Developer Builds Privacy-First Client-Side N-gram Analyzer for Text Auditing

A developer has created a lightweight, browser-based N-gram Analyzer designed to help writers and content editors identify repetitive phrases and evaluate vocabulary diversity in their text. The tool runs entirely on the client side, meaning user input is never sent to external servers, addressing privacy concerns around sensitive or unpublished documents. N-grams are contiguous word sequences of varying lengths — from single words (unigrams) to four-word phrases (4-grams) — and analyzing their frequency helps assess a document's thematic focus and writing style. The JavaScript utility cleans input text, segments it into words with Unicode support for accented characters, and uses a sliding window algorithm to count phrase occurrences. The project was shared on DEV Community as a technical walkthrough of the implementation logic and the case for local browser processing.