OpenSuperWhisper
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)。