How I Vibe-Coded a Fast Client-Side Keyword Density Analyzer for SEO Content

A developer used AI-assisted coding to build a client-side Keyword Density Analyzer that runs entirely in the browser, addressing privacy concerns with third-party SEO tools. The tool leverages regex sanitization and pure helper functions to handle text parsing edge cases efficiently.

Hey DEV community 👋 When optimizing content for SEO, analyzing keyword density is a daily routine. However, sending long drafts to third-party servers raises privacy concerns, and many existing tools are overly clunky. To solve this, I vibe-coded a lightweight Keyword Density Analyzer that runs 100% locally in your browser . Handling edge cases in text parsing like filtering stop words, punctuation, and Unicode characters can get tedious. Prompting the AI to isolate regex sanitization into pure helper functions saved a ton of boilerplate time while keeping client-side performance lightning fast. I'd love to hear your thoughts on the UI or any additional NLP features you'd like to see 👉 Live Demo: Keyword Density Analyzer https://voviethoang.com/en/tool/keyword-density-analyzer What tools or scripts do you use to analyze text performance in your workflow?