Text analysis tools

Text analysis tools answer questions about a piece of writing that aren't obvious from reading it: how long is this article in words and characters; what's its reading difficulty; which keywords appear most frequently. These metrics matter for writers hitting word-count targets, editors checking accessibility, and SEO work where keyword density and readability scores guide content decisions.

The word counter reports characters (with and without spaces), words, sentences, and paragraphs simultaneously. Useful for academic word limits, social-media character limits (tweets at 280, LinkedIn posts at 3000, Instagram captions at 2200), and reading-time estimation (roughly 200-250 words per minute for adult readers in their native language). The readability checker applies the standard formulas: Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog, and SMOG. Each scores roughly the same input differently because each weighs sentence length, syllable count, and word complexity differently.

The keyword density analyzer reports word and phrase frequency normalised by document length, useful for SEO content where overusing a target keyword triggers stuffing penalties (target around 1-2% for primary keywords). For writers working in non-English languages, the readability formulas are tuned for English and won't produce meaningful scores for other languages.