whisperX
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
WhisperX adds accurate word-level timestamps and speaker diarization on top of Whisper, ideal for subtitles and multi-speaker transcripts.
From the README
pip install whisperx
- ⚡️ Batched inference for 70x realtime transcription using whisper large-v2
- 🪶 faster-whisper backend, requires
- 🎯 Accurate word-level timestamps using wav2vec2 alignment
- 👯♂️ Multispeaker ASR using speaker diarization from pyannote-audio (speaker ID labels)
- 🗣️ VAD preprocessing, reduces hallucination & batching with no WER degradation
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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whisperX has 23.1k stars on GitHub. It has been forked 2.3k times. whisperX is written mainly in Python. It has been in active development since 2022. whisperX is available under the BSD-2-Clause license. Its main topics are asr, speech, speech-recognition, speech-to-text.
Read the full guideWhat is whisperX?
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Is whisperX open source?
whisperX is an open-source project. It is released under the BSD-2-Clause license.
Is whisperX free?
Yes. whisperX is free and open source — you can use, modify and self-host it.
What license does whisperX use?
whisperX is available under the BSD-2-Clause license.
What language is whisperX written in?
whisperX is written mainly in Python.
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