whisperX and docker-whisperX

WhisperX is the core ASR and diarization library, while the Docker image is a containerized distribution mechanism for easier deployment—they are complements that work together, with the Dockerfile packaging the original tool for users who prefer containerized environments.

whisperX
80
Verified
docker-whisperX
57
Established
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 20/25
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 18/25
Stars: 20,758
Forks: 2,188
Downloads:
Commits (30d): 11
Language: Python
License: BSD-2-Clause
Stars: 422
Forks: 49
Downloads:
Commits (30d): 0
Language: Dockerfile
License: MIT
No risk flags
No Package No Dependents

About whisperX

m-bain/whisperX

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

This tool helps you accurately transcribe audio recordings, providing not just the words but also precise timestamps for each word. It can also identify who is speaking at any given time, separating conversations by speaker. Anyone who needs highly accurate transcripts for audio analysis, subtitling, or content review would find this useful, such as researchers, journalists, or content creators.

audio-transcription speech-to-text speaker-diarization subtitling qualitative-research

About docker-whisperX

jim60105/docker-whisperX

Dockerfile for WhisperX: Automatic Speech Recognition with Word-Level Timestamps and Speaker Diarization (Dockerfile, CI image build and test)

This tool helps you accurately transcribe audio recordings, providing not just the words spoken, but also their exact start and end times, and identifies who spoke which parts. You provide an audio file (like an MP3), and it outputs a text transcription with detailed timing and speaker labels. This is ideal for researchers, journalists, or anyone needing precise transcripts for analysis or subtitling.

audio-transcription media-analysis qualitative-research meeting-minutes subtitling

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