or add languages in the “Detect Language” → “Translate (OpenAI)” nodes.
• Keep audio files under 25 MB for Whisper processing.
• Always export your workflow with credentials OFF before sharing or publishing.

✨ Powered by

OpenAI Whisper × GPT-4o-mini × n8n × Telegram Bot API × Slack API
A complete multilingual voice-to-text bridge — connecting speech, translation, and collaboration across platforms. 🌍