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.
贵在精准，重在精准。我们创造的脱贫奇迹，充分证明了精准方略是减贫的制胜法宝。。关于这个话题，搜狗输入法2026提供了深入分析
，详情可参考搜狗输入法下载
失去驾驶乐趣，是AI时代汽车消费者最大的悲哀。
constructor() {，更多细节参见同城约会