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Whisper-Flow is a framework designed to enable real-time transcription of audio content using OpenAI’s Whisper model.

Whisper-Flow is a framework designed to enable real-time transcription of audio content using OpenAI’s Whisper model. Rather than processing entire files after upload (“batch mode”), Whisper-Flow accepts a continuous stream of audio chunks and produces incremental transcripts immediately.

Whisper Flow on GitHub

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  • Multi-backend whisper app. Blazing fast. Mac-arm optimized. Easy install. Input a local file or url and this service will transcribe it using Whisper AI.

    1.4kPythonMITCLI
    5.4y ago
  • Mila — native macOS local transcription app (whisper.cpp) with optional speaker diarization. Apache-2.0.

    237SwiftApache-2.0macOSDesktop
    4mo ago
  • TypeWhisper for Windows - Local speech-to-text with translation

    224C#GPL-3.0WindowsDesktop
    8mo ago
  • Speech recognition module for Python, supporting several engines and APIs, online and offline.

    9kPythonBSD-3-Clause
    12.5y ago
  • an editor for spoken-word audio with automatic transcription

    1.9kTypeScriptAGPL-3.0
    5.1y ago
  • Local speech-to-text for macOS on-device AI, fully private, optional cloud

    1.8kSwiftGPL-3.0macOSDesktop
    8mo ago