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<h1 align="center">WhisperLiveKit</h1>
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<h1 align="center">WLK</h1>
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<p align="center"><b>WhisperLiveKit: Ultra-low-latency, self-hosted speech-to-text with speaker identification</b></p>
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<p align="center">
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<img src="https://raw.githubusercontent.com/QuentinFuxa/WhisperLiveKit/refs/heads/main/demo.png" alt="WhisperLiveKit Demo" width="730">
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</p>
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<p align="center"><b>Real-time, Fully Local Speech-to-Text with Speaker Identification</b></p>
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<p align="center">
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<a href="https://pypi.org/project/whisperlivekit/"><img alt="PyPI Version" src="https://img.shields.io/pypi/v/whisperlivekit?color=g"></a>
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</p>
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Real-time transcription directly to your browser, with a ready-to-use backend+server and a simple frontend.
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#### Powered by Leading Research:
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- Simul-[Whisper](https://arxiv.org/pdf/2406.10052)/[Streaming](https://arxiv.org/abs/2506.17077) (SOTA 2025) - Ultra-low latency transcription using [AlignAtt policy](https://arxiv.org/pdf/2305.11408)
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