Free Keyword Density Checker and Word Frequency Counter

A keyword density checker measures how often words or phrases occur relative to the total number of words in a text. This browser tool also works as a word frequency counter: paste a draft, choose one-word through four-word phrases, optionally remove common stop words, and inspect the ranked results.

Your text is processed in your browser. It is not uploaded or saved by this calculator, and no account is required.

To check keyword density, paste the draft, choose a one- to four-word phrase

length, and review each phrase's count and percentage. Density describes

frequency in this text; it is not a target that guarantees rankings or content

quality.

How to Check Keyword Density

  1. Paste the text you want to analyze.
  2. Choose a phrase length from one to four words.
  3. Keep common stop words excluded for topic-focused results, or include them for a literal frequency list.
  4. Set a minimum occurrence count.
  5. Review each phrase’s count and density percentage.
  6. Export the visible table as CSV if you need to compare revisions.

The tool analyzes pasted text only. It does not fetch or inspect a live URL.

How Keyword Density Is Calculated

For a phrase containing one or more words, the tool uses:

Density = phrase occurrences × words in the phrase ÷ total words × 100

For example, if a two-word phrase appears 5 times in a 500-word draft, its density is:

5 × 2 ÷ 500 × 100 = 2%

The denominator is the full tokenized word count. Removing stop words changes which phrases appear in the result table, but it does not shrink the total-word denominator.

Word Frequency vs Keyword Density

Word frequency is a count. If “research” occurs 12 times, its frequency is 12.

Keyword density is a proportion. It relates those occurrences to the size of the text, which makes comparisons across drafts easier. A count of 12 represents a different concentration in a 300-word page than in a 3,000-word report.

This single owner covers both tasks because the underlying analysis is the same. Separate near-duplicate pages would not provide a meaningfully different tool.

One-Word Through Four-Word Phrases

Choose the phrase length that matches the question:

Phrase lengthUseful for
One wordrepeated vocabulary, entities, and topic terms
Two wordsshort concepts and recurring modifiers
Three wordsspecific topics, names, and repeated constructions
Four wordslonger phrases and repeated sentence fragments

Phrase counting uses consecutive words after punctuation is removed. It does not combine words across an omitted stop word.

What Stop-Word Filtering Does

Stop words are common structural words such as “the,” “and,” “of,” and “to.” Excluding them can make topical terms easier to see in a one-word list.

Filtering is optional because common words may matter in linguistic, legal, support-ticket, survey, or exact-copy analysis. For multi-word phrases, the filter excludes a phrase when every word in it is a stop word; phrases containing a meaningful term remain visible.

The included English list is practical rather than universal. Language, domain, and research method can require another definition.

There Is No Universal Ideal Keyword Density

There is no universal keyword-density percentage that guarantees rankings or identifies a penalty threshold. Search quality depends on whether content is useful, accurate, original, well structured, and appropriate for the reader—not on reaching one repeated-term ratio.

Use density as a diagnostic:

  • find accidental repetition;
  • compare versions of the same page;
  • verify that an important term is present;
  • spot phrases that dominate a short draft;
  • investigate unnatural or templated wording.

Do not add repetitions simply to reach a number. If a phrase is required for accuracy, clarity matters more than arbitrary variation.

How to Review Repeated Words

High frequency is not automatically a problem. Product names, legal terms, technical concepts, and the central subject of a page may repeat naturally.

Review a result in context:

  1. Is the repeated term necessary for meaning?
  2. Does it occur in headings, navigation, citations, or boilerplate?
  3. Would a pronoun or synonym make the passage less precise?
  4. Are several occurrences packed into one paragraph?
  5. Does the wording sound repetitive when read aloud?

Use the word counter when you need document totals without a ranked phrase table. Use the sentence counter to inspect sentence-length patterns.

What the Results Mean

ResultMeaning
Total wordsAll tokenized words in the pasted text
Unique wordsDistinct lowercased one-word tokens
Visible phrasesRows matching the current phrase length, filter, and minimum count
Most frequentThe first visible phrase and its count
CountNumber of overlapping phrase occurrences
DensityPhrase words represented by those occurrences as a percentage of total words

Overlapping phrases are counted. In “very very very,” the two-word phrase “very very” occurs twice.

Privacy and Limitations

The analyzer does not transmit pasted text to Humanizer PRO. Clear the text after use on a shared device.

Limitations include:

  • it accepts pasted text rather than opening URLs or files;
  • words are normalized to lowercase for counting;
  • punctuation is removed during tokenization;
  • inflected forms such as “write” and “writing” remain separate;
  • synonyms are not grouped;
  • the built-in stop-word list is English;
  • phrase matching is consecutive and literal;
  • exported CSV contains only the currently visible table;
  • the tool does not make ranking predictions.

Frequently Asked Questions

Is this keyword density checker free?

Yes. It is free, requires no account, and analyzes pasted text in your browser.

Does it save the text I paste?

No. The browser analyzer does not upload or save your text.

What is the keyword density formula?

Multiply phrase occurrences by the number of words in the phrase, divide by total words, and multiply by 100.

What is a good keyword density?

There is no universal good percentage. Use the result to investigate repetition and topical coverage, not as a ranking target.

Can it count repeated phrases?

Yes. Choose one-, two-, three-, or four-word analysis.

Can I include common words?

Yes. Turn off stop-word filtering to include literal common-word results.

Can it analyze a website URL?

No. This privacy-first version analyzes text you paste. Copy the relevant page text into the input.

Can I export the results?

Yes. Export the currently visible result table as a CSV file.

Measure Repetition, Then Edit for the Reader

Use counts and density to locate patterns. Read the relevant passage before replacing anything, and preserve required names, claims, quotations, and technical terms.

Humanize up to 300 words and review the editable result →