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重要前提

安装AI Skills的关键前提是：必须科学上网，且开启TUN模式，这一点至关重要，直接决定安装能否顺利完成，在此郑重提醒三遍：科学上网，科学上网，科学上网。查看完整安装教程 →

本地Whisper语音转文字工具 - 完全离线运行，支持多种模型和输出格式

local-whisper by thinkfleetai/thinkfleet-engine

111 周安装量

GitHub

安装命令

npx skills add https://github.com/thinkfleetai/thinkfleet-engine --skill local-whisper

AI/机器学习命令行工具音频处理

🇨🇳中文介绍

本地 Whisper 语音转文字

使用 OpenAI 的 Whisper 进行本地语音转文字。初始模型下载后完全离线运行。

使用方法

# 基础用法
~/.thinkfleetbot/skills/local-whisper/scripts/local-whisper audio.wav

# 使用更好的模型
~/.thinkfleetbot/skills/local-whisper/scripts/local-whisper audio.wav --model turbo

# 包含时间戳
~/.thinkfleetbot/skills/local-whisper/scripts/local-whisper audio.wav --timestamps --json

模型

模型	大小	说明
`tiny`	39M	最快
`base`	74M	默认

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🇺🇸English

Local Whisper STT

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

Usage

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

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

# With timestamps
~/.thinkfleetbot/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

--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 ~/.thinkfleetbot/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

Weekly Installs

Repository

thinkfleetai/th…t-engine

First Seen

Mar 1, 2026

Security Audits

Gen Agent Trust HubPass SocketPass SnykPass

Installed on

gemini-cli72

amp72

cline72

github-copilot72

codex72

kimi-cli72