Keyword Density Checker

Analyze exact word frequencies, density percentages, and N-gram phrases from any text or URL instantly.

Client-Side Heuristics

For single analyses, your browser natively executes high-performance Regex loops. It filters out English stop-words instantly, creating unigrams, bigrams, and trigrams without transferring your private text to our servers.

Python NLTK Backend

When processing massive CSV files containing thousands of URLs, we offload the work to our dedicated Python cloud. We utilize the Natural Language Toolkit (NLTK) to efficiently parse HTML content and extract keyword metrics globally.

Frequently Asked Questions

Keyword density is the percentage of times a keyword or phrase appears on a webpage compared to the total number of words. It was traditionally used by search engines to determine relevance, and while TF-IDF is more modern, density remains a vital foundational metric.

When you analyze pasted text or a single URL, the processing happens entirely within your web browser using highly optimized JavaScript arrays to filter out English stop-words and calculate exact N-gram frequencies instantly.

To prevent your browser from crashing when analyzing thousands of URLs, uploading a CSV transfers the workload to our backend servers. Our Python workers utilize the industry-standard NLTK (Natural Language Toolkit) library to extract text, filter stop-words, and return a comprehensive CSV.

Yes, both single text analysis and massive bulk NLP tracking are 100% free.