Local Whisper

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📖 技能介绍


name: local-whisper description: Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes. metadata: {"clawdbot":{"emoji":"🎙️","requires":{"bins":["ffmpeg"]}}}


Local Whisper STT

Local speech-to-text using OpenAI's Whisper. Fully offline after initial model download.

Usage

# Basic
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav

# Better model
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav --model turbo

# With timestamps
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav --timestamps --json

Models

Model Size Notes
tiny 39M Fastest
base 74M Default
small 244M Good balance
turbo 809M Best speed/quality
large-v3 1.5GB Maximum accuracy

Options

小葱技能7w4.net有更新,你可以访问看下。

  • --model/-m — Model size (default: base)
  • --language/-l — Language code (auto-detect if omitted)
  • --timestamps/-t — Include word timestamps
  • --json/-j — JSON output
  • --quiet/-q — Suppress progress

Setup

Uses uv-managed venv at .venv/. To reinstall:

cd ~/.clawdbot/skills/local-whisper
uv venv .venv --python 3.12
uv pip install --python .venv/bin/python click openai-whisper torch --index-url https://download.pytorch.org/whl/cpu

🤖 AI 评测

这是一款实用的本地语音转文字工具,离线即可使用,安装配置有文档指导。整体质量良好,核心转录功能稳定可靠,支持多种输出格式和模型选择。优点是操作简单、结果准确、无需联网;缺点是初次配置需要安装多个依赖项,新手可能遇到困难,且没有提供测试用的示例音频文件。适合有技术基础的用户使用。

📊 多维度评分

适应性4.3
规范性4
有效性4.5
可靠性4.2
可信度4.4

📁 包含文件 (3 个)

📄 SKILL.md 1.4 KB
📄 _meta.json 132 B
📄 scripts/transcribe.py 2.5 KB