Voice & Speech

whisper-diarization

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Whisper-Diarization is an open-source library that extends the capabilities of OpenAI's Whisper model to include speaker diarization, allowing for accurate transcription and identification of speakers in audio files.

Whisper-Diarization stands out by offering an open-source solution that integrates speaker diarization with the robust speech recognition capabilities of OpenAI's Whisper, making it a powerful tool for developers and researchers dealing with multi-speaker audio content.

When it fits — and when it doesn’t

A good fit for

  • Developers working on applications that require accurate speaker identification and transcription from audio inputs.

  • Researchers conducting studies on multi-speaker conversations where automated diarization is crucial.

Look elsewhere if

  • Projects requiring real-time processing of audio streams, as Whisper-Diarization processes files post-recording.

  • Applications needing support for languages not covered by the underlying Whisper model.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation and examples for advanced use cases

    Official documentation lacks detailed guides on customizing speaker diarization parameters

  2. 02

    Performance issues with large audio files

    Processing times significantly increase and can lead to memory exhaustion for files longer than 1 hour

What it does well

  • Automatic speech recognition with speaker diarization

  • Built on top of OpenAI's Whisper model

  • Open-source and customizable

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up whisper-diarization

Setup steps, common gotchas and what to check after 30 days.

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