lattifai/lattifai-skills/lai-transcribe

Name: lai-transcribe
Author: lattifai

Claude Code and agent skill by lattifai/lattifai-skills

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Transcribe audio/video to timestamped captions with Gemini (100+ languages) or local Parakeet / SenseVoice models. Trigger on "transcribe", "speech to text", "转录", "语音转文字", "generate captions from audio", or when the user provides an audio/video file with no text. If the YouTube video already has captions, prefer `/lai-youtube`.

Install

npx vskill@latest install lattifai/lattifai-skills/lai-transcribe

SKILL.md

LattifAI Transcription

Generates timestamped text from audio/video. Default is Gemini (fast, broad language coverage); local models run offline on GPU.

Prerequisites

Gemini needs an API key (free at <https://aistudio.google.com/apikey>):

bash

lai config set GEMINI_API_KEY <your-key>

Basic Command

Pick a <base> (media stem or YouTube ID) and reuse for the rest of the pipeline; outputs land in the current directory:

bash

# <base> = podcast (from podcast.mp3)
lai transcribe run podcast.mp3 podcast.transcript.json
# shortcut:
lai-transcribe podcast.mp3 podcast.transcript.json

Gemini accepts YouTube URLs directly — no download needed:

bash

# <base> = la0CaZ2R8EY (the YouTube video ID)
lai transcribe run "https://youtu.be/la0CaZ2R8EY" la0CaZ2R8EY.transcript.json

Output naming: prefer <base>.transcript.json so it pipes cleanly into /lai-align (which writes <base>.aligned.json). Use <base>.srt etc. when the transcript itself is the final deliverable and no alignment step follows.

Models

Model	Languages	Requires
`gemini-3-flash-preview` (default)	100+	Gemini API key
`gemini-3.1-pro-preview`	100+, highest quality	Gemini API key
`nvidia/parakeet-tdt-0.6b-v3`	24, offline	GPU + `nemo_toolkit`
`FunAudioLLM/SenseVoiceSmall`	zh / en / ja / ko / cantonese, offline	GPU

Switch model:

bash

lai transcribe run audio.mp4 output.srt transcription.model_name=gemini-3.1-pro-preview

Common Options

transcription.language=zh — force language (otherwise auto-detect)
media.streaming_chunk_secs=300 — chunk long audio
Output format is inferred from extension: .srt / .vtt / .ass / .json / .txt. Use .json when you plan to follow up with /lai-align.

Common Issues

Problem	Fix
`GEMINI_API_KEY not set`	`lai config set GEMINI_API_KEY <your-key>`
Upload timeout / file >2 GB	Split the audio or switch to a local model
Wrong language detected	Force with `transcription.language=en`
Timestamps are coarse	Follow up with `/lai-align`

Related Skills

/lai-align — sharpen timestamps after transcription
/lai-diarize — add speaker labels
/lai-translate — translate the transcript
/lai-youtube — YouTube end-to-end (download + caption + align)
/lai-caption — convert output format

Security

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Source

SKILL.md in the repositoryCheckingskills/lai-transcribe/SKILL.md

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Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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