Built N-gram Analyzer micro-tool to inspect linguistic patterns in text—would love your feedback!

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Hey Product Hunt community! đź‘‹

When analyzing text structure—whether for SEO content optimization, linguistic study, or natural language processing tasks—examining individual words often isn't enough. Analyzing sequence patterns like Unigrams, Bigrams, and Trigrams helps reveal how words pair together and highlight repetitive contextual phrasing.

To make this analysis quick and accessible without installing heavy Python scripts or complex software, I vibe-coded a dedicated, browser-based N-gram Analyzer micro-tool.

Key features & functionality:

  • Multi-Level N-gram Breakdown: Instantly extracts and measures Unigrams (1-word), Bigrams (2-word), and Trigrams (3-word) sequences in real-time.

  • Phrase Structure Inspection: Helps spot overused multi-word combinations and natural phrasing patterns across articles.

  • Fast & Client-Side Execution: Built with clean JavaScript to ensure 100% client-side text processing, zero server latency, and complete privacy.

I built this tool using PHP and vanilla JS to keep it fast and responsive for everyday text auditing. You can test it out directly here:

Question for text builders & SEOs: When auditing content structure or training data, how often do you rely on N-gram frequency vs. semantic vector analysis? Would love to hear your insights or feature suggestions! 🚀

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Thanks for stopping by! I'm thinking of adding stop-word exclusion toggles and 4-gram support in the next iteration. Feel free to test it out, drop any feedback, or share what micro-tools you're building as well! 🙌