02 ธันวาคม 2568
As the AI landscape continues to expand, we often hear that developers aren't always sure where to start and which API or SDK is best for their use case.
So we wanted to provide you with examples of AI-enabled features using both on-device and Cloud models and inspire you to create delightful experiences for your users.
We are thrilled to announce the launch of the redesigned Android AI Sample Catalog, a dedicated application designed to inspire and educate Android developers to build the next generation of AI-powered Android apps.
Discover what's possible with Google AI
The Android AI Sample Catalog is designed as a one-stop destination to explore the capabilities of Google AI APIs and SDKs. Inside, you'll find a collection of samples demonstrating a wide range of AI use cases that you can test yourself. We really designed this catalog to give you a hands-on feel for what you can build and help you find the right solution and capability for your needs.
Here are some of the samples you can find in the catalog:
Image generation with Imagen Uses Imagen to generate images of landscapes, objects and people in various artistic styles. | On-device summarization with Gemini Nano Lets you summarize text on-device using Gemini Nano via the GenAI Summarization API. |
Chat with Nano Banana A chatbot app using the Gemini 3 Pro Image model (a.k.a. "Nano Banana Pro") letting you edit images via a conversation with the model. | On-device image description with Gemini Nano Lets you generate image descriptions using Gemini Nano via the GenAI Image Description API. |
Other samples include: image editing via Imagen mask-editing capabilities, a to-do list app controlled via the voice using the Gemini Live API, on-device rewrite assistance powered by Gemini Nano, and more!
The samples using cloud inference are built using the Firebase AI Logic SDK, and the ML Kit GenAI API is used for the samples running on-device inference. We plan to continue creating new samples and updating the existing ones as new capabilities are added to the models and SDKs.
Fully open source and ready to copy
We believe the best way to learn is by doing. That's why the AI Sample Catalog is not only fully open-source but it’s been architectured so the code relevant to the AI features is self-contained and easy to copy and paste, so you can quickly experiment with these code samples in your own project.
When you're exploring a sample in the app and want to see how it's built, you can simply click the <> SOURCE button to jump directly to the code on GitHub.
To help you get started quickly, each sample includes a README file that highlights the APIs used, along with key code snippets.

Note: To run the samples using the Firebase AI Logic SDK, you’ll need to set up a Firebase AI project. Also, the samples using ML Kit Gen AI APIs powered by Gemini Nano are only supported on certain devices.
We also put extra thought into the app's user interface to make your learning experience more engaging and intuitive. We've refreshed the app with a bold new brand that infuses the Android look with an expressive AI design language. Most notably, the app now features a vibrant, textured backdrop for the new Material 3 expressive components, giving you a modern and enjoyable environment to explore the samples and dive into the code. The systematic illustrations, inspired by generated image composition, further enhance this polished, expressive experience.