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lai-transcribe

스타29

포크1

업데이트2026년 4월 28일 11:20

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`.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

lattifai

lattifai/lattifai-skills

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

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):

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:

# <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:

# <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:

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

이 저장소의 다른 Skills

같은 저장소

lai-diarize

lattifai/lattifai-skills

Identify speakers ("who said what") in aligned captions via pyannote.audio. Real speaker names come from the agent's own reasoning over transcript + context (default), with a CLI-LLM fallback for headless runs. Trigger on multi-speaker content (podcasts, interviews, meetings) or phrases like "diarize", "speaker detection", "说话人识别", "区分说话人", "label the speakers". Requires aligned captions — run `/lai-align` first.

2026-05-1429

lai-translate

lattifai/lattifai-skills

Translate captions into another language (or produce bilingual captions) while preserving segment count, timing, speaker labels, AND source punctuation density (no inserted em-dashes, parentheses, or bracketed glosses unless the source had them — downstream rendering shows every character). **Primary path uses this session's LLM directly — no API key, no model config.** Trigger on "translate captions", "翻译字幕", "翻译成中文/英文", "make bilingual subtitles", or "translate this" when working with caption files. CLI `lai translate run` is the secondary path for headless / oversized runs.

2026-05-1329

lai-align

lattifai/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.

2026-04-2829

lai-caption

lattifai/lattifai-skills

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`).

2026-04-2829

lai-karaoke

lattifai/lattifai-skills

Generate viral-ready karaoke / lyric-video subtitles with per-word highlighting in one command. Adaptive font size from media resolution. Ready-made style presets for TikTok, Reels, Shorts, 抖音, 小红书, YouTube, and cinematic long-form. Trigger on "karaoke 字幕", "卡拉OK", "lyric video", "逐词歌词", "按字高亮", "TikTok 字幕", "抖音字幕", "Reels caption", "Shorts caption", "小红书歌词", "viral subtitles", "爆款字幕", or when a song / podcast / video clip is given and per-word highlighted captions are asked for. For general caption format conversion without karaoke styling, use /lai-caption.

2026-04-2829

lai-summarize

lattifai/lattifai-skills

Summarize a transcript, podcast, or long caption file into structured markdown (TL;DR, chapters with timestamps, quotes, entities). **Primary path uses this session's LLM directly — no API key, no model config.** Trigger on "summarize", "生成摘要", "总结", "TL;DR", "episode summary", "what was discussed", or when the user has a long caption and wants key points. CLI `lai summarize caption` is the secondary path for oversized transcripts / headless runs.

2026-04-2829

name	lai-transcribe
description	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`.
allowed-tools	Read, Bash(lai:*)

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):

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:

# <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:

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

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:

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