GoKawiilNew library 'semfont' auto-styles text based on word meaning and tone
A small JavaScript library called semfont analyzes each word in a passage and automatically applies visual styling—highlighting, coloring, bolding, and italicizing—based on scores it computes for valence, salience, surprise, and certainty. These scores combine dictionary lookups with contextual rules, such as detecting negators, intensifiers, contrast words, and word rarity relative to common English and the surrounding text.
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This approach turns typography into a form of automated reading comprehension, potentially making dense or emotionally nuanced text easier to skim by visually foregrounding what matters most. It also hints at a broader trend of embedding lightweight NLP directly into front-end tools rather than relying on server-side AI models.
- semfont computes four per-word scores—valence, salience, surprise, and certainty—to drive styling.
- Scores blend static dictionaries with contextual adjustments like negation, intensifiers, and rarity.
- The tool aims to make text easier to read by visually emphasizing emotionally or informationally significant words.
Source: rohanadwankar.github.io, 2026-09-20
Published there as: “A font that reads what you wrote”
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