How readability is measured
We combine formula-based signals and structural checks. Formula outputs provide directional estimates, while issue detection identifies actionable lines to rewrite.
What formulas are used
- Flesch Reading Ease
- Flesch-Kincaid Grade Level
- Gunning Fog
- SMOG
How issue detection works
Detection highlights long sentences, difficult words, passive voice risk, and hard-to-scan structure patterns. Suggestions are prioritized so teams can fix high-friction lines first.
Where AI rewrite helps
AI rewrite accelerates simplification and plain-English adaptation, especially for support content, onboarding copy, and dense policy summaries.
Limitations
Model outputs can improve readability but may require context checks for legal precision, regulated language, or internal policy nuances.
When manual review is required
Use manual review for legal commitments, policy exceptions, compliance wording, or any text where wording changes could alter enforceable meaning.
Recommended flow: start in Readability Checker, refine in Text Simplifier, then validate with domain review.