#faster-whisper

This project provides real-time transcription using cutting-edge models such as Faster-Whisper and Silero VAD for precise voice activity detection. Audio input can be processed via a microphone, and the transcription is converted to text swiftly. Easy configuration is possible through the HTML-based interface. Significant features include converting audio to text, synchronizing audio files, supporting live streaming subtitles with WebSocket, and generating SRT files. Regular updates ensure compatibility with the latest models, maintaining exceptional transcription accuracy and speed.

This GUI software facilitates transcribing audio and video to formats including srt, txt, smi, vtt, and lrc. It integrates with WhisperX and Demucs models for flexible and efficient use. Features encompass VAD and Whisper model parameter settings, whisper large-v3 model support, batch processing, and an intuitive PySide6 interface. Models can be downloaded or converted within the application, adhering to legal usage terms.

Open-Lyrics utilizes sophisticated language models to convert voice files into LRC format. Key features include multilingual support, context-aware translation, and audio preprocessing for better accuracy. It supports custom endpoints and various translation engines. The library can be installed via PyPI or GitHub, offering flexibility in model customization and audio enhancement.