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Keyword Density Analyzer

A free SEO tool to analyze the keyword frequency and density of text content

Text to Analyze
Text Statistics
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Total Words
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Unique Words
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Total Characters
Top 10 Keywords
# Keywords Count Density
# Phrase Count Density
# Phrase Count Density
What is Keyword Density?

Keyword Density is a metric that shows how often a specific keyword appears as a percentage of the total word count in a web page or text. It is an important factor in SEO (Search Engine Optimization) - maintaining appropriate keyword density helps search engines accurately identify the topic of a page. Generally, a keyword density of 1-3% is recommended, and excessive keyword usage (keyword stuffing) can negatively impact search rankings.

Key Features

  • Analyze word frequency and keyword density using 1- to 3-word N-grams.
  • Automatically filter out Korean and English stop words to extract only meaningful keywords.
  • View the top 10 keywords at a glance with a visual chart.
  • Provides text statistics such as total word count, unique word count, and total character count.
  • Copy the analysis results to the clipboard to use in SEO content analysis.

How to Use

  1. Paste the text you want to analyze into the input field.
  2. If needed, set the stop word exclusion and minimum keyword length options.
  3. Click the "Analyze" button to display the keyword density results.
  4. Check the frequency by N-gram in the 1-word, 2-word, and 3-word phrase tabs.
  5. Save the analysis results with the "Copy Results" button.
Frequently Asked Questions

Generally, a keyword density of 1-3% is appropriate. Higher densities may be considered keyword stuffing and could result in search engine penalties. It is important to place key keywords appropriately while maintaining natural writing.

N-grams are phrases consisting of N consecutive words from a text. A 1-gram (unigram) is a single word, a 2-gram (bigram) is a 2-word phrase, and a 3-gram (trigram) is a 3-word phrase. N-gram analysis helps identify frequently used phrase patterns, making it useful for long-tail keyword strategies.

Stop words are common words that have no significant meaning in text analysis. In Korean, particles (은, 는, 이, 가, 을, 를, etc.) are typical examples, while in English, articles (the, a, an) and prepositions (in, on, at, etc.) are common. Excluding stop words allows you to analyze only meaningful keywords.
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