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

n8nn8n14 modulesv1.0
SlackOpenAITelegram

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?”

At a glance

Voice translator bridge (Telegram → Slack) with GPT-4o-mini + Whisper is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects Slack, OpenAI, Telegram. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
Slack, OpenAI, Telegram
Modules
14
Price
Free
Version
v1.0
Voice translator bridge (Telegram → Slack) with GPT-4o-mini + Whisper workflow diagram

About this workflow

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: - TELEGRAMBOTTOKEN - OPENAIAPIKEYHEADER - SLACKBOTTOKENHEADER - 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. 🌍

n8n

How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

Setup guide

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