Multilingual dictation app based on the powerful OpenAI Whisper ASR model(s) to provide accurate and efficient speech-to-text conversion in any application. The app runs in the background and is triggered through a keyboard shortcut. It is also entirely offline, so no data will be shared. It allows users to set up their own keyboard combinations and choose from different Whisper models, and languages.

The PortAudio library is required for this app to work. You can install it on macOS using the following command:

brew install portaudio

The app requires accessibility permissions to register global hotkeys and permission to access your microphone for speech recognition.

Clone the repository:

git clone https://github.com/foges/whisper-dictation.git
cd whisper-dictation

Create a virtual environment:

python3 -m venv venv
source venv/bin/activate

Install the required packages:

pip install -r requirements.txt

Run the application:

python whisper-dictation.py

By default, the app uses the "base" Whisper ASR model and the key combination to toggle dictation is cmd+option on macOS and ctrl+alt on other platforms. You can change the model and the key combination using command-line arguments. Note that models other than tiny and base can be slow to transcribe and are not recommended unless you're using a powerful computer, ideally one with a CUDA-enabled GPU. For example:

python whisper-dictation.py -m large -k cmd_r+shift -l en

The models are multilingual, and you can specify a two-letter language code (e.g., "no" for Norwegian) with the -l or --language option. Specifying the language can improve recognition accuracy, especially for smaller model sizes.

To have the app run automatically when your computer starts, follow these steps:

1. Open System Preferences.
2. Go to Users & Groups.
3. Click on your username, then select the Login Items tab.
4. Click the + button and add the run.sh script from the whisper-dictation folder.