Word Density Counter

Analyze text to find the most frequently used words and keyword density.

Keyword Density Checker: Analyze Text Frequency

Analyze the repetition of words in your content with our free Keyword Density Checker. Essential for SEO specialists, copywriters, and editors, this tool breaks down your text to show which words appear most frequently and calculates their density percentage. This helps you avoid keyword stuffing and ensures your content stays focused on the right topics.

Instant Analysis

Simply paste your text and see the top 10 most frequent words and their percentages immediately.

Smart Filtering

Automatically filters out punctuation and short words (less than 3 characters) to focus on meaningful content.

SEO Optimization

Identify overused words that might trigger spam filters in search engines.

What is Keyword Density?

Keyword density is the percentage of times a keyword or phrase appears on a web page compared to the total number of words on the page. In SEO, it is used to determine whether a web page is relevant to a specified keyword or phrase.

Formula: (Number of times keyword appears / Total word count) × 100

Best Practices for SEO

  • Aim for 1-2%: Most SEO experts recommend a keyword density between 1% and 2%. Anything higher than 3% may be considered "keyword stuffing".
  • Write Naturally: Always prioritize readability for humans over statistics for bots.
  • Use Synonyms: Instead of repeating the same word, use LSI (Latent Semantic Indexing) keywords and synonyms to provide context.

Frequently Asked Questions

Does this count "stop words"?

Currently, it filters out words shorter than 3 characters, which catches many common stop words like "a", "an", "is", "of". Longer stop words like "that" or "this" are counted.

What is Keyword Stuffing?

Keyword stuffing is the practice of loading a webpage with keywords in an attempt to manipulate a site's ranking in Google search results. It leads to a bad user experience and can result in penalties.

Does case matter?

No, the tool converts all text to lowercase before analyzing, so "Apple" and "apple" are counted as the same word.