visual-verdict

Visual regression testing for UI screenshots is automated by comparing generated screenshots against reference images to produce a deterministic JSON verdict. This structured output includes a score, pass/fail status, category match status, and specific differences to guide the next UI iteration.

A deterministic JSON verdict in UI evaluation is a strict, structured output generated by comparing a current UI screenshot to reference images. It removes subjective human judgment by returning a score, pass/fail assessment, category match status, and actionable suggestions for design rework.

Screenshot comparison supports design QA during UI iteration cycles by validating layout, spacing, and typography against reference renders. It outputs a structured JSON verdict containing a score, category match status, and specific differences to directly inform necessary design edits.

Performing a UI evaluation requires inputs of one or more reference images and a single generated screenshot. The tool compares these inputs to evaluate visual fidelity and outputs a strict JSON verdict detailing differences, suggestions, and a pass/fail score.

Automated screenshot comparison works effectively for evaluating layout and typography differences by comparing current renders to reference images. It identifies specific visual discrepancies and returns them within a deterministic JSON verdict to guide corrections and rework.