This n8n workflow creates a powerful Telegram bot that enables real-time voice translation across 55 supported languages. It automates speech recognition, language detection, translation, and audio response, making it ideal for language learning, travel communication, or any multilingual interaction. The process begins with listening for voice messages via Telegram. These audio messages are then transcribed into text using OpenAI’s Whisper model. The workflow automatically detects the language of the transcribed text and translates it into a predefined target language. An audio response, speaking the translated text, is then sent back to the user, allowing seamless multilingual conversations. Multiple sticky notes provide helpful documentation within the workflow for understanding its capabilities and setup. This integration exemplifies advanced automation for multilingual communication, combining AI, speech recognition, and messaging automation.
AI-Powered Multilingual Telegram Voice Translator
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, set, stickyNote, telegram, telegramTrigger |
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