Catch unexpected changes in your application UI

Visual models of your application are built from screenshots taken during each test run.

Machine learning algorithms differentiate between changes in dynamic regions of your application (ex: ads, promotional banners) and those in static regions.

Only alerts about new visual changes in static areas are sent to reduce notification noise.

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visual change detection mabl

Side-by-side screenshot comparisons

Baseline screenshots captured from previous test runs are displayed next to screenshots from the latest test run. Visual changes are labeled as warnings in the test output so you can quickly filter for them. Changes are highlighted with bounding boxes for easy review.

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