This n8n workflow automates the process of receiving voice messages via Telegram, converting them to text using Google Speech-to-Text, and managing user data efficiently. Starting with a Telegram trigger, it downloads the voice message, extracts audio, and then transcribes it through Google Speech. The workflow handles language preferences, caches user data for improved performance, and differentiates processing based on transcription success or failure. Additionally, it can respond to users with transcribed text and trigger further workflows for callbacks or demos. This setup is ideal for customer support, automated note-taking, or language learning systems that need instant voice-to-text conversion and user management.
Telegram Voice Notes Transcription and Workflow Automation
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chatTrigger, code, executeWorkflow, extractFromFile, if, n8n-nodes-google-speech.googleSpeech, postgres, redis, set, stickyNote, switch, telegram, telegramTrigger |
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