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About this tool
Count words, sentences, paragraphs and syllables, then score readability grade for any text.
Text Statistics Analyzer breaks any passage down into words, unique words, characters, sentences, paragraphs and syllables, then runs six standard readability formulas over it — Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Coleman-Liau and the Automated Readability Index. It is built for writers, editors, teachers and content marketers who need to know not just how long a piece is, but how hard it is to read. Everything runs in your browser, so drafts and student work never leave your device.
Open Text Statistics Analyzer on AltFTool — it loads instantly in your browser.
Paste or type the text you're working with.
Choose how it should be transformed or analyzed.
Copy the finished text into your document or post.
Compare Flesch-Kincaid, Gunning Fog, SMOG, Coleman-Liau and ARI side by side instead of trusting a single score.
Counts and scores recalculate on every keystroke, so you can see an edit improve readability instantly.
The whole analysis happens in your browser — unpublished copy and confidential documents stay local.
Most general web and business writing aims for 60-70, which reads at roughly an 8th-9th grade level. Scores above 80 feel very easy and conversational, while anything under 30 usually needs a university-level reader.
The tool uses the standard vowel-group heuristic with silent-e and silent -ed corrections. It matches dictionary counts for the large majority of English words, which is exactly the basis the classic readability formulas were calibrated on.
Each formula weighs different signals: Gunning Fog and SMOG count words of three or more syllables, Coleman-Liau and ARI use character length instead, and Flesch-Kincaid blends sentence length with syllables. Reading them together gives a more reliable picture than any single number.
A sentence ends at a full stop, question mark or exclamation mark, or at a line break so that headings and bullet points each count once. Abbreviations such as 'Dr.' can occasionally split a sentence early, which is normal for automated readability scoring.