Readability Analyzer EN
Measure your English text readability — Flesch Reading Ease, Gunning Fog, long sentences, lexical diversity. To calibrate tone between mainstream press, specialized press, and high expertise.
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Long sentences, -ly adverbs, and passive forms highlighted.Also worth exploring
All toolsExtract title, meta description, H1 and H2 from up to 50 pages at once. Ideal for auditing the editorial consistency of a category or a competitor.
Measure whether the gap between two variants (titles, layouts, snippets) is statistically significant. Two-proportion Z-test with p-value and confidence interval.
E-A-T score based on objective signals: identified author, published and modified dates, citations to authority sources, Article+Person Schema.org markup.
Is your page ready for AI Overviews and ChatGPT Search? FAQ/HowTo schema, Q&A pattern, lists, direct answer, brand mentions — score 0-100.
Frequently asked questions
Why does readability matter for SEO? +
Not as a direct signal (Google doesn't explicitly measure a page's Flesch score), but through two strong indirect signals: dwell time — text that's too dense or too technical drives pogo-sticking back to the SERP, which hurts ranking; engagement — easily scannable text holds attention, generates more shares and more natural backlinks. For a general topic, aim for 60-70 (mainstream press). For an expert topic, 40-50 stays acceptable if your audience is qualified.
How is the Flesch Reading Ease score computed? +
We use the original Flesch formula calibrated on English: 206.835 - 1.015 × (words / sentences) - 84.6 × (syllables / words). The higher the score, the easier the text. Grid: 90-100 = 5th grade (very easy), 80-90 = 6th grade, 70-80 = 7th grade, 60-70 = 8th-9th grade (mainstream press, NYT, BBC), 50-60 = 10th-12th grade, 30-50 = college, < 30 = college graduate / academic.
Is the syllable count exact? +
It's a heuristic: we count vowel groups (a, e, i, o, u, y) with rules for silent final 'e', common digraphs (ea, ee, ie, oa, oo, ou…) and special suffixes (-tion, -cion = 1 syllable, -ed after t/d = +1). Correct on ~95% of standard English text, imperfect on proper nouns, loan words, abbreviations. For a text of several hundred words, the cumulative error averages out statistically and the score stays reliable within ±2 points.
What is lexical diversity (TTR)? +
The Type-Token Ratio measures the unique-words / total-words ratio. A TTR of 0.5 means half of the words are unique. The higher, the richer the vocabulary. But TTR drops mechanically with text length (the more you write, the more connectors repeat). To compare, normalize to 200 words or use MTLD/MATTR (length-stable variants, not implemented here).
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