Transcribe Telegram Voice Messages with OpenAI Whisper

This workflow processes incoming Telegram messages via a Message Trigger node, using a Switch node to route text messages directly and voice messages for further processing. For voice inputs, it downloads the audio file and employs OpenAI's Whisper-1 model to generate accurate transcriptions. The resulting text—whether original or transcribed—is then sent back via a dedicated node.

Key benefits include seamless integration of Telegram bots with AI-powered speech-to-text, saving manual transcription time and enabling real-time communication handling. It's ideal for HR onboarding, where voice notes from new hires can be instantly transcribed for records, or operations teams managing quick audio updates.

Use cases span customer support bots that transcribe queries, meeting note automation in team chats, or extending to AI agents for analysis. Setup requires only a Telegram bot token and OpenAI API key, making it quick to deploy and scalable for complex AI applications.