This project provides a graphical user interface (GUI) for the faster-whisper and whisperX speech-to-text libraries, targeting users who need to transcribe audio or video files into various subtitle formats. It simplifies the process of using these powerful models by offering a visual interface for parameter tuning and model management.

How It Works

The GUI leverages PySide6 for its user interface and integrates directly with faster-whisper and whisperX for transcription. It supports downloading models from Hugging Face, including the large-v3 model, and allows for model conversion. The software also incorporates the Demucs model for audio separation and offers features like batch processing, VAD parameter control, and word-level timestamps for enhanced transcription accuracy and usability.

Quick Start & Requirements

• Install via pip install faster-whisper-GUI.
• Requires Python 3.x.
• Supports downloading models from Hugging Face.
• Official documentation and demo links are not explicitly provided in the README.

Highlighted Details

• Supports transcription to SRT, TXT, SMI, VTT, and LRC formats.
• Integrates Demucs for audio source separation.
• Offers word-level timestamps and Karaoka lyric support.
• Includes batch processing capabilities.

Maintenance & Community

• The project is hosted on GitHub by CheshireCC.
• No specific community channels (Discord, Slack) or roadmap are mentioned.

Licensing & Compatibility

• The README does not explicitly state a license.
• Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project appears to be actively developed, with features like Demucs and WhisperX integration being relatively recent additions. Specific details on performance benchmarks or extensive testing are not provided.