Text Analyzer

The Text Analyzer provides rapid quantitative insights into text content. It computes foundational metrics such as word counts, character counts, sentence counts, and average lengths, alongside readability scores and lexical diversity. This enables objective assessment of complexity and clarity.
Conceptually, input is normalized and tokenized, then analyzed with standard formulas to produce both global statistics and distributional data, such as top terms and token frequencies. The approach supports quick spotting of dense paragraphs, lengthy sentences, or repetitive terminology that may hinder comprehension.
Unique value lies in real-time updates, lightweight processing, and straightforward export options, which help writers and editors iterate efficiently. Although focused on analysis rather than grammar, it complements editing by quantifying readability trends across drafts and pages. Use cases include blog posts, white papers, product documentation, and research briefs where reproducible text metrics facilitate benchmarking and optimization.
Core features include multi-mmetric output (word/character counts, sentence counts, reading scores), readability benchmarks (Flesch, FK, Gunning Fog, SMOG), lexical diversity analysis, and token frequency previews, all applicable to English and many languages with caveats.