Translate Telegram Audio Messages with AI (55 Languages)

AI-powered Telegram bot translates audio messages in 55 languages, detects spoken language, and responds with translated text and speech output.

n8n
Translate Telegram Audio Messages with AI (55 Languages)

This workflow powers a Telegram bot that seamlessly translates voice messages across language barriers. Users send audio in any of 55 supported languages, and the bot automatically detects the input language, transcribes it to text, translates it (default: English↔French), generates speech in the target language, and replies with both text and audio. It's ideal for international teams, customer support, or global communities needing real-time multilingual communication.

The process starts with a Telegram Trigger capturing voice messages. Audio is downloaded and processed via AI for speech-to-text transcription and language detection. An AI node handles translation based on customizable prompts, followed by text-to-speech conversion for natural-sounding output. The bot then sends back the translated text and audio file, ensuring a smooth, hands-free experience.

Setup is straightforward: create a Telegram bot via BotFather to get an API token, configure credentials in n8n, adjust languages in the Settings node, and activate the workflow. Benefits include time savings on manual translation, enhanced accessibility for non-English speakers, and scalability for high-volume chats. Use cases span business (multilingual support), education (language practice), and personal (travel communication). All 55 languages are supported via robust AI models.

$17.99
Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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