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lattifai

@lattifai source repo

13 published skills

  1. ▌
    Omnicaptions Laicut · lattifai
    Use when user needs accurate/precise caption timing, or aligning captions with audio/video using forced alignment. Corrects caption timing to match actual speech. Uses LattifAI Lattice-1 model.
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    Omnicaptions Convert · lattifai
    Use when converting between caption formats (SRT, VTT, ASS, TTML, Gemini MD, etc.). Supports 30+ caption formats.
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    Omnicaptions Download · lattifai
    Use when downloading videos, audio, or captions from YouTube and other video platforms. Supports quality selection.
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    Omnicaptions Translate · lattifai
    Use when translating captions/captions to another language. Supports bilingual output and context-aware translation. Default uses Claude native, Gemini API optional.
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    Omnicaptions Transcribe · lattifai
    Use when transcribing audio/video to text with timestamps, speaker labels, and chapters. Supports YouTube URLs and local files. Produces structured markdown output.
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    Edgespeak Align · lattifai
    Force-align audio/video against a known transcript on-device via EdgeSpeak to produce word-level timestamps (start, end, score) for karaoke captions, word-accurate SRT, dubbing, and clip extraction. Use when the user already has the transcript/script/lyrics and wants to know exactly when each word is spoken.
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    Edgespeak Karaoke · lattifai bundle
    Create word-highlighted karaoke ASS subtitles, optionally bilingual with a translated second line, and burn them into local video using one EdgeSpeak transcription request with inline word-level forced alignment. Use when the user asks for karaoke captions, per-word highlighting, an ASS file, bilingual or dual-language subtitles, subtitle style choices or previews, or a hard-subbed video without supplying a final reference transcript.
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  8. ▌
    Edgespeak Segment · lattifai
    Split a long run of text into natural sentences on-device via EdgeSpeak using a semantic sentence splitter that works on unpunctuated ASR output, or re-segment a word-timed transcript JSON (from transcribe/align) into new sentence boundaries while re-mapping every word timing. Use when the user has raw transcript text, captions, or dictation and wants clean sentence boundaries for subtitles, reading, translation chunks, or further processing — or wants existing timed captions re-split at a different cue length without re-transcribing.
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  9. ▌
    Edgespeak Broadcast · lattifai
    Turn text into natural speech fully on-device via EdgeSpeak (Broadcast) — synthesize WAV audio with official named voices, cloned voices, style instructions, speed and reproducible seeds, design a brand-new voice from a text description, and manage a local voice library including cloning a voice from consented reference audio. Use when the user wants local private text-to-speech, an audio version of some text, or wants to list/add/delete EdgeSpeak voices.
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  10. ▌
    Edgespeak Translate · lattifai bundle
    Translate a timed transcript (EdgeSpeak JSON or SRT) into a target language yourself, keeping a strict 1:1 segment mapping and every timestamp untouched, so the result still lines up with the audio for subtitles and dubbing. Enforces punctuation parity, consistent terminology, localized country/place names, and a per-segment character budget when the translation will be spoken. Use when the user wants a transcript, captions, or subtitles translated, mentions "translate the transcript", "翻译字幕", bilingual subtitles, or wants a dub script for EdgeSpeak Broadcast.
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  11. ▌
    Edgespeak Transcribe · lattifai
    Transcribe audio/video on-device via EdgeSpeak into text, JSON, or SRT, with optional word-level timing, anonymous speaker diarization (who said what), and sentence-shaping parameters for subtitles, meeting notes, voice memos, and searchable transcripts. Use when the user has a local media file to turn into private no-upload transcription, wants speaker-labeled output for interviews/meetings/podcasts, or wants transcribe output tuned with timing or segment options. When the user needs real speaker names, produce diarized JSON and continue with edgespeak-name-speakers.
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  12. ▌
    Edgespeak Yt Download · lattifai
    Download an authorized YouTube video's media, captions, and public metadata with yt-dlp for local transcription or analysis, using conservative serial requests, stable filenames, no-overwrite defaults, and safe cookie handling. Use when the user supplies a YouTube URL and needs a local audio/video file, subtitles, or title/description/participant metadata before edgespeak-transcribe or edgespeak-name-speakers.
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    Edgespeak Name Speakers · lattifai bundle
    Resolve anonymous speaker_N labels in an EdgeSpeak diarized transcript to evidence-backed real names, while preserving the original cluster IDs and leaving uncertain identities unresolved. Use after edgespeak-transcribe --diarize for interviews, meetings, panels, and podcasts when the user wants named speakers, or when the user provides a participant roster, source page, or YouTube URL that can supply identity metadata.
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