readability

Text readability is measured by computing established metrics like Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, and SMOG. These scores evaluate sentence length and complex word density to provide objective clarity ratings and audience guidance.

Calculating the Flesch-Kincaid grade level requires analyzing your input text for word counts, sentence counts, and syllable density. The tool computes this automatically alongside other metrics to benchmark your materials and validate accessibility goals.

You can analyze readability for educational content, marketing copy, and policy documents by providing the text to the analyzer. It processes any text where clarity is essential, returning structured scores, audience guidance, and improvement suggestions.

A readability analysis includes word counts, sentence counts, average sentence length, complex word metrics, and punctuation usage. These text statistics help gauge text density and support the objective scores to provide actionable improvement suggestions.

The best way to tailor materials is to compute readability scores like SMOG and Gunning Fog, then apply the returned audience guidance and improvement suggestions. This validates that your text meets the target reading level and accessibility goals.