Keyword density is the percentage of times a specific word or phrase appears relative to the total word count of a document. Modern SEO does not rely on hitting a specific density target — that approach was outdated by 2011 with Google's Panda update. Keyword density analysis is still useful for identifying overused terms (likely stuffed content), confirming topical focus, and comparing your content profile against top-ranking competitors.

These refer to n-gram sizes — the number of consecutive words treated as a single phrase. 1-word (unigram) analysis shows the most frequent individual terms. 2-word (bigram) analysis shows frequent two-word combinations like "digital marketing" or "free tool". 3-word (trigram) analysis surfaces longer phrases that often exactly match search queries. For SEO keyword research, bigrams and trigrams are generally more actionable than unigrams.

Stop words are common function words like "the", "a", "is", "and", "for", and "of" that appear in virtually every text and carry no topical meaning. Filtering them (the default setting) reveals the meaningful content terms. Disable the filter only if you are analyzing syntactic patterns, studying linguistic structures, or building a corpus that intentionally includes all tokens.

No. All keyword extraction is performed using client-side JavaScript within your browser. Your text, whether it contains proprietary content, confidential copy, or unpublished articles, is never transmitted to our servers and is never stored in any database. The tool works entirely offline once the page has loaded.

Yes. If any keyword shows a density above 3–5% in a 1-gram analysis, that is a signal worth investigating. Google's quality guidelines do not publish a hard density threshold for penalties, but content where the primary keyword appears at 8–10%+ density will typically read unnaturally and may be flagged. The frequency count and bar chart make it easy to spot outlier terms instantly.

Click the "Export CSV" button in the results panel header. This generates a CSV file containing the phrase, occurrence count, and density percentage for each extracted keyword. The file downloads directly to your device — no server interaction required. You can open it in Excel, Google Sheets, or any data tool for further analysis.

The minimum word length filter excludes very short words from the analysis. Setting it to 3 (the default) filters out words like "in", "at", "or", and "no" that are too short to carry meaningful topical signal. Setting it to 4 or 5 produces a cleaner list for longer-form content analysis. This setting works alongside the stop word filter — both can be active simultaneously.