Open-Source AI · Speech (STT / TTS)

WhisperX vs pyannote.audio

WhisperX vs pyannote.audio compared for 2026 — features, license, ease of use, performance and which one to choose. Whisper plus word timestamps and diarization vs Know who spoke when.

Updated regularly · curated by OpenSourceAI.tech

Choose WhisperX for subtitles and multi-speaker transcripts. Choose pyannote.audio for meeting transcripts with several speakers.

WhisperX vs pyannote.audio at a glance

SpecWhisperXpyannote.audio
CategorySpeech (STT / TTS)Speech (STT / TTS)
TypeSTT with alignmentSpeaker diarization
LicenseBSD-2-ClauseMIT
Runs locallyYesYes
Primary languagePythonPython
Ease of useIntermediateIntermediate
Best forsubtitles and multi-speaker transcriptsmeeting transcripts with several speakers
GitHub stars23.1k

How WhisperX and pyannote.audio score

🤝 Too close to call — WhisperX and pyannote.audio land within a hair (4.4 vs 4.5 / 5). Pick on fit, not on score.
CriterionWhisperXpyannote.audio
Popularity3.5n/a
Maintenance5.0n/a
Ease of use3.53.5
Privacy5.05.0
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

WhisperX

STT with alignment · BSD-2-Clause

WhisperX adds accurate word-level timestamps and speaker diarization on top of Whisper, ideal for subtitles and multi-speaker transcripts.

  • Accurate word-level timestamps
  • Speaker diarization built in
  • Great for subtitles and meeting transcripts
See the WhisperX page →

pyannote.audio

Speaker diarization · MIT

pyannote.audio segments audio by speaker, answering "who spoke when" — the missing piece that turns a transcript into a usable meeting record.

  • State-of-the-art speaker diarization
  • Pairs perfectly with Whisper
  • Pretrained models available
Visit pyannote.audio →

Key differences

WhisperX is sTT with alignment, while pyannote.audio is speaker diarization. Their licenses differ (BSD-2-Clause vs MIT), which matters if you ship a commercial product. In short, WhisperX fits subtitles and multi-speaker transcripts, and pyannote.audio fits meeting transcripts with several speakers.

Which should you choose?

Choose WhisperX for subtitles and multi-speaker transcripts. Choose pyannote.audio for meeting transcripts with several speakers.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is WhisperX or pyannote.audio easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are WhisperX and pyannote.audio free?

WhisperX is free and open source (BSD-2-Clause), and pyannote.audio is free and open source (MIT). Neither charges for the core software.

Can I run WhisperX and pyannote.audio locally?

WhisperX: yes · pyannote.audio: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

WhisperX vs pyannote.audio — which should I pick in 2026?

Choose WhisperX for subtitles and multi-speaker transcripts. Choose pyannote.audio for meeting transcripts with several speakers.

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