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.
We're bringing Gemini Nano, the most efficient model of the Gemini ecosystem, to Chrome.
Client-side AI brings powerful models to users, while protecting data privacy and improving latency.
Learn the requirements to start building features and applications with built-in AI.
Review the APIs and their availability status to use with Gemini Nano in Chrome.

Built-in AI APIs

Join the origin trials and start using these APIs in production.
Live translate text in the browser using local AI models. Now, users can contribute in their first language.
Identify the language used in any given text with the Language Detector API.
Generate different types of summaries in varied lengths and formats, such as sentences, paragraphs, bullet point lists, and more.
Discover the infinite possibilities of the Prompt API in Chrome Extensions.

Build with AI

Solve for your use case, and follow our best practices.
Use server-side generative AI to evaluate reviews. Inference occurs on a server.
Explore on-device AI solutions to help users write insightful reviews.
Empower global customer support with the Translator API.
Help your applications launch faster by caching the the model on-device.
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

Chat with Gemini in DevTools. Conversations you start from this panel have context about technical details of the page you're inspecting.
Use the AI assistance panel to understand a website's overall layout, specific element styles and to get AI-generated fixes for CSS bugs.
Check out five ways to make styling your page easier, from understanding layouts to fixing airplanes.
Use the Console to view and debug the results of on-device AI.
We're bringing the power of Gemini Nano into Chrome, so developers can bring generative AI to their web applications, without servers.
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.
Learn how WebAssembly and WebGPU enhancements improve machine learning performance on the web.
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.
Disover the latest updates to WebGPU in Chrome.
Discover WebGPU in Chrome and get first-class support for general computations on the GPU.
Learn how to access the GPU with WebGPU.
Learn how to test client-side, browser-based AI models in true browser environments.
Learn why WebGPU may be inoperable or not working as expected in Chrome, and how to fix it..
Find the API reference on MDN.

WebAssembly

Enable high-performance applications on web pages with Chrome
Learn about improvements to WebAssembly for tasks commonly used in AI inference.
Learn about the TensorFlow.js Wasm backend WASM backend and how it uses the XNNPACK library for optimized implementation of neural network operators.
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

Understand the basics and definitions of the various emerging technologies, often referred to as AI.
As web practitioners, it's critical that we build new technology thoughtfully and responsibly.
Discover techniques to use client-side AI, which offers benefits such as low latency, reduced server-side costs, increased user privacy, and more.