Role: Full-stack / Android Developer Platform: Android Status: Published on Google Play

Finding the right image online can be surprisingly frustrating. Most image search tools are overloaded with irrelevant results, limited filtering, or interfaces that are difficult to use on smaller screens.

I wanted to build something much simpler: a fast image search experience where users could search, filter, browse, and open visual content without needing an account or dealing with unnecessary complexity.

I built Image Seeker, an Android app focused on fast visual search and a clean browsing experience.

Users can search through images and GIFs, filter results by content type and minimum resolution, and narrow searches to specific domains. The app also supports presets for HD, Full HD, and 4K searches.

The experience includes:

Image and GIF search

Advanced filtering

Domain-specific searches

Infinite scrolling

Full-screen image viewer

Related image navigation

Optional search history

Safe search controls

Responsive layouts for phones, tablets, and desktop-sized screens

Device-specific sessions with no account required

One of the main design decisions was keeping the application client-side with no custom backend.

That meant I could avoid building and maintaining unnecessary infrastructure while keeping searches unrestricted by a server-side rate limit.

I also implemented intelligent caching and graceful error handling to keep the search experience responsive and reliable, particularly when users are rapidly scrolling through results.

Privacy was another consideration. Search history is isolated to the user's device, and the app does not require an account.

Image-heavy applications can quickly become sluggish, especially when loading large numbers of images and animated GIFs.

I optimized the result experience so GIF animations only play when their cells are visible. This prevents dozens of animations from continuing to consume resources while the user scrolls.

The app also uses caching and efficient result navigation to make repeated searches and browsing feel much faster.

The project has also gone through multiple iterations focused on real-world Android behavior, including Android 15 edge-to-edge support, smoother carousel navigation, GIF performance, and responsive layouts.

The result is a small but complete product that takes a fairly complex search experience and turns it into a focused mobile application.