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OpenSuperWhisper

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AI 模型与开发框架
3,145
Stars
292
Forks
9
Watchers
102
Open Issues
MIT
许可证
Swift
语言
2025-02-06
创建时间
2026-11-10
最近更新

项目能做什么

macOS 语音听写应用。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# OpenSuperWhisper

OpenSuperWhisper is a macOS application that provides real-time audio transcription using the Whisper model. It offers a seamless way to record and transcribe audio with customizable settings and keyboard shortcuts.

<p align="center">
<img src="docs/image.png" width="400" /> <img src="docs/image_indicator.png" width="400" />
</p>

## Features

- 🎙️ Real-time audio recording and transcription
- 🧠 Two transcription engines: [Whisper](https://github.com/ggerganov/whisper.cpp) and [Parakeet](https://github.com/AntinomyCollective/FluidAudio) — download models directly from the app
- ⌨️ Global keyboard shortcuts — key combination or single modifier key (e.g. Left ⌘, Right ⌥, Fn)
- 🖱️ Mouse button trigger — bind the middle or an extra (thumb) mouse button to start/stop recording
- ✊ Hold-to-record mode — hold the shortcut, modifier key or mouse button to record, release to stop
- 📁 Drag & drop audio files for transcription with queue processing
- 🎤 Microphone selection — switch between built-in, external, Bluetooth and iPhone (Apple Continuity) mics from the menu bar
- 🌍 Support for multiple languages with auto-detection
- 🇯🇵🇨🇳🇰🇷 Asian language autocorrect ([autocorrect](https://github.com/huacnlee/autocorrect))

## Installation

```shell
brew update # Optional
brew install opensuperwhisper
```

Or from [GitHub releases page](https://github.com/Starmel/OpenSuperWhisper/releases).

## Requirements

- macOS (Apple Silicon/ARM64)

## Support

If you encounter any issues or have questions, please:
1. Check the existing issues in the repository
2. Create a new issue with detailed information about your problem
3. Include system information and logs when reporting bugs

## Building locally

To build locally, you'll need:

    git clone git@github.com:Starmel/OpenSuperWhisper.git
    cd OpenSuperWhisper
    git submodule update --init --recursive
    brew install cmake libomp rust ruby
    gem install xcpretty
    ./run.sh build

In case of problems, consult `.github/workflows/build.yml` which is our CI workflow
where the app gets built automatically on GitHub's CI.

## Contributing

Contributions are welcome! Please feel free to submit pull requests or create issues for bugs and feature requests.

### Contribution TODO list

- [ ] Streaming transcription
- [ ] Custom dictionary / keyword boosting ([#19](https://github.com/Starmel/OpenSuperWhisper/issues/19))
- [ ] Intel macOS compatibility ([#15](https://github.com/Starmel/OpenSuperWhisper/issues/15))
- [ ] Agent mode ([#14](https://github.com/Starmel/OpenSuperWhisper/issues/14))
- [x] Background app ([#8](https://github.com/Starmel/OpenSuperWhisper/issues/8))
- [x] Support long-press single key audio recording ([#18](https://github.com/Starmel/OpenSuperWhisper/issues/18))

## License

OpenSuperWhisper is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

## Whisper Models

You can download Whisper model files (`.bin`) from the [Whisper.cpp Hugging Face reposito
阅读完整原文

项目深度分析 规则生成(AI 未配置)

综合评分 42.5 分。该项目在“个人可实施性”维度得 40 分,“付费可能性”维度得 20.0 分,差异化空间 70.0 分(评分依据见评分卡)。

面向细分需求的二次开发产品

产品构想基于 OpenSuperWhisper 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

竞品与相似项目 GitHub Search 真实检索

项目中文简介Stars语言
jsjones80/OpenSuperWhisper 中文介绍暂未生成
PyQt6 GUI for Whisper transcription with hotkeys and audio r
2 Python
bbkgh/opensuperwhisper 中文介绍暂未生成
🎙️ OpenSuperWhisper Transcriber
1 Python
my-monkeys/opensuperwhisper-site 中文介绍暂未生成
1 Astro
shesl-tinkerland/tmp-skill-opensuperwhisper-dictation 中文介绍暂未生成
Temp skill import for OpenSuperWhisper
0 -
picturesuo/opensuperwhisper-fork 中文介绍暂未生成
OpenSuperWhisper by Starmel at upstream 1bd0297 (MIT), kept
0 Swift
以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建于 2025-02-06,近 30 天仍在推送,发布过 7 个 Release
社区活跃Star 3,145 / Fork 292 / Issue 102(数据支持,可自行核实)
许可证MIT
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。