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llm-provider Whisper

核心功能:依托OpenAI Whisper CLI实现本地语音转文字与翻译,无需API密钥。典型场景:处理本地mp3、m4a等格式音频,生成转录文本或字幕。输入为本地音频路径,可通过参数指定模型(默认turbo)、任务类型、输出格式,首次运行自动下载模型,可选择模型平衡速度与精度。

czubi1928
czubi1928
热度 20.99
最近更新 2026-09-22 02:57:08
分类:效率依赖:代码执行应用场景:file_conversion / 翻译

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add openai-whisper-1-0-0
Metadata
name
openai-whisper
description
Local speech-to-text with the Whisper CLI (no API key).
homepage
https://openai.com/research/whisper
metadata
{"clawdbot":{"emoji":"🎙️","requires":{"bins":["whisper"]},"install":[{"id":"brew","kind":"brew","formula":"openai-whisper","bins":["whisper"],"label":"Install OpenAI Whisper (brew)"}]}}

Whisper (CLI)

Use whisper to transcribe audio locally.

Quick start

  • whisper /path/audio.mp3 --model medium --output_format txt --output_dir .
  • whisper /path/audio.m4a --task translate --output_format srt

Notes

  • Models download to ~/.cache/whisper on first run.
  • --model defaults to turbo on this install.
  • Use smaller models for speed, larger for accuracy.