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realtime-transcription-fastrtc is an open source tool for low-latency speech-to-text conversion using FastRTC and Whisper technologies

2025-08-25 1.4 K

realtime-transcription-fastrtc's technical architecture and advantages

realtime-transcription-fastrtc is an innovative tool that combines FastRTC real-time communication technology with the Whisper speech recognition model, a WebRTC implementation optimized for low-latency audio stream processing that keeps voice transmission latency down to milliseconds. At the same time, the project integrates locally deployed Whisper models, the highly efficient multilingual speech recognition system developed by OpenAI.

The specific technical realization is characterized by the following:

  • Audio processing flow: audio stream is captured by ffmpeg in real time, FastRTC handles the network transmission, and finally the Whisper model is used for speech recognition.
  • Localized Deployment: Supports completely offline operation, all data processing is done on the user's device side.
  • Flexible architecture: Whisper models of different sizes (from small to large-v3) can be selected according to needs

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