transcriber-local
CommunityOn-device, privacy-first transcription.
AuthorCoachSteff
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Privacy-focused offline transcription by running Whisper models locally to avoid cloud processing and data exposure.
Core Features & Use Cases
- On-device transcription with local Whisper models (tiny to large)
- Word-level timestamps and multiple output formats (TXT, JSON, SRT, VTT)
- Batch processing and GPU acceleration for improved performance
- Suitable for sensitive content, compliance workflows, and offline workloads
Quick Start
Invoke LocalTranscriber with your preferred model_size and transcribe a file locally.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: transcriber-local Download link: https://github.com/CoachSteff/superskills/archive/main.zip#transcriber-local Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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