Count characters, words, unique words, sentences, paragraphs and lines in a piece of text, plus average word/sentence length and an estimated reading time. Use this to check length limits or to profile a draft before editing.

Produce an extractive summary by scoring each sentence on the frequency of the meaningful words it contains and returning the highest-scoring sentences in their original order. Works fully offline; no model call is made.

Return the most frequent meaningful words in the text, with counts and relative frequency. Common English stopwords and very short tokens are filtered out. Useful for tagging, SEO checks or spotting what a document is actually about.

Compute Flesch Reading Ease and Flesch-Kincaid grade level for the text, with a plain-language interpretation. Use it to check whether a draft matches its intended audience before publishing.

Rewrite text into a naming convention: snake_case, kebab-case, slug, camelCase, PascalCase, CONSTANT_CASE, Title Case, Sentence case, UPPER or lower. Handles input that is already in any of these styles.

Pull structured items out of free text: email addresses, URLs, #hashtags, @mentions, phone numbers and standalone numbers. Results are de-duplicated and returned in the order they first appear.

Return a unified diff between two versions of a text, line by line, so edits between a draft and a revision can be reviewed precisely. Returns a note when the two inputs are identical.