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From lattifai-skills
Align existing captions to audio/video with word-level precision using the Lattice-1 model. Trigger when the user has both a media file AND a caption/transcript that need to be synchronized, or says "fix caption timing", "字幕对不上", "对齐字幕", "word-level timestamps", "karaoke timing", "timestamps are off". Do NOT trigger without existing text — use `/lai-transcribe` first.
npx claudepluginhub lattifai/lattifai-skills --plugin lattifai-skillsHow this skill is triggered — by the user, by Claude, or both
Slash command
/lattifai-skills:lai-alignThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Produces word-level and segment-level timestamps with sub-frame accuracy. Requires an API key — see `/lai-setup`.
Aligns captions or transcripts to audio/video with precise word-level timing via LattifAI Lattice-1 forced alignment. Corrects timing drift; supports SRT, VTT, ASS, LRC, TXT, MD formats.
Convert between 30+ caption/subtitle formats (SRT, VTT, ASS, JSON, TextGrid, LRC, FCPXML, Premiere, …) and shift timing. Trigger on "convert captions", "SRT to VTT", "转换字幕格式", "shift timing", "ASS styling", "karaoke effect", "导入Premiere", or any caption-format question. Do NOT trigger to fix timing accuracy (`/lai-align`) or translate (`/lai-translate`).
Generates WCAG 2.1 / Section 508 compliant corrected captions for YouTube videos using AI, with configurable speech-to-text source.
Share bugs, ideas, or general feedback.
Produces word-level and segment-level timestamps with sub-frame accuracy. Requires an API key — see /lai-setup.
Positional args are input_media, input_caption, output_caption. Pick a <base> (the media stem or YouTube ID) and reuse it; outputs land in the current directory:
# <base> = podcast (from podcast.mp3)
lai alignment align podcast.mp3 podcast.srt podcast.aligned.json
# shortcut:
lai-align podcast.mp3 podcast.srt podcast.aligned.json
# or explicit key=value style (interchangeable, useful inside scripts):
lai alignment align --direct -Y \
input_media=podcast.mp3 \
input_caption=podcast.srt \
output_caption=podcast.aligned.json \
caption.input.split_sentence=false
Format is inferred from the output file extension (30+ formats — see /lai-caption). Add --direct -Y for non-interactive pipeline runs.
Output naming: prefer <base>.aligned.json for downstream pipelines (karaoke / translate / diarize all consume aligned JSON). Use <base>.srt etc. only when the alignment result is the final deliverable.
Append as key=value pairs:
caption.input.split_sentence=false (default in examples) — preserve the source caption's original cue boundaries. Set to true to re-segment into natural sentences via wtpsplit; useful when the source has mid-sentence cue breaks (typical for YouTube auto-captions) and you want clean segments for downstream karaoke / translation / summarizationcaption.render.word_level=true — keep per-word timestamps in the output (needed for karaoke; use a JSON or ASS output path)media.streaming_chunk_secs=300 — process audio >10 min with bounded memory (up to 20 h)alignment.device=auto — override auto device (cuda/mps/cpu)Full list: lai alignment align --help.
{
"supervisions": [{
"text": "Hello world",
"start": 0.0,
"end": 2.5,
"words": [
{"word": "Hello", "start": 0.0, "end": 0.5},
{"word": "world", "start": 0.6, "end": 2.5}
]
}]
}
Fan out to other formats (karaoke ASS, TextGrid, SRT, …) via /lai-caption.
| Problem | Fix |
|---|---|
API KEY verification error | Run lai auth trial or lai auth login — see /lai-setup |
| Timing looks wrong | Try caption.input.split_sentence=true or caption.input.normalize_text=true |
/lai-transcribe — generate a transcript first/lai-diarize — add speaker labels to aligned output/lai-caption — convert aligned JSON to any format/lai-youtube — YouTube URL → aligned captions in one command