local-whisper

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

Local Whisper STT

本地Whisper语音转文本

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

使用OpenAI的Whisper实现本地语音转文本。模型初次下载完成后可完全离线运行。

Usage

使用方法

bash

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bash

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Basic

基础用法

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

Better model

使用更优模型

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

With timestamps

包含时间戳

~/.thinkfleetbot/skills/local-whisper/scripts/local-whisper audio.wav --timestamps --json

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~/.thinkfleetbot/skills/local-whisper/scripts/local-whisper audio.wav --timestamps --json

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Models

模型

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

模型	大小	说明
`tiny`	39M	速度最快
`base`	74M	默认模型
`small`	244M	平衡性能最优
`turbo`	809M	速度与质量最佳平衡
`large-v3`	1.5GB	精度最高

Options

选项

```
--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

```
--model/-m
```
— 模型尺寸（默认：base）
```
--language/-l
```
— 语言代码（省略则自动检测）
```
--timestamps/-t
```
— 包含单词时间戳
```
--json/-j
```
— 输出JSON格式
```
--quiet/-q
```
— 隐藏进度信息

Setup

安装配置

Uses uv-managed venv at

.venv/

. To reinstall:

bash

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

使用uv管理的虚拟环境

.venv/

。如需重新安装：

bash

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