AI Readability Analyzer
Analyze text readability with Flesch-Kincaid, Gunning Fog, Coleman-Liau, SMOG, and ARI scores. Get grade level estimates and improvement suggestions — free online readability checker.
Overall Readability
—
—
Flesch-Kincaid Grade
—
US grade level
Gunning Fog Index
—
Years of education
Coleman-Liau Index
—
US grade level
SMOG Index
—
Years of education
Automated Readability (ARI)
—
US grade level
Reading Time
—
At 200 WPM avg
Text Statistics
—
Words
—
Sentences
—
Syllables
—
Complex Words
—
Characters
—
Paragraphs
—
Avg Words/Sentence
—
Avg Syllables/Word
Audience Match
About AI Readability Analyzer
The AI Readability Analyzer evaluates how easy your text is to read using five established readability formulas used by educators, publishers, and content strategists worldwide. Each formula approaches readability from a different angle — some count syllables, others measure word length or sentence complexity — giving you a comprehensive, multi-dimensional view of your content's reading difficulty. All analysis runs instantly in your browser with no data transmitted to any server.
Understanding the readability scores
The Flesch-Kincaid Reading Ease score ranges from 0-100, where higher scores mean easier reading (60-70 is ideal for web content). The Flesch-Kincaid Grade Level maps text to a US school grade (e.g., 8.0 means an 8th grader can understand it). The Gunning Fog Index estimates years of formal education needed. The Coleman-Liau Index uses character counts instead of syllables, making it more consistent across different word types. The SMOG Index focuses on polysyllabic words and is considered the most reliable for healthcare and technical content. The Automated Readability Index (ARI) uses characters per word and words per sentence for a character-based grade estimate.
Why readability matters for SEO and engagement
Google's Search Quality Guidelines emphasize content that is easy to understand and provides clear value to users. While readability score itself is not a direct ranking factor, its effects are: content written at appropriate reading levels receives longer dwell times, lower bounce rates, and higher engagement — all of which are user experience signals that search engines measure. Studies show that lowering content from a 12th-grade to an 8th-grade reading level can increase engagement by 40-60% for general audiences.
Frequently Asked Questions
What readability formulas does this tool use?
The tool calculates five industry-standard readability scores: Flesch-Kincaid Reading Ease (0-100 scale), Flesch-Kincaid Grade Level (US grade equivalent), Gunning Fog Index (years of education needed), Coleman-Liau Index (character-based grade level), SMOG Index (years of education needed for 100% comprehension), and Automated Readability Index (ARI). Each formula uses different text characteristics — some count syllables, others count characters or sentence length — providing a comprehensive readability profile.
What is a good readability score for web content?
For general web content, aim for a Flesch-Kincaid Reading Ease score of 60-70 (8th-9th grade level). Blog posts and marketing copy perform best at 7th-8th grade level. Technical documentation can target 10th-12th grade. Academic papers may score at college level. The key principle is: write at or below your audience's expected reading level for maximum engagement and comprehension.
Does this tool work with non-English text?
The readability formulas were designed for English text and produce the most accurate results with English. They can process text in other Latin-script languages, but the grade level interpretations may not be accurate because syllable counting and sentence structure rules differ across languages.
How is the syllable count calculated?
The tool uses a heuristic algorithm that counts vowel groups in each word, with adjustments for common English patterns like silent-e endings, -le suffixes, and common prefixes. While not 100% accurate for every word (English pronunciation is notoriously irregular), the algorithm produces reliable results when averaged across a full text — which is how readability formulas are designed to work.