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Keyword Density Checker

Count Unicode words and an optional exact phrase, then inspect transparent density percentages without ranking promises.

Privacy: your files never leave your device. All processing happens locally in your browser.

How to use

  1. 1.Paste the visible text you want to inspect and optionally enter one exact keyword or phrase.
  2. 2.Choose the minimum word length for displayed single-word rows, then select Check keyword density.
  3. 3.Review counts and surrounding prose, using percentages as descriptive evidence rather than a ranking target.

About Keyword Density Checker

Keyword Density Checker provides a transparent local frequency report for pasted text. It counts total word tokens, unique normalized tokens, the 50 most frequent eligible words, and an optional exact keyword or phrase. Every percentage uses a disclosed denominator, and the page makes no claim that a particular density will improve search rankings.

Tokenization uses Unicode letter and number properties, so words written beyond basic ASCII remain countable. An internal apostrophe or typographic apostrophe can stay inside a token, allowing forms such as don't and l’été to remain single units. Punctuation, dashes, symbols, and whitespace separate tokens. Matching is case-insensitive through Unicode lowercase conversion.

The Minimum word length control affects only which single-word rows appear in the frequency table. Total words and the density denominator still include every recognized token. This distinction prevents a filtered report from quietly inflating percentages. A minimum of two, for example, hides one-character rows but does not pretend those tokens were absent from the source.

Single-word density equals that word’s count divided by total tokens multiplied by 100. The optional phrase is tokenized by the same rules and matched as a contiguous sequence. Phrase matches may overlap. The phrase density shown is occurrence count divided by total tokens multiplied by 100; it is not divided by the number of possible starting positions or multiplied by phrase length.

For the test sentence “Red blue red. RED green blue red-blue.” the tokenizer finds eight total words. Red appears four times for 50%, blue appears three times for 37.5%, and green appears once for 12.5%. The exact phrase red blue occurs twice, producing a phrase density of 25% under the documented denominator.

Rows sort by descending count and then alphabetically for deterministic ties. The table displays at most 50 terms to keep the interface readable, while total and unique counts still cover the complete input. The analysis is bounded at 500,000 characters and rejects empty or token-free content rather than returning a misleading zero report.

This tool deliberately has no stop-word list, stemming, lemmatization, synonym expansion, language detector, HTML boilerplate remover, or search-volume data. Those features require language- and corpus-specific reference choices. Paste only the main text you intend to inspect; navigation, footer, markup, and repeated templates can distort the result.

Density is descriptive, not prescriptive. Search engines evaluate usefulness, intent satisfaction, originality, structure, links, reputation, and many other signals. Repeating a phrase to reach a numeric target can make copy worse and may look like keyword stuffing. Use the report to notice accidental repetition, missing terminology, or editorial imbalance, then revise for readers.

The checker does not fetch a URL, render JavaScript, compare competitors, connect to Search Console, estimate ranking difficulty, or publish content. It also does not send the text to an AI model. Everything runs in the current browser tab, which is helpful for drafts that should not leave the device, though users should still avoid exposing sensitive text on shared machines.

For a useful review, paste the final visible copy, enter the exact phrase whose repetition you want to inspect, run the analysis, and read the surrounding sentences rather than acting on percentages alone. Compare revisions using the same tokenizer and denominator. Keep human editorial judgment and actual search performance data above any isolated density number.

Methodology & sources

Bound input at 500,000 characters; lowercase text; tokenize Unicode letters and numbers with optional internal straight or typographic apostrophes; count all tokens for the denominator and unique total; filter displayed rows by code-point length; sort by count then term; keep the top 50; tokenize an optional query identically; count contiguous overlapping phrase occurrences; and calculate count / total tokens × 100. Embed no stop-word or ranking-threshold reference data.

Frequently asked questions

What denominator does density use?
Every displayed density divides the count by all recognized word tokens, including words hidden by the minimum-length table filter.
Does the tool remove stop words?
No. It intentionally embeds no language-specific stop-word list.
Will a specific percentage improve rankings?
No. There is no ranking guarantee or recommended target; usefulness and natural writing come first.
Does the checker fetch or analyze a live URL?
No. It analyzes only the text pasted into the current browser tab.

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