Grade level
Flesch-Kincaid and consensus grading that tells you who can actually understand the piece.
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Analyze content readability with Flesch-Kincaid grade level, reading ease, and detailed text statistics.
Enter a URL or paste text above to analyze its readability and get improvement suggestions.
Readability science engine
Grade-level scoring, sentence architecture, passive-voice load and structure rhythm — the clarity system behind content that converts and ranks.
Flesch-Kincaid and consensus grading that tells you who can actually understand the piece.
Length distribution and complexity flags — long-sentence clusters mapped to paragraphs.
Passive-voice density and adverb load that dull otherwise strong arguments.
Paragraph length, heading cadence and list usage that control reading stamina.
Wall-of-text and jargon-density flags that predict where readers abandon.
Sentence-level rewrite guidance ordered by comprehension lift per edit.
How it works
Paste text, get the science of its clarity — then edit with a ranked queue instead of gut feel.
Step 01
Draft, published URL or excerpt — any English copy works.
paste in
Step 02
Grade level, sentence stats and voice metrics computed instantly.
5 metrics
Step 03
Problem sentences and dense passages highlighted with reasons.
flagged
Step 04
Apply the directives, re-score, and ship copy humans finish.
re-score
Clarity, decoded
Readability governs bounce, comprehension and conversion — and search engines read the behavioral exhaust.
Most web audiences read at grade 8–10. Every grade above your audience costs comprehension and conversions.
grade-matched copy lifts comprehension 30%+
Why Amaris vs. the rest
Score your copy now
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Clarity converts
Score any copy in seconds, fix friction in order, and publish words humans actually finish.
Free · No signup · Instant grade
Scores, grade levels, and the writing fixes that move them — plus why readability lifts UX, accessibility, and rankings.
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Algorithmic topical clusters & automated programmatic ranking