whisper-diarization and whisper-v3-diarization

These are **competitors** — both implement speaker diarization on top of Whisper for transcription with speaker identification, but A uses basic diarization while B adds WhisperX for improved accuracy and timing precision, making B a more feature-complete alternative.

whisper-diarization
56
Established
whisper-v3-diarization
34
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 6/25
Adoption 1/25
Maturity 15/25
Community 12/25
Stars: 5,437
Forks: 500
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: BSD-2-Clause
Stars: 1
Forks: 1
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About whisper-diarization

MahmoudAshraf97/whisper-diarization

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

This tool helps you automatically transcribe audio recordings and identify who said what. You provide an audio file, and it delivers a text transcript where each sentence is attributed to a specific speaker. This is useful for anyone needing to analyze conversations, meetings, or interviews, such as researchers, journalists, or content creators.

meeting-transcription interview-analysis audio-to-text speaker-identification podcast-transcription

About whisper-v3-diarization

TharanaBope/whisper-v3-diarization

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

Related comparisons

whisper-diarization and whisperX whisper-diarization and whisper-run whisper-diarization and gpt-speaker-diarization whisper-diarization and whisperX whisper-diarization and whisply whisper-diarization and whisper-run

Scores updated daily from GitHub, PyPI, and npm data. How scores work