Readability Score Checker
Paste any draft to measure reading ease, grade level, sentence density, and difficult-word load using classic readability formulas.
Your readability score, grade level, formula breakdown, and editing guidance will appear here.
What the checker measures
Readability is not one score. The tool combines sentence structure, word familiarity, and grade-level formulas.
Reading ease
Flesch Reading Ease estimates how quickly a broad audience can move through your text.
Sentence load
Average sentence length reveals whether ideas are packed too tightly for fast comprehension.
Grade level
Consensus grade level combines multiple formulas so one outlier does not dominate the report.
Difficult words
The analyzer flags uncommon or syllable-heavy words that may slow readers down.
Readability formulas included
The implementation follows the metric family exposed by the text-readability README.
Flesch Reading Ease
Scores text from very easy to very confusing based on words per sentence and syllables per word.
Ease score
Flesch-Kincaid Grade
Converts sentence and syllable load into an estimated US school grade.
Grade level
Gunning Fog
Weights long sentences and complex words to estimate years of education needed.
Grade level
SMOG Index
Uses polysyllabic words across sentence samples; best when the input has three or more sentences.
Grade level
Coleman-Liau
Uses letters per word and sentences per hundred words instead of syllable counts.
Grade level
Automated Readability Index
Uses characters per word and words per sentence to approximate comprehension grade.
Grade level
Dale-Chall
Highlights unfamiliar-word density to estimate how challenging the text feels.
Grade level
Where readability scoring helps
Use it before publishing, submitting, or sending any text where clarity affects trust.
SEO content
Keep articles accessible while preserving the keywords and headings that matter.
Academic drafts
Check whether essays and reports match the expected audience level.
Business writing
Make proposals, briefs, and policies easier for busy readers to understand.
Emails
Lower friction in outreach, newsletters, onboarding, and support replies.
Editorial teams
Give reviewers a shared scoring baseline before style edits begin.
AI-assisted edits
Verify that generated or humanized text did not become harder to read.