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Word Frequency Counter & Keyword Density Analyzer

Analyze word recurrence, unique vocabulary, and keyword density percentages with stop-word filtering.

📊 Text Frequency Distribution & Keyword Density Analyzer

Analyze word frequency distribution, keyword density percentages, and recurring vocabulary patterns with stop-word filtering.

Min word length:

Total Words

0

Unique Filtered Words

0

Lexical Diversity

0%

Enter text above to see word frequency statistics.

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How to use the Word Frequency Counter & Keyword Density Tool

Paste your text or article. The tool builds a sorted frequency distribution table with keyword density percentages and stop-word filtering options.

?Frequently Asked Questions

What is the Word Frequency Counter & Keyword Density Analyzer?

The Word Frequency Counter parses text documents to compute total word counts, unique vocabulary counts, lexical diversity percentages, and rank-ordered frequency distribution tables with customizable stop-word filtering.

Who is the Word Frequency Counter & Keyword Density Analyzer for?

Used by SEO copywriters avoiding keyword stuffing, content editors evaluating vocabulary richness, and academic researchers analyzing textual corpora.

How to Use the Word Frequency Counter & Keyword Density Analyzer

  1. Paste your text, essay, or blog draft into the input area.
  2. Toggle stop-word filtering to ignore common grammatical words.
  3. Inspect the ranked frequency table showing count, keyword density percentage, and visual frequency bars.
  4. Identify overused words or primary thematic keywords.

Worked Calculation Example

Analyzing a 2,000-word article reveals that the primary keyword appears 24 times (1.2% density), confirming optimal search engine balance without keyword cannibalization.

Frequently Asked Questions

What is an ideal keyword density for SEO?

Most SEO guidelines recommend maintaining primary keyword density between 1.0% and 2.5% to ensure strong topical relevance without triggering search engine keyword stuffing penalties.

What is lexical diversity in text analysis?

Lexical diversity (Type-Token Ratio) measures the proportion of unique words relative to total words. Higher percentages indicate a rich, varied vocabulary.

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