whisperX

Whisper with word-level timestamps and speaker diarization for real subtitles.

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Fit.

Catalog snapshot

Platforms: Linux, Macos, Windows
Operating systems: Linux, macOS, Windows
Ram floor: 4 GB
Gpu: Optional · 4 GB VRAM helps
Docker: No
Setup: Intermediate
Deploy as: Local, Self-hosted
Commercial use: Allowed

BSD-2-Clause; diarization models have their own weights and terms.

Project.

Fetched Sep 12, 2026¹

License: Other
Stars: 24k¹
Forks: 2.4k¹
Open issues: 176¹
Language: Python¹
Last commit: Aug 30, 2026¹
Tags: asrsubtitlesdiarization

About.

whisperX layers forced alignment and speaker diarization on faster-whisper: word-accurate timestamps and who-said-what. It is the standard for subtitle files from local audio. BSD-2-Clause licensed, permissive like MIT in practice.

word-level timestamps · speaker diarization · faster-whisper core · alignment models

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