visual-verdict

To perform UI visual regression testing, provide a generated screenshot and reference images to receive a deterministic JSON verdict. This JSON output rates visual similarity and identifies fidelity issues across layouts, typography, and components for design QA.

A JSON verdict for image diff comparison is a structured output that rates similarity between a generated UI screenshot and reference images. It works by analyzing visual consistency and returning fields like score, verdict, differences, and suggestions to guide edits.

Yes, you can use multiple reference images for UI screenshot comparison. The visual verdict process accepts one or more reference images alongside a generated screenshot to evaluate visual fidelity and produce a strict JSON schema output.

The strict JSON schema for visual verdict output includes fields such as score, verdict, category_match, differences, suggestions, and reasoning. These fields provide a deterministic evaluation of UI fidelity issues for design QA.

Visual verdict testing works for validating precise visual consistency across layouts, typography, and components. It compares generated screenshots against reference images to detect UI fidelity issues and returns a structured JSON verdict.

To fix UI fidelity issues identified during design QA, use the suggestions and reasoning fields provided in the JSON verdict output. These fields detail the detected differences between the generated screenshot and reference images to guide the next edit iteration.