macOS dictation app
2,847
stars
217
commits
Swift
primary language
Sep 7, 2026
updated
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.
brew update # Optional
brew install opensuperwhisper
Or from GitHub releases page.
If you encounter any issues or have questions, please:
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.
Contributions are welcome! Please feel free to submit pull requests or create issues for bugs and feature requests.
OpenSuperWhisper is licensed under the MIT License. See the LICENSE file for details.
You can download Whisper model files (.bin) from the Whisper.cpp Hugging Face repository. Place the downloaded .bin files in the app's models directory. On first launch, the app will attempt to copy a default model automatically, but you can add more models manually.
For Hebrew transcription, download the "Turbo V3 Hebrew" model from Settings → Model. It is ivrit.ai's Hebrew fine-tune of whisper-large-v3-turbo (whisper-large-v3-turbo-ggml) — the same base model as the other "Turbo V3" entries, but tuned for Hebrew. Selecting it automatically sets the input language to Hebrew, which these models require to be set explicitly.
Swift
92.6%
Shell
4.8%
Python
2.5%
macOS dictation app
2,847
stars
217
commits
Swift
primary language
Sep 7, 2026
updated
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.
brew update # Optional
brew install opensuperwhisper
Or from GitHub releases page.
If you encounter any issues or have questions, please:
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.
Contributions are welcome! Please feel free to submit pull requests or create issues for bugs and feature requests.
OpenSuperWhisper is licensed under the MIT License. See the LICENSE file for details.
You can download Whisper model files (.bin) from the Whisper.cpp Hugging Face repository. Place the downloaded .bin files in the app's models directory. On first launch, the app will attempt to copy a default model automatically, but you can add more models manually.
For Hebrew transcription, download the "Turbo V3 Hebrew" model from Settings → Model. It is ivrit.ai's Hebrew fine-tune of whisper-large-v3-turbo (whisper-large-v3-turbo-ggml) — the same base model as the other "Turbo V3" entries, but tuned for Hebrew. Selecting it automatically sets the input language to Hebrew, which these models require to be set explicitly.
Swift
92.6%
Shell
4.8%
Python
2.5%