A Python-based visual testing tool using OpenCV to compare images with pixel-level accuracy. Highlights visual differences with red rectangles, streamlining UI validation, visual regression, and ensuring design consistency across versions with precision.
I built this tool to simplify and automate visual regression testing, especially for UI validations where pixel-perfect accuracy matters. Unlike many complex alternatives, this solution is lightweight, easy to integrate, and focuses purely on visual difference highlighting with precision. Its simplicity, combined with OpenCV’s power, makes it fast and reliable without the overhead of bulky frameworks. I'm most proud of its ability to instantly spot visual mismatches with clear red highlights, making it a practical asset for QA teams aiming for seamless user experiences.
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