Google has released an experimental app called AI Edge Gallery, allowing Android users to run AI models directly on their devices without needing an internet connection.

The app supports several publicly available models from Hugging Face, including Google's own lightweight Gemma 3n, and offers tools for image generation, Q&A, and code assistance.

The key feature of the app is its local processing capability, which means data never leaves the user's device.

This addresses rising concerns over privacy and data security, particularly when interacting with AI tools. By running models locally, users benefit from faster response times and greater control over their data.

AI Edge Gallery includes features such as 'AI Chat,' 'Ask Image,' and a 'Prompt Lab,' where users can experiment with tasks like text summarisation and single-turn AI interactions.

While the app is optimised for lighter models like Gemma 3-just 529MB in size-Google notes that performance will depend on the hardware of the user's device, with more powerful phones delivering faster results.

Currently in Alpha, the app is open-source and available under the Apache 2.0 licence via GitHub, encouraging developers to explore and contribute. Google is also inviting feedback to shape future updates and improvements.

To enhance app security, especially as AI features become more embedded in mobile experiences, Google suggests integrating secure, passwordless login methods.

Solutions like MojoAuth-offering OTP-based logins via phone or email-can reduce risks of data breaches while offering a smooth, user-friendly authentication process.

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