Paste English text to calculate its reading grade, approximate reading age, Flesch Reading Ease, SMOG, Gunning Fog, ARI, Coleman–Liau, Dale–Chall, and other measures instantly. Analysis runs locally in your browser, so the text is not uploaded or stored.
Understand how readable your text really is
Have you ever wondered if a passage is easy for your audience to read? A readability score estimates how difficult a piece of writing is based on how it is structured. This readability calculator helps you evaluate text in seconds, whether you are writing a blog post, a lesson, a report, or an email. It is designed for non-experts, so you can get useful guidance without studying complex linguistics.
What readability means in simple terms
Readability looks at patterns that often make writing harder or easier to understand. Longer sentences usually require more focus, and longer words often signal more complex vocabulary. Most readability formulas measure things like average words per sentence, characters per word, or syllables per word. The result is a score or grade level that estimates how much education a reader might need to follow the text comfortably.
Why these scores are useful
- Audience fit: Match your writing to students, customers, or general readers.
- Clarity: Identify sections that are too dense and could use shorter sentences.
- Consistency: Keep a steady reading level across a website, policy, or training guide.
- Compliance: Some industries and public documents require clear language targets.
How to use the readability calculator
- Paste or type your text into the input box.
- Click the calculate button to generate scores.
- Review the reading ease and grade-level results.
- Use the word, sentence, and syllable counts to refine your draft.
Flesch Reading Ease: the full scale
Scores can fall below 0 or above 100. The bands are rough descriptions, not a test of a reader’s ability.
Equations and what each result means
Variables: W = words, S = sentences, Y = syllables, C = letters and numbers, P = polysyllabic words, L = average letters per 100 words, N = average sentences per 100 words, and D = percentage of words not in the bundled familiar-word list.
Flesch Reading Ease — ease scale
206.835 − 1.015 × (W ÷ S) − 84.6 × (Y ÷ W)
Output: a roughly 0–100 ease score, where higher is easier. It is useful for a quick plain-language check and is deliberately excluded from the consensus grade because it is not a grade-level scale.
Flesch–Kincaid Grade — U.S. grade level
0.39 × (W ÷ S) + 11.8 × (Y ÷ W) − 15.59
Output: estimated U.S. school grade. It is useful for education and general audience matching, but technical names can raise it.
Automated Readability Index — U.S. grade level
4.71 × (C ÷ W) + 0.5 × (W ÷ S) − 21.43
Output: estimated U.S. grade. ARI uses character count instead of syllables, making it reproducible for machine-scored text.
Gunning Fog — years of education
0.4 × ((W ÷ S) + 100 × (complex words ÷ W))
Output: estimated years of education. This implementation treats words with three or more estimated syllables as complex, then excludes likely proper nouns and words made polysyllabic only by common endings. It is still a heuristic.
SMOG — U.S. grade level
1.043 × √(P × (30 ÷ S)) + 3.1291
Output: estimated grade from polysyllabic words. It is intended for a 30-sentence sample; shorter results are explicitly provisional.
Coleman–Liau — U.S. grade level
0.0588 × L − 0.296 × N − 15.8
Output: estimated U.S. grade based on letters and sentence frequency. It avoids syllable estimation but can react differently to abbreviations and numbers.
Dale–Chall — vocabulary difficulty
0.1579 × D + 0.0496 × (W ÷ S) + 3.6365 when D > 5%
Output: a difficulty score mapped to grade bands. Unlike length-only formulas, it checks vocabulary familiarity. This browser implementation uses a smaller bundled familiar-word set, so the result is labeled as an estimate and is not a replacement for an official New Dale–Chall implementation.
Formulas disagree because they measure different proxies: syllables, characters, sentence length, polysyllabic words, or vocabulary familiarity. Tokenization and syllable rules also vary between calculators. Use the consensus as a range-finding aid, then read the flagged sentences in context.
Real-world examples
Teachers use readability scores to match assignments to grade level. Content creators check blog posts to keep them easy to scan. Healthcare and government teams verify that public-facing instructions are understandable. Product teams test onboarding text and help articles to reduce support tickets. If you are simplifying a draft, the scores can show whether edits made a real difference.
How this tool processes your text
This readability score calculator runs entirely in your browser. It counts words, sentences, characters, and syllables, then applies multiple formulas to give you a balanced view of complexity. Your text is never uploaded, so you can analyze private or sensitive writing with confidence.
Accuracy, methodology, and limitations
Counting method
- Language: designed and calibrated for English only.
- Words: Unicode letter/number runs; contractions and hyphenated terms remain one token.
- Sentences: terminal punctuation or paragraph breaks, with common titles, initialisms, decimals, and abbreviations protected before splitting.
- Syllables: a documented vowel-group heuristic with silent-e, common suffix, contraction, compound, and frequent exception handling—not a pronunciation dictionary.
- Numbers: count as one word and one syllable because their spoken form is unknown. Proper nouns are counted normally but excluded from Fog complex words when identifiable.
Use scores cautiously
Abbreviations, names, formulas, code, bullet fragments, dialect, and specialist terminology can distort results. Readability formulas do not measure meaning, factual accuracy, organization, page layout, tone, accessibility, reader motivation, or familiarity with the subject.
Privacy: pasted text is analyzed in this page and is not sent to or stored by Starlight Tools.
Editorial responsibility: Starlight Tools editorial team · Last reviewed: 17 July 2026.
Formula sources
Primary and institutional references: Rudolf Flesch, “A new readability yardstick” (1948); Kincaid, Fishburne, Rogers & Chissom, U.S. Navy readability formulas report (1975); McLaughlin, “SMOG Grading” (1969); Coleman & Liau, “A computer readability formula” (1975); and Chall & Dale, Readability Revisited (1995). Dale–Chall vocabulary scoring follows the revised formula concept but uses the smaller local list disclosed above.