elevenlabs-stt
CommunityHigh-accuracy speech-to-text for any audio
Content & Communication#transcription#audio#elevenlabs#timestamps#speech-to-text#diarization#speech-recognition
Authorsyahravi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Convert audio and video recordings into accurate, searchable text while optionally identifying speakers and audio events to save manual transcription time.
Core Features & Use Cases
- Multi-language transcription: Supports 90+ languages and automatic language detection for global audio sources.
- Speaker diarization & timestamps: Identify different speakers and obtain word-level timestamps for meeting minutes, podcasts, and interviews.
- Audio event tagging: Detect laughter, music, applause and other events to enrich transcripts and aid editing workflows.
- Use Case: Quickly transcribe a recorded meeting to generate time-aligned notes, attribute speaker contributions, and export structured JSON for downstream analysis.
Quick Start
Transcribe the attached audio file meeting.mp3 with speaker diarization enabled and return the full JSON output with word-level timestamps.
Dependency Matrix
Required Modules
curljq
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: elevenlabs-stt Download link: https://github.com/syahravi/openclaw/archive/main.zip#elevenlabs-stt Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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