What Delta-QA detects
Deterministic AI, not an LLM: the algorithm compares in a way that is explainable and reproducible to the byte, with no learned model and no black box. In R&D, a team of AI agents stress-tested it against thousands of rendering traps.
Detection categories
Values & states
66 test casesPrices, counters, statuses, form states: what the page shows, not how it shows it.
Structural change, no visual impact
5 test casesThe DOM changes, the render stays identical → zero false positives.
Forms & States
22 test casesInput styling, checkbox/radio, validation states, focus indicators, placeholders.
Animations
15 test casesFrozen transitions, keyframe snapshots, hover state captures.
Holds up at scale
8 test casesHuge pages, hundreds of differences caught without missing one.
Colors & Themes
26 test casesRGB, HSL, OKLCH color changes, dark mode switches, CSS custom properties.
Typography
64 test casesFont families, weight, size, line-height, letter-spacing, text-wrap changes.
Layout
58 test casesFlexbox, CSS Grid, position, margin collapse, float, and box model shifts.
Borders & Shadows
38 test casesBorder-radius, box-shadow, outline, border-style, and border-color changes.
Visibility & Opacity
20 test casesDisplay toggling, visibility changes, opacity shifts, z-index reordering.
Images & SVG
36 test casesObject-fit, CSS filters, SVG path changes, clip-path modifications.
Responsive
11 test casesMedia query breakpoints, container queries, viewport-dependent layouts. Multi-viewport capture coming soon.
Modern CSS
27 test cases:has(), CSS nesting, @layer, subgrid, @scope, and other cutting-edge features.
Real Components
86 test casesDashboards, e-commerce cards, kanban boards, pricing tables, navigation bars.
Subtle Changes
21 test casesSub-perception thresholds, anti-aliasing differences, near-identical color shifts.
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