Elevenlabs Stt
Skill Verifiziert AktivElevenLabs speech-to-text with Scribe models and forced alignment via inference.sh CLI. Models: Scribe v1/v2 (98%+ accuracy, 90+ languages). Capabilities: transcription, speaker diarization, audio event tagging, word-level timestamps, forced alignment, subtitle generation. Use for: meeting transcription, subtitles, podcast transcripts, lip-sync timing, karaoke. Triggers: elevenlabs stt, elevenlabs transcription, scribe, elevenlabs speech to text, forced alignment, word alignment, subtitle timing, diarization, speaker identification, audio event detection, eleven labs transcribe
To accurately transcribe audio into text and provide precise timing information for subtitles and lip-sync, leveraging advanced AI models.
Funktionen
- ElevenLabs Scribe v1/v2 models for high accuracy
- Support for 90+ languages with auto-detection
- Speaker diarization and audio event tagging
- Word-level timestamps and forced alignment
- Subtitle and karaoke timing generation
Anwendungsfälle
- Transcribing meeting recordings with speaker identification
- Generating timed captions for videos
- Creating transcripts for podcasts
- Aligning audio for lip-sync in animations
Nicht-Ziele
- Real-time transcription (focus is on processed audio files)
- Translation of transcribed text
- Editing or proofreading of transcriptions
Installation
npx skills add inferen-sh/skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
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