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WHISPERX
Word-level timestamps and speaker diarization for Whisper
BSD-2-Clause
ABOUT
Standard Whisper transcription provides segment-level timestamps without word-level precision, speaker identification, or robust voice activity detection — gaps that limit its use in production subtitle generation, meeting transcription, and accessibility workflows. WhisperX solves this by adding phoneme-based forced alignment for millisecond-precise word timestamps, speaker diarization through voice embedding clustering, and integrated VAD for silence detection, delivering production-ready, speaker-attributed transcripts with accurate word-level timing.
INSTALL
pip install whisperxINTEGRATION GUIDE
1. Generate precise word-level subtitles with speaker identification for video content
2. Transcribe multi-speaker meetings and conversations with accurate speaker diarization
3. Build accessibility tools requiring millisecond-accurate speech-to-text alignment
4. Process call center recordings with speaker attribution and silence-based segmentation
5. Create searchable transcripts with word-level timestamps for media archiving
TAGS
speech-recognitionaudiotranscriptiondiarizationasrwhisperalignmentsubtitles