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Words are highlighted as they're spoken, and hovering over any word provides instant English translation. The generated file is fully self-contained and works completely offline, requiring no internet connection.\n\nIt uses local OpenAI's Whisper models via faster-whisper, if GPU-acceleration is available, it will be used. Checkout [sample page](https://defense.sh/syncscribe/sample-audio/sample_viewer.html) for a demonstration.\n\n## Quick Start\n\n### Generate Interactive Transcription Viewer\n\n```bash\n# Basic usage\n./create_audio_viewer.sh your_audio.wav\n\n# With custom model\n./create_audio_viewer.sh --model medium\n```\n\n**Output:** Standalone HTML file in `out/` folder (or specified directory)\n\n## Requirements\n\n- **Python 3.8+**\n- **NVIDIA GPU** (recommended) with CUDA support\n\n## Installation\n\nNo manual installation needed, the scripts automatically:\n1. Create Python virtual environment\n2. Install all dependencies (faster-whisper, torch, librosa, etc.)\n3. Configure GPU/CUDA settings\n4. Download Whisper models to local cache\n\n```bash\n# Just clone and run\ngit clone \u003cyour-repo\u003e\ncd syncscribe\n./create_audio_viewer.sh your_audio.wav\n```\n\nEverything is created and downloaded in the current directory for easy cleanup.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshjala%2Fsyncscribe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshjala%2Fsyncscribe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshjala%2Fsyncscribe/lists"}