confusable-vision takes the 1,418 TR39 confusable pairs that map a non-Latin character to a Latin target (a-z, 0-9), renders both characters across every available system font, and computes SSIM for each pairing. The output is a scored JSON artifact: one continuous similarity score per pair, per font.
Failed Units: 1，详情可参考谷歌浏览器【最新下载地址】
3 transform chain，这一点在搜狗输入法2026中也有详细论述
Overall, Lumen5 is a useful tool for creating content，详情可参考Line官方版本下载