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Transcribe podcast audio to text
Real-time Whisper WebGPU

Real-time Whisper WebGPU

Transcribe audio to text

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What is Real-time Whisper WebGPU ?

Real-time Whisper WebGPU is a web-based application designed to transcribe audio to text in real-time. It leverages cutting-edge WebGPU technology to provide fast and efficient transcription services for podcast audio and other audio content. This tool is optimized for real-time processing, making it ideal for live transcription needs.

Features

• Real-time transcription: Transcribes audio to text as it is being played or recorded.
• WebGPU acceleration: Utilizes WebGPU for high-performance processing, ensuring smooth and efficient transcription.
• Low latency: Provides instant results with minimal delay.
• Live audio support: Can transcribe audio from live streams or microphone input.
• High accuracy: Delivers accurate transcription, even for complex or technical content.
• Multi-language support: Allows transcription in multiple languages.
• User-friendly interface: Offers an intuitive dashboard for easy navigation and control.

How to use Real-time Whisper WebGPU ?

  1. Install the application: Clone the repository and install dependencies.
  2. Launch the app: Run the application using the provided setup instructions.
  3. Upload audio or connect live source: Either upload a pre-recorded audio file or connect a live audio source.
  4. Start transcription: Click the "Start" button to begin real-time transcription.
  5. View results: Watch as the transcription appears in real-time on the interface.
  6. Adjust settings: Fine-tune settings like language, accuracy, or output format as needed.

Frequently Asked Questions

What browsers are supported by Real-time Whisper WebGPU?
Real-time Whisper WebGPU is optimized for modern browsers supporting WebGPU, including Chrome, Edge, and Firefox.

Can the app handle noisy audio?
Yes, it includes noise reduction features to improve transcription accuracy in noisy environments.

Does it support live audio transcription?
Yes, it supports real-time transcription from live audio sources, such as microphones or streams.

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