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@ -6,22 +6,22 @@ This project is based on [Whisper Streaming](https://github.com/ufal/whisper_str
<img src="src/web/demo.png" alt="Demo Screenshot" width="600">
</p>
### What's New?
### Differences from [Whisper Streaming](https://github.com/ufal/whisper_streaming)
#### 🌐 **Web & API**
- **Built-in Web UI** – No frontend setup needed, just open your browser and start transcribing.
- **FastAPI WebSocket Server** – Real-time STT processing with async FFmpeg streaming.
- **JavaScript Client** – A ready-to-use MediaRecorder implementation that can be copied on your client side.
- **Built-in Web UI** – No frontend setup required, just open your browser and start transcribing.
- **FastAPI WebSocket Server** – Real-time speech-to-text processing with async FFmpeg streaming.
- **JavaScript Client** – Ready-to-use MediaRecorder implementation for seamless client-side integration.
#### ⚙️ **Core Improvements**
- **Buffering Preview** – Displays unvalidated transcription segments for better feedback.
- **Multi-User Support** – Handle multiple users simultaneously without conflicts.
- **Buffering Preview** – Displays unvalidated transcription segments for immediate feedback.
- **Multi-User Support** – Handles multiple users simultaneously without conflicts.
- **MLX Whisper Backend** – Optimized for Apple Silicon for faster local processing.
- **Enhanced Sentence Segmentation** – Better buffer trimming for better accuracy across languages.
- **Enhanced Sentence Segmentation** – Improved buffer trimming for better accuracy across languages.
- **Extended Logging** – More detailed logs to improve debugging and monitoring.
#### 🎙️ **Advanced Features**
- **Real-Time Diarization** – Recognize different speakers in real time using [Diart](https://github.com/juanmc2005/diart).
- **Real-Time Diarization** – Identify different speakers in real time using [Diart](https://github.com/juanmc2005/diart).
## Installation