What Is Visual Testing? How AI Can Help Review UI Changes

Visual testing verifies that your application looks correct, not just that it functions correctly. A button might work perfectly but render off-screen on mobile. A modal might display the right data but overlap with the navigation.

Traditionally, visual testing meant screenshot comparison: capture a baseline, compare new screenshots, flag differences. This generates enormous noise — every intentional design change triggers alerts.

AI-assisted visual testing can help identify suspicious layout changes and prioritize screenshot differences for review. It cannot reliably infer every design intention; teams still need approved baselines, representative viewports, and human review of ambiguous changes.

TestSprite's test execution includes visual verification at every step. When the agent interacts with the application, it captures page state and validates rendering. If something looks wrong, the Visual Test Modification Interface shows exactly what the agent saw.

Add visual checks to selected critical flows, such as signup and checkout, on desktop and mobile. Review flagged changes before updating a baseline; test coverage depends on the flows, browsers, and viewports configured.

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