Whiscribe

Whiscribe is a tool with a UI that transcribes audio files into subtitles in SRT format using OpenAI's Whisper. The entire process, including audio processing and transcription, runs completely on your local machine, ensuring privacy and security for your audio data.

Features

• Audio Transcription: Convert audio files to text using the Whisper model.
• Audio Track Preview: Preview and select audio tracks before transcription.
• Word Hint Support: Improve subtitle accuracy with custom word hints for domain-specific terms or uncommon vocabulary.
• Subtitle Export: Generate and download subtitles in SRT format.
• User-Friendly Interface: Built with Streamlit for ease of use.

Prerequisites

1. Install Rust

   $ curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

2. Install ffmpeg:

   • macOS: brew install ffmpeg
   • Windows: Install from FFmpeg download page

3. Install Poetry

   $ curl -sSL https://install.python-poetry.org | python3 -

Installation

1. Clone the repository:

   $ git clone https://github.com/silentsoft/whiscribe.git
   $ cd whiscribe

2. Install Dependencies:

   $ poetry install

Usage

1. Activate the Poetry virtual environment:

   $ poetry shell

2. Run the app:

   $ whiscribe

3. Open your browser:

   • The app will run at http://localhost:8501. Select an audio file and generate subtitles!

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please note we have a CODE_OF_CONDUCT, please follow it in all your interactions with the project.

License

This project is licensed under the MIT License. See the LICENSE file for details.