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.
content = extract_text(soup.select_one("article")) or extract_text(soup.select_one(".content"))
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3月24日,北京市少年宫,学生科技节优秀获奖作品展上,北京市育英学校的学生在展示校园环境智能导览系统。新京报记者 李木易 摄
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