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.
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When adapting to a ReadableStream, a bit more work is required since the alternative approach yields batches of chunks, but the adaptation layer is as easily straightforward: