About

Yet another speech-to-text app, powered by faster-whisper and QFluentWidgets.

It was developed specifically for a family member, and as such, it is provided as-is. Please note that the project may not receive any new features or fixes in the future.

Features

• Model Selection: Support for various speech recognition models via faster-whisper
• Modern UI: Built with PyQt and QFluentWidgets for a modern look and feel
• GPU support: Compatible with NVIDIA GPUs and can also run on any CPU (for smaller models).
• Copy to clipboard: Easily copy transcribed text to the clipboard with a single click.
• Save to file: Save transcribed text as a .txt file.
• Fully Local: The application operates completely offline after downloading the whisper model.

Getting Started

Prerequisites

1. Python 3.12
2. Git
3. Windows

Installation

1. Clone the repository:

   git clone https://github.com/icosane/eustoma.git

   or download the latest release (the .zip file) and extract its contents to your computer.

2. Navigate to the folder and create a virtual environment:

   python -m venv .

3. Activate the virtual environment:

   .\\Scripts\\activate
   

4. Install the requirements from the file:

   pip install -r requirements.txt
   

Or open the extracted folder in Visual Studio Code / VSCodium, install Python extension, then press Ctrl+Shift+P, type Python: Create Environment, select .venv, use requirements.txt and wait for it to finish.

Building .EXE

1. Install PyInstaller in your .venv: pip install pyinstaller
2. Run pyinstaller build.spec

Usage

1. First Launch: When you launch the app for the first time, navigate to the Settings and download the model you wish to use.
2. Device Configuration: If you have an NVIDIA GPU (you can verify this by checking if you have Device option at the top of the Settings), set the Device option to cuda.
3. Recording: On the main screen, press the Play button to start recording. Press it again to stop recording and transcribe the audio.
4. Text Management: You can copy the transcribed text to the clipboard or save it as a .txt file using the buttons located next to the Settings button.

Keyboard Shortcuts

• Alt + C to copy to clipboard
• Ctrl + S to save to file
• Delete to clear text field
• Spacebar to start/stop recording

Acknowledgments

• faster-whisper
• QFluentWidgets
• PyQt6
• nvidia-cublas
• nvidia-cuda-runtime
• nvidia-cudnn
• pywinrt
• PyAudio
• numpy
• psutil
• GPUtil
• PyInstaller
• flower icons - Flower icons created by Triberion - Flaticon

Screenshots