Text Analysis Tool

The tool ingests plain text or pasted content and computes metrics in real time: word count, character count, sentence count, average word length, and tokenization. It reports readability scores (Flesch Reading Ease, Flesch-Kincaid Grade) and lexical diversity (type-token ratio). It can flag unusual patterns or repeated phrases to aid quality control.\nConceptually, the system normalizes whitespace, removes extraneous formatting, tokenizes text, and applies standard formulas to derive numeric signals. Optional advanced metrics include sentence length distribution, keyword density, and simple sentiment indicators. Outputs are structured and can be consumed by downstream workflows or APIs.\nAudience includes writers, editors, researchers, and content teams who need objective text metrics to guide edits, compare versions, or audit content quality. Unique value lies in combining core readability, lexical metrics, and chunked analysis in a single pass without relying on external NLP services. Use cases include draft evaluation, quality checks for large documents, and preparing material for style guides.