faster-whisper
CommunityLocal speech-to-text, 4-6x faster with GPU.
Software Engineering#python#transcription#ffmpeg#speech-to-text#gpu-acceleration#local-processing#faster-whisper
Authorsunchendd
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transcribe audio locally to text using faster-whisper, enabling fast, offline speech-to-text with optional word-level timestamps.
Core Features & Use Cases
- Local transcription with GPU acceleration for high-speed results
- Multilingual support and offline processing for meetings, lectures, podcasts, and video content
- Word-level timestamps for subtitles and precise transcripts
Quick Start
Transcribe a local audio file by running the provided script to produce a transcript.
Dependency Matrix
Required Modules
faster-whisper
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: faster-whisper Download link: https://github.com/sunchendd/good_skills/archive/main.zip#faster-whisper Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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