AI on Chrome
Welcome to the next era of the web with AI. See how AI can make it easier for developers to build powerful experiences on the web.
Gemini Nano in Chrome
Reimagine what's possible with Gemini Nano in Chrome.
Built-in AI
We're bringing Gemini Nano, the most efficient model of the Gemini ecosystem, to Chrome.
Why use client-side AI?
Client-side AI brings powerful models to users, while protecting data privacy and improving latency.
Available APIs
Review the APIs and their availability status to use with Gemini Nano in Chrome.
Join the Built-in AI Challenge
You're invited to reimagine the web with built-in AI. Create innovative web applications and Chrome Extensions, using Chrome's integrated AI models and APIs. Prizes total $65,000 USD.
Built-in AI APIs
Join the origin trials and start using these APIs in production.
Translator API
Live translate text in the browser using local AI models. Now, users can contribute in their first language.
Language Detector API
Identify the language used in any given text with the Language Detector API.
Summarizer API
Generate different types of summaries in varied lengths and formats, such as sentences, paragraphs, bullet point lists, and more.
Prompt API in Extensions
Discover the infinite possibilities of the Prompt API in Chrome Extensions.
Build with AI
Solve for your use case, and follow our best practices.
Evaluate product reviews
Use server-side generative AI to evaluate reviews. Inference occurs on a server.
Help users share useful feedback
Explore on-device AI solutions to help users write insightful reviews.
On-device translation with AI
Empower global customer support with the Translator API.
Cache AI models
Help your applications launch faster by caching the the model on-device.
Extensions and AI
Enhance the browsing experience with browser customization and control over web content. Build next-level extensions with AI.
AI and Gemini Nano news
Developer productivity
DevTools AI assistance
Chat with Gemini in DevTools. Conversations you start from this panel have context about technical details of the page you're inspecting.
AI assistance for styling
Use the AI assistance panel to understand a website's overall layout, specific element styles and to get AI-generated fixes for CSS bugs.
Use AI assistance
Check out five ways to make styling your page easier, from understanding layouts to fixing airplanes.
Console insights in DevTools
Use the Console to view and debug the results of on-device AI.
Web AI at I/O
We're bringing the power of Gemini Nano into Chrome, so developers can bring generative AI to their web applications, without servers.
Practical on-device AI for web developers
Client-side AI is delivers powerful models to users on-device, while protecting sensitive data and improving latency. Look at real-world use cases and determine when client-side AI is right for you.
WebAssembly and WebGPU enhancements for faster Web AI
Learn how WebAssembly and WebGPU enhancements improve machine learning performance on the web.
Models, tools, and APIs for future web apps
Google's web AI libraries and models just reached 1 billion downloads. Learn what's new with the state of web AI at Google and discover generative AI models you can run client-side.
WebGPU
Support your AI efforts with WebGPU, a web graphics API that offers access to more advanced GPU features.
What's New in WebGPU
Disover the latest updates to WebGPU in Chrome.
Overview
Discover WebGPU in Chrome and get first-class support for general computations on the GPU.
Access the GPU
Learn how to access the GPU with WebGPU.
Web AI model testing in Google Colab
Learn how to test client-side, browser-based AI models in true browser environments.
Troubleshooting tips and fixes
Learn why WebGPU may be inoperable or not working as expected in Chrome, and how to fix it..
API reference
Find the API reference on MDN.
WebAssembly
Enable high-performance applications on web pages with Chrome
WebAssembly optimizations for AI inference
Learn about improvements to WebAssembly for tasks commonly used in AI inference.
TensorFlow.js Wasm backend
Learn about the TensorFlow.js Wasm backend WASM backend and how it uses the XNNPACK library for optimized implementation of neural network operators.
ONNX Runtime Web for WebAssembly
Learn how to deploy the ONNX Runtime Web in a production environment and which WebAssembly binary file(s) to include in the application.
Web devs and AI
What is AI?
Understand the basics and definitions of the various emerging technologies, often referred to as AI.
Ethics and AI
As web practitioners, it's critical that we build new technology thoughtfully and responsibly.
Upgrade your site search
Discover techniques to get contextual results from generative AI, at-scale.