Analyze English text with five established readability formulas, review difficult sentences, compare revisions, and export a private browser-local report.
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Analysis runs locally after a short pause. Nothing you type is sent to the server.
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Maximum 200,000 characters. Very large documents may take a moment after typing stops.
English-language limitation: These formulas do not reliably generalize to Malayalam, Hindi, Tamil, Arabic, or other languages. Mixed-language results may be inaccurate.
Add an article, essay, email, report, lesson, web page, or documentation draft to the editor. Analysis begins locally after a short pause.
Compare Flesch Reading Ease, Flesch-Kincaid, Gunning Fog, SMOG, and Coleman-Liau results instead of relying on a single formula.
Select a highlighted sentence or flagged word to see its counts, classification reasons, and practical review suggestions.
Save the current measurements as the Before version, edit the text, and review how the supported metrics changed.
A passage with familiar words and direct sentences usually receives higher Reading Ease and lower grade estimates.
Input
Keep the receipt. You may return the item within thirty days. Contact us if you need help.Output
The checker displays five estimated scores, classifies the short sentences, and warns that a small sample is less reliable.A long sentence containing several clauses and polysyllabic terms is likely to be flagged for review.
Input
The implementation consequently requires comprehensive configuration, verification, and documentation before organizational deployment can commence.Output
The sentence is classified using its length, estimated syllables, complex-word share, and punctuation, with suggestions to review technical terms and sentence structure.A readability checker estimates how demanding a passage may be to read by measuring visible text features such as sentence length, word length, letter count, and estimated syllables. This checker calculates five established formulas and adds a private writing workspace for reviewing individual sentences.
Flesch Reading Ease uses a higher-is-easier scale. Flesch-Kincaid, Gunning Fog, SMOG, and Coleman-Liau return approximate U.S. grade levels. They may disagree because they measure different combinations of letters, syllables, sentence length, and complex words.
A grade estimate describes the surface complexity of the sample, not the reader's intelligence or the quality of the ideas. Use the target selector as a practical comparison with your intended audience. There is no single correct grade for every document.
Coleman-Liau uses letters, while Flesch-Kincaid relies on estimated syllables. Gunning Fog emphasizes complex words, and SMOG was designed around polysyllabic words in longer samples. A technical passage can therefore receive noticeably different results across formulas.
Start by identifying sentences that carry several separate ideas. Consider splitting independent thoughts, reducing nested clauses, using a direct subject and verb, removing repetition, and defining unfamiliar technical terms. Preserve necessary precision rather than replacing every long word.
The appropriate target depends on the audience, subject, purpose, and context. General public information often benefits from familiar wording and direct sentences, while specialist documentation may require technical vocabulary. Use the target mode as a goal comparison, not as a legal or universal rule.
Readable writing can still be inaccurate, incomplete, dull, or misleading. Complex writing can be appropriate when a subject requires nuance. These formulas do not assess factual accuracy, organization, originality, tone, persuasion, accessibility compliance, or overall writing quality.
The pasted text is analyzed in the browser. It is not sent to an API, placed in a URL, or stored in MongoDB. Optional history is disabled by default and stores only a short label and compact measurements on the current device, never the source text.
Paste or type English prose in the editor, or choose Load sample to explore the interface.
Wait briefly for automatic analysis or select Analyze now to update immediately.
Review the overall estimated grade, target comparison, and five individual formula cards.
Select highlighted sentences to inspect their word count, estimated grade, classification reasons, and deterministic suggestions.
Review potentially difficult words and decide whether readers know the term or need a definition.
Optionally save the current result as Before, revise the text, and compare the measurements.
Copy or export the report as text, JSON, or CSV, or print the ad-free report.
Calculates Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog, SMOG, and Coleman-Liau without inventing a proprietary quality score.
Classifies sentences using transparent rules based on length, estimated syllables, complex-word density, and punctuation.
Lists words that meet visible syllable, character-length, repetition, or selected bureaucratic-language criteria.
Compares the approximate overall grade with public, school, college, professional, or custom targets.
Compares reading ease, grade, sentence length, complex-word percentage, word count, sentence count, and reading time.
Copies summaries and creates TXT, JSON, CSV, and print-friendly reports entirely in the browser.
Review landing pages, product explanations, blog drafts, newsletters, and public-information pages for avoidable reading friction.
Compare passages, discuss sentence complexity, and examine why established formulas can produce different estimates.
Find long sentences and repeated technical terms that may need restructuring or definition.
Save baseline measurements, revise a draft, and compare changes without uploading confidential text.
Use sentence flags as prompts when adapting public, administrative, or instructional material for a broader audience.
The checker first removes URLs and email addresses from word calculations, then detects English alphabetic words, sentence boundaries, and paragraphs. A deterministic heuristic estimates syllables while accounting for vowel groups, silent trailing e patterns, contractions, hyphenated terms, and selected common acronyms. The resulting counts are passed to the five documented formulas. Sentence difficulty is classified separately using sentence length, average estimated syllables, complex-word density, and punctuation. No generative model or artificial intelligence is used.
Accepts typed or pasted English prose, headings, paragraphs, and bullet-style text up to 200,000 characters.
Downloads a human-readable report containing statistics, scores, formulas, sentence flags, difficult words, and limitations.
Exports structured statistics, score metadata, sentence classifications, and flagged-word details.
Exports score, statistic, and flagged-word rows for spreadsheet review.
Analysis runs after a short typing pause, with an Analyze now button for immediate recalculation.
Choose general public, children, middle school, high school, college, professional, or a custom grade.
Keep a baseline measurement in the current tab and compare it with the revised version.
Enable compact device-only history, save up to ten labeled results, or clear them at any time.
This is expected because each formula uses different inputs. Review the range and the underlying sentence and word statistics.
Syllables are estimated by rules rather than a pronunciation dictionary, so names, acronyms, borrowed words, and unusual spellings may differ from spoken pronunciation.
Small changes have a large effect on short samples. Add more representative prose before drawing conclusions.
The tool does not block mixed or non-English input, but English formulas and syllable rules do not reliably describe other languages.
If no score appears, check that the input contains alphabetic English words rather than only numbers, URLs, email addresses, or emoji. If sentence counts seem low, add terminal punctuation to prose that depends on line breaks. For a large document, stop typing briefly so the debounced analysis can finish. Browser privacy settings may prevent optional history from being saved, but analysis and exports will continue to work.
All results are estimates. The syllable heuristic can be inaccurate for names, abbreviations, acronyms, technical vocabulary, unusual spelling, borrowed words, and dialectal pronunciation. SMOG is traditionally more reliable with at least thirty sentences; shorter results are explicitly labeled as estimates. Sentence boundaries in headings, fragments, lists, and unusual punctuation may differ from an editor's judgment. English readability formulas do not reliably generalize to Malayalam, Hindi, Tamil, Arabic, or other languages. The checker does not evaluate truth, usefulness, originality, tone, accessibility compliance, legal adequacy, educational suitability, or overall writing quality, and it does not replace professional review.
Readability calculations run locally in the browser. Pasted text is not sent to an API, included in a URL, written to server logs, or stored in MongoDB. Before-and-after measurements remain in the current tab. Optional history is disabled by default and saves only a user-provided label and compact score statistics in localStorage, never the source text. Users can disable history or clear all saved entries.
Use a representative passage rather than a heading or single sentence.
Compare several formulas and inspect the underlying sentence statistics.
Preserve necessary technical terms and define them when readers may not know them.
Review flagged sentences manually instead of applying every suggestion mechanically.
Treat the target level as an audience goal, not a universal requirement.
Check factual accuracy, structure, tone, and accessibility separately.
Begin with the reader's task and the information they need first. Prefer familiar words when they preserve the intended meaning, but do not remove necessary precision. Keep related ideas together, separate unrelated ideas, and make the main subject and action easy to find. Read revised passages aloud and ask representative readers for feedback. Use readability measurements as one input in a broader editorial process.
Flesch Reading Ease = 206.835 - 1.015 × (words ÷ sentences) - 84.6 × (syllables ÷ words).
Flesch-Kincaid Grade Level = 0.39 × (words ÷ sentences) + 11.8 × (syllables ÷ words) - 15.59.
Gunning Fog = 0.4 × ((words ÷ sentences) + 100 × (complex words ÷ words)).
SMOG = 1.043 × √(polysyllables × (30 ÷ sentences)) + 3.1291.
Coleman-Liau = 0.0588 × L - 0.296 × S - 15.8, where L is letters per 100 words and S is sentences per 100 words.
Display values are rounded to one decimal place.
Invalid divisions and non-finite values are prevented.
The overall estimated grade uses the middle two values after sorting the four grade-formula results.
Flesch Reading Ease is useful for an intuitive higher-is-easier result, while Flesch-Kincaid translates sentence and syllable measurements into a grade estimate. Gunning Fog gives more influence to complex words. SMOG focuses on polysyllabic words and is best known for longer samples. Coleman-Liau avoids syllable estimation by using letter counts. None is universally superior, so the checker presents them separately and explains why their results may differ.
This checker is intended for writers, students, teachers, marketers, editors, bloggers, documentation teams, content designers, and public-information authors who want a private first-pass review of English prose. It can support revision and discussion, but it does not replace editors, teachers, accessibility specialists, subject-matter experts, or legal review.
No. It uses deterministic text parsing, a local syllable heuristic, established readability formulas, and transparent sentence-classification rules.
No. The right level depends on the audience, purpose, and subject. Specialist material may require precise technical vocabulary even when it increases formula results.
They measure different features. Some use syllables, some emphasize complex words, and Coleman-Liau uses letter counts. Differences are expected.
They are reasonable English estimates, not dictionary pronunciations. Names, acronyms, technical terms, borrowed words, and unusual spellings can be counted differently from speech.
The tool will not block it, but the formulas and syllable rules are designed for English and may produce inaccurate or meaningless results for other languages.
No text is uploaded or stored remotely. Optional local history stores only compact measurements and a label, never the pasted text.
No. It measures selected surface features and cannot judge factual accuracy, usefulness, organization, tone, originality, or overall quality.
SMOG is traditionally applied to samples of about thirty sentences. The tool scales the formula for shorter text but clearly marks the result as less reliable.