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Open weightsMax Bain / community/10 trustVerified
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WhisperX

Word-level timestamps and speaker diarization on top of Whisper.

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About

WhisperX is an open-source speech recognition toolkit that extends OpenAI's Whisper with the two features production transcription needs most: word-level timestamps via forced phoneme alignment, and speaker diarization through pyannote.audio integration.

It also adds voice activity detection to cut hallucinations on long audio, batched inference for speed, and a faster-whisper backend option. The result became the default Whisper wrapper for subtitling, meeting transcription, and media pipelines that need exact timing.

WhisperX is released under BSD-3-Clause and remains one of the most starred Whisper ecosystem projects. It is a toolkit around models, not a new acoustic model itself, which is worth knowing when comparing it to Whisper variants.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

March 1, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

transcriptionsubtitlingspeaker-diarization

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 100; Trending score 76/100 from researcher assessment.

Sources