# Skills Faster Whisper

> Faster-Whisper

- Skill: `urjuyaimon09/skills-faster-whisper` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add urjuyaimon09/skills-faster-whisper`
- Raw SKILL.md: https://api.skillmd.com/api/skills/urjuyaimon09/skills-faster-whisper/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: urjuyaimon09 (https://skillmd.com/u/urjuyaimon09)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/urjuyaimon09/skills-faster-whisper

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Faster-Whisper

High-performance local speech-to-text using faster-whisper.

Setup
1. Run Setup Script

Execute the setup script to create a virtual environment and install dependencies. It will automatically detect NVIDIA GPUs for CUDA acceleration.

./setup.sh


Requirements:

Python 3.10 or later
ffmpeg (installed on the system)
Usage

Use the transcription script to process audio files.

Basic Transcription
./scripts/transcribe audio.mp3

Advanced Options
Specific Model: ./scripts/transcribe audio.mp3 --model large-v3-turbo
Word Timestamps: ./scripts/transcribe audio.mp3 --word-timestamps
JSON Output: ./scripts/transcribe audio.mp3 --json
VAD (Silence Removal): ./scripts/transcribe audio.mp3 --vad
Available Models
distil-large-v3 (default): Best balance of speed and accuracy.
large-v3-turbo: Recommended for multilingual or highest accuracy tasks.
medium.en, small.en: Faster, English-only versions.
Troubleshooting
No GPU detected: Ensure NVIDIA drivers and CUDA are correctly installed. CPU transcription is significantly slower.
OOM Error: Use a smaller model (e.g., small or base) or use --compute-type int8.