Moonshine Web
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Moonshine Web
Overview :
Moonshine Web is a simple application built with React and Vite, running on Moonshine Base, a powerful speech recognition model optimized for fast and accurate automatic speech recognition (ASR), particularly suited for resource-constrained devices. The application runs locally in the browser, utilizing Transformers.js and WebGPU for acceleration (with WASM as an alternative). Its significance lies in providing users with a serverless solution for local speech recognition, which is especially crucial for scenarios requiring swift processing of voice data.
Target Users :
The target audience includes developers and businesses in need of real-time speech recognition capabilities, particularly those requiring real-time processing of voice data without relying on external servers. Moonshine Web offers a fast, accurate, and easy-to-integrate solution.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 58.8K
Use Cases
- Real-time generation of meeting notes during online conferences.
- Automatic subtitle generation for video content.
- Implementation of voice command control on mobile devices.
Features
- Voice recognition: Real-time speech-to-text using the Moonshine Base model.
- Local execution: Speech recognition runs directly in the browser without the need for a server.
- WebGPU acceleration: Utilizes WebGPU to enhance the computation speed of speech recognition.
- WASM fallback: In environments without WebGPU support, WASM can be used as an alternative.
- Easy deployment: As a React application, it can be easily deployed in any environment that supports React.
- Open source code: The code is open source, allowing users to modify and customize it to fit their specific needs.
- Cross-platform: Supports multiple browsers, enabling users to utilize it across different devices.
How to Use
1. Clone the repository: Use the git clone command to clone the examples repository from GitHub.
2. Navigate to the project directory: Use the cd command to enter the moonshine-web folder.
3. Install dependencies: Use the npm i command to install the required project dependencies.
4. Run the development server: Execute the npm run dev command to start the development server.
5. Access the application: Open your browser and enter http://localhost:5173 to access and use the application.
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