whisperX
WhisperX for automatic speech recognition with word-level timestamps and diarization
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python.
Good fit when
- When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs.
- When your application requires diarization capabilities, allowing for the identification of different speakers within the audio.
Avoid when
- Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg.
- Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (20d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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Install
pip install whisperXHow it fits your stack(1)
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Evidence and technical details
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Overview
A tool that provides precise ASR with timestamps and speaker identification in Python.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
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. For Linux users, install the CUDA toolkit 12.8 following this guide: CUDA Installation Guide for Linux. For Windows users, download and...
For agents
This page has a .md twin and JSON over the API.