GraphCanon
Home/Developer Tools/whisperX
whisperX logo

whisperX

Enrichment pending
m-bain/whisperX

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

GitHub

GraphCanon updated today · GitHub synced today

23k
Stars
2.3k
Forks
200
Open issues
160
Watchers
2w
Last push
Python BSD-2-ClauseCreated Dec 9, 2022

Trust & integrity

Full report
Maintenance
Active (15d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Personal account
As of today · Source: github_public_v1
Security (OSV)
No lockfile
As of today · Source: none

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Overview

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

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 11, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

Developer ToolsSpeech & Audio

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

pip install whisperx
Source link

Tags

asrspeechspeech-to-textpythonspeech-recognitionwhisper

README

0. CUDA Installation

To use WhisperX with GPU acceleration, install the CUDA toolkit 12.8 before WhisperX. Skip this step if using only the CPU.

1. Simple Installation (Recommended)

The easiest way to install WhisperX is through PyPi:

pip install whisperx

Or if using uvx:

uvx whisperx

2. Advanced Installation Options

These installation methods are for developers or users with specific needs. If you're not sure, stick with the simple installation above.

Option A: Install from GitHub

To install directly from the GitHub repository:

uvx git+https://github.com/m-bain/whisperX.git

Option B: Developer Installation

If you want to modify the code or contribute to the project:

git clone https://github.com/m-bain/whisperX.git
cd whisperX
uv sync --all-extras --dev

Note: The development version may contain experimental features and bugs. Use the stable PyPI release for production environments.

You may also need to install ffmpeg, rust etc. Follow openAI instructions here https://github.com/openai/whisper#setup.