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[ARTICLE · art-105376] src=dev.to ↗ pub= topic=developer-tools verified=true sentiment=· neutral

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.

read1 min views1 publishedAug 21, 2026

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 What tools or scripts do you use to analyze text performance in your workflow?

source & further reading
dev.to — original article Amazon Q in Production: 72 Percent Time Saved Why Knowledge Bases Are Better Hosted Online Rather Than as Local Markdown Memory Architecture Quality Standard for LLM Assistants
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