visual-verdict

Visual QA comparison evaluates a generated UI screenshot against reference images to return a deterministic JSON verdict. The output enforces a fixed schema containing score, verdict, category_match, differences, suggestions, and reasoning to guide design iterations.

A deterministic JSON verdict is a strict pass/fail assessment for UI screen diffs that returns a fixed schema. It includes score, verdict, category_match, differences, suggestions, and reasoning to provide objective guidance before applying design edits.

Yes, you can supply an optional category_hint to target specific visual fidelity checks during image comparison. Along with required reference_images and a generated_screenshot, it helps focus the assessment on layouts, spacing, typography, or component styling.

Visual regression testing for dashboards uses a fixed JSON schema output to ensure deterministic pass/fail guidance. The schema enforces consistent fields like score, verdict, differences, and suggestions, which are necessary to drive automated design and development iterations.

The best way to automate pass/fail visual testing across app layouts is to generate a deterministic JSON verdict from a screenshot comparison. By supplying reference_images and a generated_screenshot, you receive strict scores and suggestions to automate the next edit iteration.

The visual verdict output includes reasoning and suggestions fields to provide actionable guidance for your next edit iteration. The fixed JSON schema is designed to return not just a pass/fail verdict and score, but also specific differences and recommendations to fix visual fidelity issues.