BlurBuster - AI Photo Enhancer

What it does

BlurBuster is an AI-powered mobile application designed to restore and enhance digital photos. It offers a suite of specialized, single-purpose tools rather than a generic editor. Users can select tools to enhance blurry faces, correct lighting, colorize black and white images, repair scratches on old photos, upscale low-resolution pictures, and even remove unwanted objects from a scene.

Where it shines

BlurBuster excels in its clear, task-oriented design. The main menu (00:39) presents a clean, scrollable list of tools, each represented by a compelling before-and-after visual. This makes it easy for users to find the exact function they need. The core editing experience is also strong; the before-and-after slider at 01:15 provides immediate, satisfying feedback on the AI's work. A standout feature is the multi-version output (01:15), where the app generates alternative results (V2, V3), giving users more control over the final image.

UX highlights

Modular Toolkit: The app presents its features as a collection of distinct tools (e.g., 'Enhance,' 'Descratch') instead of a complex, all-in-one editor. This simplifies navigation and clarifies the purpose of each function (02:08).
Instant Visual Feedback: The use of a draggable before-and-after slider is a core interaction, allowing users to instantly see the impact of an enhancement (01:15).
Multi-Version Outputs: After processing, the app provides alternative versions (V2, V3) of the result, which gives users a choice and manages expectations around AI variability (01:21).
Clear Processing States: During image processing, the app displays a clean progress bar with percentage updates and clear labels like 'Preparing process...' and 'Finalizing...' (01:00).
Focused Settings: The photo adjustment screen (00:50) offers minimal but powerful settings like 'Background' and 'AI Power', avoiding overwhelming the user with complex controls.
Direct Onboarding: The initial user flow (00:09 - 00:22) is incredibly quick, using a feature carousel to demonstrate value before immediately presenting the paywall.

Monetization & growth

Monetization is introduced immediately after a brief feature showcase. The paywall at 00:22 gates all functionality. It presents yearly and weekly subscription plans, using framing like 'Most Popular' to guide users towards the annual option. A clever 'Enable free trial' toggle (00:24) transforms the weekly plan into a 3-day trial, catering to users who need to test the app before committing. After subscribing, the user is greeted with a simple confirmation modal (00:34). The app also includes a referral feature to encourage growth (04:23).

Who it’s for

BlurBuster appears to be for anyone looking to improve their personal photos, especially those with sentimental value. One key audience is individuals wanting to restore old, scanned family photos that are blurry, scratched, or in black and white. Another is casual smartphone users who have photos that are slightly out of focus or poorly lit and want a quick, powerful fix without learning complex editing software.

Notes & opportunities

The app's reliance on a hard paywall after a very brief onboarding could deter some users who want to test the editor with their own photo before subscribing. While the 'Enable free trial' toggle is smart, its discoverability could be tested. In the main editor, the difference between the alternative versions (V2, V3) and the primary result (V1) is not always clear, as they appear as small, blurred thumbnails (01:15). A clearer preview mechanic could improve this feature.