BrowserAI
BrowserAI is an open-source library that enables running local Large Language Models (LLMs) directly in web browsers with WebGPU acceleration, offering privacy-focused AI capabilities without requiring server infrastructure.
https://github.com/Cloud-Code-AI/browserai?ref=aipure
Product Information
Updated:Apr 9, 2025
What is BrowserAI
BrowserAI is a groundbreaking solution that revolutionizes how AI models can be deployed and run in web browsers. It's designed to make powerful AI capabilities accessible to web developers and businesses while maintaining complete privacy since all processing happens locally in the user's browser. The library supports various popular models including Llama, DeepSeek-distill, Kokoro, and others, while offering features like text generation, speech recognition, and text-to-speech capabilities. As an open-source project, it provides developers with a simple SDK that supports multiple AI engines and comes with pre-optimized popular models ready for production use.
Key Features of BrowserAI
BrowserAI is an open-source library that enables running local Large Language Models (LLMs) directly in web browsers with WebGPU acceleration. It provides privacy-focused AI capabilities with zero infrastructure costs, supporting various models like llama, deepseek-distill, and kokoro. The library offers features including text generation, speech recognition, text-to-speech, structured output generation, and seamless integration with both MLC and Transformers engines.
Local Browser-Based AI Processing: All AI processing happens locally in the browser with WebGPU acceleration, ensuring privacy and near-native performance without requiring server infrastructure
Multi-Model Support: Supports various pre-configured popular models including Llama, Gemma, Whisper, and Kokoro-TTS for different AI tasks like text generation, speech recognition, and text-to-speech
Developer-Friendly Integration: Simple SDK with multiple engine support, built-in database capabilities, and easy-to-use API for text generation and structured output with JSON schemas
Advanced Speech Capabilities: Integrated speech recognition and text-to-speech features with support for multiple languages and voices
Use Cases of BrowserAI
Privacy-Conscious Enterprise Applications: Organizations can implement AI capabilities while keeping sensitive data processing entirely local, ideal for healthcare or financial services
Offline-Capable AI Tools: Development of applications that need to function without internet connectivity after initial model download, suitable for field work or remote locations
No-Code AI Platform Development: Building no-code platforms and tools that incorporate AI capabilities without requiring complex backend infrastructure
Interactive Web Applications: Creating web applications with real-time AI features like chatbots, voice interfaces, and text generation capabilities
Pros
Zero server costs and infrastructure requirements
Complete data privacy with local processing
Easy integration with existing web applications
Cons
Requires modern browsers with WebGPU support
Limited to smaller model sizes due to browser constraints
Initial model download can be large
How to Use BrowserAI
Install BrowserAI: Install the package using npm (npm install @browserai/browserai) or yarn (yarn add @browserai/browserai)
Import BrowserAI: Import the BrowserAI class in your code: import { BrowserAI } from '@browserai/browserai'
Initialize BrowserAI: Create a new instance of BrowserAI: const browserAI = new BrowserAI()
Load a Model: Load your chosen AI model with optional progress tracking: await browserAI.loadModel('model-name', { quantization: 'q4f16_1', onProgress: (progress) => console.log('Loading:', progress.progress + '%') })
Generate Text: Use generateText() method to interact with the model: const response = await browserAI.generateText('Your prompt here')
Configure Advanced Options: Add optional parameters like temperature, max_tokens, and system_prompt when generating text for more control over the output
Handle Responses: Access the generated content from response.choices[0].message.content
Enable Speech Features (Optional): For speech recognition, load 'whisper' models. For text-to-speech, load 'kokoro-tts' model
System Requirements Check: Ensure you're using a modern browser with WebGPU support (Chrome 113+ or Edge 113+) and hardware that supports 16-bit floating point operations for shader-f16 models
BrowserAI FAQs
BrowserAI is an open-source library that allows you to run AI language models (LLMs) directly in your web browser without requiring a server. It provides 100% private, WebGPU-accelerated AI capabilities with zero server costs.
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