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DocumentationEnginesVisual AI (V-JEPA 2)

Visual AI Engine

See Your Application Like a Human Does

QuantumVerifi uses visual AI to understand your UI — detecting layouts, forms, navigation, and interactive elements from screenshots, not just DOM inspection.

What It Does

Visual AI analyses screenshots of your application to understand the page structure the way a real user would see it. This powers smarter test generation, accessibility analysis, and visual regression detection.

Key capabilities:

  • Layout understanding — Identifies headers, footers, sidebars, forms, modals, and navigation
  • Framework detection — Recognises React, Vue, Angular, and vanilla JS patterns
  • Element finding — Locates UI elements by natural language description
  • Visual regression — Detects visual changes between releases automatically
  • Complexity scoring — Rates page complexity to adjust test strategies

Why It Matters

Traditional testing tools rely on DOM selectors that break when your UI changes. Visual AI understands the meaning of UI elements — a login button is a login button regardless of its CSS class name, component library, or framework.

This means:

  • Tests that don’t break when you refactor your UI
  • Smarter test prioritisation — interactive and high-importance areas are tested first
  • Accessibility insights — violations are mapped to the visual regions where they occur
  • Framework-aware selectors — generated tests use the most reliable locator strategy for your stack

Automatic Fallback

Visual AI works seamlessly across deployment options. If the primary visual engine is unavailable, the system falls back to Claude Vision automatically — your analysis results are identical regardless of which backend processes the screenshots.

Available On

  • Business plan and above (Cloud)
  • All self-hosted plans (deploy on your own GPU infrastructure)