whisper-run and whisper-v3-diarization

The two tools are competitors, with the former being a more widely adopted solution for faster Whisper inference with diarization, while the latter offers a production-ready CLI and GUI for similar functionality using WhisperX.

whisper-run

Emerging

whisper-v3-diarization

Emerging

Maintenance 0/25

Adoption 5/25

Maturity 25/25

Community 8/25

Maintenance 6/25

Adoption 1/25

Maturity 15/25

Community 12/25

Stars: 9

Forks: 1

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

Stars: 1

Forks: 1

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stale 6m

No Package No Dependents

About whisper-run

gorkemkaramolla/whisper-run

Faster Whisper with Speaker Diarization

Quickly and accurately transcribe audio recordings and identify who said what, even with multiple speakers. It takes an audio file as input and produces a detailed JSON file showing the text spoken and the exact speaker for each segment. This is for anyone who needs to convert spoken content from interviews, meetings, or podcasts into a structured, readable format.

transcription meeting-minutes interview-analysis podcast-production speaker-identification

About whisper-v3-diarization

TharanaBope/whisper-v3-diarization

Production-ready audio transcription & speaker diarization CLI & GUI using OpenAI Whisper and WhisperX

Related comparisons

whisper-run and whisperX whisper-run and whisper-diarization whisper-run and whisperX whisper-run and whisply whisper-run and whisper-diarization

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