Add Generative AI to your Android app with the Gemini models
With the Gemini models, you can leverage the power of generative AI to generate text and imagery, answer questions, summarize documents, caption images, and much more — in the cloud or on-device.
Cloud
Get started with the Gemini API in Android apps
The new Gemini API lets you run the model inference on Google's servers. You can either call the API from your backend or directly integrate the new GoogleAI client SDK for Android.
On-device
Gemini Nano and AICore
Starting with Android 14, Android AICore is a new system capability that enables running foundation models, such as Gemini Nano, directly on-device.
Developer tools
Gemini in Android Studio
Gemini in Android Studio is your coding companion for Android development. It can generate code, find relevant resources, learn best practices, troubleshoot errors and save time.
Developer tools
Gemini API starter template
The Gemini API starter template and provided code samples streamline the process of setting up an AI-powered project in Android Studio to help you build apps that leverage Gemini's multimodal capabilities for tasks like conversational chat, translation, and image captioning.
Latest news
Other AI solutions
Leverage Android device processing power for your ML detection and classification tasks to process images, sound and text.
Common user flows with ML Kit SDKs
ML Kit provides production-ready solutions to common problems and requires no ML expertise. Models are built-in and optimized for mobile. ML Kit is easy to use and lets you focus on feature development rather than model training and optimization.
TensorFlow Lite
If you want more control or to deploy your own ML models, Android provides a custom ML stack built on top of TensorFlow Lite and Google Play services, covering essentials needed to deploy high performance ML features.