Readability Score
Analyze text readability using Flesch-Kincaid and other readability formulas.
SMOG grade requires at least 30 sentences.
About this tool
The Readability Score tool analyzes how easy or difficult your text is to understand by applying established readability metrics like Flesch-Kincaid Grade Level and Flesch Reading Ease. These formulas measure factors such as sentence length, word complexity, and syllable count to give you actionable insights into your writing's clarity. Understanding your text's readability is essential for writers, educators, and content creators who want to ensure their message reaches the intended audience effectively.
Simply paste your text into the tool and it will instantly calculate multiple readability scores. The Flesch Reading Ease score ranges from 0-100, where higher scores indicate easier reading, while the Flesch-Kincaid Grade Level shows the U.S. school grade needed to understand the text. The tool displays detailed metrics including word count, sentence count, average sentence length, and syllable analysis. This is particularly useful for creating blog posts, academic papers, marketing copy, and educational materials that need to hit a specific audience comprehension level.
Keep in mind that readability formulas work best on English text and may be less accurate with technical terminology, proper nouns, or specialized vocabulary. The scores are guidelines rather than absolute rules—context, word choice, and formatting also play important roles in overall clarity. Whether you're refining a student essay, optimizing web content for broader appeal, or ensuring your professional communication is accessible, this tool provides the quantitative feedback you need to improve your writing.
Frequently Asked Questions
Code Implementation
import re
import math
def count_syllables(word: str) -> int:
word = word.lower().strip(".,!?;:")
if len(word) <= 3:
return 1
word = re.sub(r'e$', '', word)
vowels = re.findall(r'[aeiouy]+', word)
return max(1, len(vowels))
def readability_scores(text: str) -> dict:
sentences = len(re.findall(r'[.!?]+', text)) or 1
words_list = re.findall(r'\b\w+\b', text)
words = len(words_list) or 1
syllables = sum(count_syllables(w) for w in words_list)
complex_words = sum(1 for w in words_list if count_syllables(w) >= 3)
flesch_ease = 206.835 - 1.015 * (words / sentences) - 84.6 * (syllables / words)
fk_grade = 0.39 * (words / sentences) + 11.8 * (syllables / words) - 15.59
gunning_fog = 0.4 * ((words / sentences) + 100 * (complex_words / words))
return {
"flesch_reading_ease": round(flesch_ease, 1),
"flesch_kincaid_grade": round(fk_grade, 1),
"gunning_fog_index": round(gunning_fog, 1),
"word_count": words,
"sentence_count": sentences,
"syllable_count": syllables,
}
sample = "The quick brown fox jumps over the lazy dog. It was a beautiful day in the park."
print(readability_scores(sample))Comments & Feedback
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