Visual AI Testing
// Definition
Visual regression testing using an ML model that distinguishes meaningful UI changes (missing elements, layout shifts, broken images, colour regressions) from rendering noise (anti-aliasing, sub-pixel rendering, dynamic timestamps). Compared to pixel-by-pixel diffs, visual AI dramatically reduces false positives — critical for cross-browser and cross-device matrices. Common tools include Applitools Eyes, Percy, and Chromatic.
// Related terms
AI Testing
The use of AI — language models, machine-learning classifiers, and AI-powered platforms — to accelerate testing tasks: generating test code from descriptions, analysing logs and stack traces, suggesting edge cases, healing broken locators, comparing screenshots intelligently, and triaging failures. AI augments QA engineers; it does not replace the judgement, exploration, and risk-modelling work that humans still do best.
Regression Test
A test that verifies previously fixed bugs haven't returned and existing features still work after new changes. Forms the safety net for refactoring and feature work.
Learn more · AI Tools for QA
Chapter 3 · Lesson 2: Visual AI Testing — Applitools, Percy