textstat — Readability & SEO Text Scoring

textstat — Readability & SEO Text Scoring

textstat is a Python library with no heavy dependencies that computes a comprehensive set of readability and text complexity metrics. For content marketers and SEO specialists, it provides instant objective scores for any piece of copy — blog posts, landing pages, email subjects, ad copy — enabling data-driven content optimization and readability targeting by audience.

Key Features

• 12+ readability formulas: Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG Index, Automated Readability Index, Coleman-Liau, Linsear Write, Dale-Chall, and more
• Grade-level estimates for audience targeting
• Reading time estimation
• Syllable, word, sentence, and lexicon counting
• Multi-language support for international content teams

Quick Start

pip install textstat

import textstat

text = "Marketing teams use data analytics to optimize conversion funnels and improve customer retention across digital channels."

print(textstat.flesch_reading_ease(text))      # 0-100, higher = easier
print(textstat.flesch_kincaid_grade(text))     # US grade level
print(textstat.gunning_fog(text))              # Fog index
print(textstat.text_standard(text))            # Consensus grade
print(textstat.reading_time(text, ms_per_char=14.69))  # seconds

npx ai-supply add textstat-readability-scoring

Curated mirror of the open-source textstat (MIT). Get it from the source.