Transcribe Telegram Voice Messages Using OpenAI Whisper
This n8n workflow automatically transcribes voice messages received on Telegram using OpenAI's Whisper model, enhancing message accessibility and usability.
This workflow is designed to handle incoming Telegram messages by distinguishing between text and voice messages. When a voice message is received, it downloads the audio file and utilizes OpenAI's Whisper model to transcribe the audio into text. The resulting transcription, or the original text message, is then sent back to the Telegram chat. This setup is ideal for users looking to integrate AI-driven transcription into their Telegram interactions, enabling further processing or analysis of me
- Platform
- n8n
- Category
- AI
- Price
- $4.99
- Creator
- Eli Brooks
- switch
- telegram
- telegramTrigger
- openAi
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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