visual-verdict

Automate visual regression testing by analyzing a generated UI screenshot against reference images to produce a structured JSON verdict. This output describes visual differences and required edits, enabling automated gating in design QA workflows.

A JSON visual verdict is a structured payload that quantifies visual differences between a UI screenshot and a reference image. It enforces a fixed schema including score, verdict, category_match, differences, suggestions, and reasoning to provide a clear pass, revise, or fail signal.

Validate UI layout, typography, and colors by running a screenshot comparison skill that supports multiple reference images. It analyzes these specific styling properties across screen captures and outputs a deterministic JSON verdict detailing any visual differences and required edits.

Yes, you can use screenshot comparison for automated gating by leveraging the strict JSON payload output. The deterministic score and verdict fields provide a clear pass, revise, or fail signal suitable for integrating automated visual checks into continuous integration pipelines.

Yes, UI testing with image diff supports multiple reference images to handle layout variations and real-world UI states. This allows the analysis to account for different valid configurations when validating a generated UI against design references.

The best way to get a deterministic pass or fail signal is to use a structured visual QA tool that enforces a fixed JSON schema. It quantifies visual differences and outputs a clear verdict, ensuring consistent automated validation against design references.