RimoChan/unvcode

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1367 stars · 43 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library that replaces characters in a string with visually similar Unicode homoglyphs, producing text that looks identical but has different code points. It was created to evade Chinese platform keyword censorship (e.g., QQ group name filtering) by swapping characters with lookalike variants.

Use cases

• bypass keyword filters on Chinese chat platforms
• replace characters with visually identical unicode lookalikes
• obfuscate text so it evades string matching
• generate homoglyph variants of Chinese strings
• measure pixel similarity between original and substituted characters

When to choose

• you need to make text visually identical while changing its underlying code points to dodge naive keyword filters
• you want a simple pip-installable Python function with per-character similarity scores

When to avoid

• you need robust, principled censorship circumvention rather than a novelty trick
• your target system normalizes unicode or uses OCR/vision-based filtering
• you need guaranteed rendering across fonts, since lookalikes depend on system fonts

Facets

library · maturity maintenance

nlp privacy censorship-circumvention python cross-platform homoglyph unicode anti-censorship text-obfuscation chinese-text natural-language-processing

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