Elevenlabs Stt
Skill Verified ActiveElevenLabs 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.
Features
- 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
Use Cases
- Transcribing meeting recordings with speaker identification
- Generating timed captions for videos
- Creating transcripts for podcasts
- Aligning audio for lip-sync in animations
Non-Goals
- Real-time transcription (focus is on processed audio files)
- Translation of transcribed text
- Editing or proofreading of transcriptions
Installation
npx skills add inferen-sh/skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedSimilar Extensions
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Transcribe
97Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.