n8n Telegram Voice Transcription with Palatine Speech
n8n Telegram Voice Transcription with Palatine Speech
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n8n Telegram Voice Transcription with Palatine Speech
Regular price
£59.99
Regular price
£59.99
Sale price
Unit price
/
per
Turn Telegram voice notes into instant text replies—automatically
This n8n workflow listens to your Telegram bot for incoming messages, transcribes any voice note using Palatine Speech (palatine_large_highspeed), and sends the transcription back in the same chat. Regular text messages are echoed back—so your bot always responds.
What this workflow does
- Telegram Trigger: Starts when your Telegram bot receives a new message.
- Message type check: Uses a Switch step to determine whether the message contains a voice note or text.
- Voice note transcription: If the message is a voice note, the workflow downloads the audio from Telegram.
- Palatine Speech transcription: Sends the audio to Palatine Speech using the model palatine_large_highspeed, then waits for the transcription result.
- Reply in Telegram: Posts the transcription text back to the same Telegram chat.
- Text echo: If it’s a text message, it replies by echoing the same text back.
Use cases
- Instant voice-to-text support in Telegram, where users speak and receive readable transcripts right away.
- Hands-free updates for teams or SaaS ops—record voice notes and instantly capture the text.
- Quick testing and prototyping for n8n Telegram bots that need voice transcription.
- Operational logging setups (optional customization) by storing every transcript in Google Sheets or a database.
Technical details
- Telegram bot integration: Requires Telegram Bot API credentials (BotFather token) and a publicly reachable webhook.
- Palatine Speech integration: Uses the community node n8n-nodes-palatine-speech with Palatine Speech API credentials.
- n8n nodes used: Telegram Trigger, Switch, Telegram, plus a Sticky Note for guidance, and the Palatine Speech node.
Simple setup: Configure Telegram + Palatine Speech credentials, activate the workflow, then send a voice note to confirm it replies with the transcription.
