WhisperX — guide skill for captions & subtitles

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Fast Whisper ASR with word-level timestamps and speaker diarization: the timing layer for captions and cuts.

Type: Guide · Captions & subtitles
Slug: whisperx
Status: live
Publisher: Max Bain (community)
License: BSD-2-Clause
Source: https://github.com/m-bain/whisperX
Works in: Claude Code, Codex, Cursor
Cost: Free/open source
Adoption: 24,890 GitHub stars (GitHub, 2026-10-27)

What it does

Adds forced alignment and diarization on top of Whisper so you get accurate per-word timestamps and speaker labels. Most transcript-first editing skills rely on this kind of output to place cuts between words and time captions word by word.

Use when

word-timed captions
cut on word boundaries
label who speaks when in interviews

Install

Claude Code: pip install whisperx

More captions & subtitles skills

3D Camera Captions: Captions that live in 3D around a talking head: the camera flies through the words, heroes pass behind the speaker.
Remotion Captions: Transcribe speech and burn in animated captions with Remotion, or import an existing SRT file.
ElevenLabs Speech to Text: Transcribe audio and video with word timestamps, speaker labels and keyterms, ready for subtitles.
ElevenLabs Speech to Text (inference.sh): Transcribe audio with ElevenLabs Scribe, speaker diarization and forced alignment, via inference.sh.
Speech to Text: Transcribe audio with ElevenLabs Scribe v2 or Whisper V3 Large, with timestamps and speaker labels.
Pretext Text Metrics: Measure and fit text without the DOM using pretext: auto-fit sizes, know line breaks before render, canvas/WebGL text.