Telegram Voice AI Assistant: Deepgram + OpenAI + Supabase
AI-powered voice assistant for Telegram that transcribes voice messages with Deepgram, processes queries via OpenAI with Supabase knowledge base, and responds with natural TTS audio.
This n8n workflow creates a full voice-to-voice AI assistant integrated with Telegram. It receives voice messages from users via a Telegram bot, downloads the audio files, and uses Deepgram's speech-to-text (STT) for accurate transcription, even supporting multiple languages and accents.
The transcribed text is then fed into an OpenAI GPT agent that accesses a Supabase knowledge base for contextual, intelligent responses. Conversation memory is maintained to ensure coherent, ongoing interactions. The AI-generated response is converted back to natural-sounding speech using Deepgram's text-to-speech (TTS), and the audio file is sent directly back to the user in Telegram.
Ideal for businesses needing 24/7 voice customer support, accessibility services, multilingual chatbots, or hands-free assistance. Benefits include breaking language barriers, reducing typing needs, providing instant responses, and scaling support without human agents. Perfect for customer service, content creators, and organizations focused on voice interactions.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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