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.
🛠️ Key Technical Highlights:
- 100% Client-Side Processing: Tokenization and term frequency calculations happen entirely in the browser using pure JavaScript. Your draft content never leaves your machine.
- Instant Text Analysis: Provides real-time breakdown of 1-word, 2-word, and 3-word phrase frequencies to ensure natural content flow without keyword stuffing.
- Vibe Coding Workflow: Used LLM prompts to quickly implement clean text-sanitization regex, word-stemming logic, and dynamic array sorting for frequency output.
💡 Vibe Coding Insight:
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.
🔗 Check it out & Feedback:
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?
Top comments (2)
I'd love to hear your thoughts on the UI or any additional NLP features you'd like to see!
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