Transcribe voice messages from Telegram using OpenAI Whisper-1

This n8n workflow processes incoming Telegram messages, differentiating between text and voice messages.

How it works:

1. Message Trigger: The workflow initiates when a new message is received via the Telegram "Message Trigger" node.
2. Switch Node: This node acts as a router. It examines the incoming message:
   • If the message is text, it directs the flow along the "text" branch.
   • If the message contains voice, it directs the flow along the "voice" branch.
3. Get Audio File: For audio messages, this node downloads the audio file from Telegram.
4. Transcribe Audio: The downloaded audio file is then sent to an "OpenAI Transcribe Recording" node, which uses OpenAI's whisper-1 speech-to-text model to convert the audio into a text transcript.
5. Send Transcription Message: Regardless of whether the original message was text or transcribed audio, the final text content is then passed to a "Send transcription message" node.

Setup Requirements:

• Telegram Bot Token: You will need a Telegram bot token configured in the "Message Trigger" node to receive messages.
• OpenAI API Key: An OpenAI API key is required for the "Transcribe audio" node to perform speech transcription.

Additional Notes:

This workflow provides a foundational step for building more complex AI-driven applications. The transcribed text or original text message can be easily piped into an AI agent (e.g., a large language model) for analysis, response generation, or interaction with other tools, extending the bot's capabilities beyond simple message reception and transcription.

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