Readability Score Checker

Analyze text with five industry-standard readability formulas at once.

How to Use Readability Score Checker

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Enter TextType or paste your text into the field above
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ProcessClick the button to run the tool
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Use ResultCopy your output instantly, no signup needed

Readability Score Checker — Free Text Utility

Readability Score Checker runs your text through five widely-used readability formulas simultaneously — Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, SMOG Index, and Coleman-Liau Index — giving a rounded picture of how difficult your writing is to read rather than relying on a single formula that might not fit your content type. Each formula weighs sentence length and word complexity slightly differently: Flesch-Kincaid and Gunning Fog map to US school grade levels, SMOG is specifically designed for healthcare and consumer-facing materials, and Coleman-Liau uses character count instead of syllable estimation, making it useful as a cross-check when syllable counting might be imprecise. Content teams, technical writers, and UX writers use these scores to verify their writing matches the target audience's reading level.

Keywords and Search Terms

People searching for this tool use terms like: readability score checker, flesch reading ease calculator, readability formula tool, text difficulty analyzer, flesch kincaid calculator. Tooliby provides this utility free with no signup, no watermarks, and no data logging.

Privacy — Your Data is Never Stored

Every input you paste into Tooliby text tools is processed in memory and immediately discarded. We do not log inputs, store results, or analyze your data.

Frequently Asked Questions

Each formula was calibrated on different text types and has different blind spots — cross-referencing multiple formulas gives more confidence than relying on any single score.
Most style guides for general web and consumer content recommend targeting an 8th-9th grade reading level (Flesch-Kincaid around 8-9), even for well-educated audiences, since easier text is read and understood faster.
SMOG was developed specifically for healthcare materials and is often required or recommended for patient-facing medical content and consent forms.
Syllable counting is inherently approximate for irregular words; Coleman-Liau sidesteps that by using letters-per-word and sentences-per-word instead, which some consider more objectively measurable.
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