Mobile UI Polish Scanner for Native App Readiness

Direct answer

A mobile UI polish scanner reviews the details that decide whether a generated screen feels production-ready. The best scanner checks touch zones, spacing rhythm, typography, shadows, native controls, gestures, safe areas, accessibility, and state coverage.

Where it fits

• A generated screen is 80 percent ready but needs a focused polish pass.
• A team wants to compare multiple AI-generated UI variants using a consistent score.
• A client delivery team needs a clean list of issues and fixes instead of subjective comments.

How to run the review

1. Upload or paste the screen source and choose the platform target.
2. Inspect heat zones, spacing, density, typography, controls, and gestures.
3. Prioritize issues by release risk and likely user friction.
4. Send the generated fix prompt to the coding or design tool that created the screen.

Common risks

• Tiny spacing and target-size defects compound across screens and make an app feel cheap.
• A scanner that ignores platform context will produce generic advice.
• Polish recommendations should be actionable enough for an AI coding agent to apply safely.

How NativeFeel QA helps

NativeFeel QA is a mobile UI polish scanner built around native feel, heatmaps, risk evidence, and repair prompts.