Word Frequency Counter

Analyze word frequency and distribution in your text. Perfect for content analysis and SEO.

Text Statistics

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Total Words
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Unique Words
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Characters
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Sentences
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Paragraphs
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Avg Word Length
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Words/Sentence
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Chars (no spaces)

About Word Frequency Counter

A word frequency counter analyzes text to determine how often each word appears. This tool is essential for content analysis, SEO optimization, linguistic research, and understanding text patterns.

Use Cases

  • SEO Analysis: Identify keyword density and optimize content
  • Content Writing: Avoid word repetition and improve variety
  • Academic Research: Analyze texts for linguistic patterns
  • Data Analysis: Extract insights from survey responses
  • Literature Study: Analyze writing style and vocabulary
  • Translation: Identify most common terms for glossaries
  • Copywriting: Ensure brand message consistency

Features

  • Count word occurrences with percentage breakdown
  • Case-sensitive or case-insensitive analysis
  • Filter words by minimum length
  • Sort by frequency or alphabetically
  • Comprehensive text statistics
  • Visual frequency bars for easy comparison
  • Export results to file
  • Upload text files for analysis

Understanding the Results

Frequency: The number of times a word appears in the text
Percentage: The proportion of total words that this word represents
Unique Words: The number of distinct words (vocabulary richness)
Average Word Length: Indicates text complexity

Tips for Analysis

  • Use case-insensitive mode for general analysis
  • Set minimum word length to filter out articles (a, an, the)
  • High unique word count indicates rich vocabulary
  • Top 10 words often reveal the main topic
  • Compare word frequency across different texts
  • Look for unexpected high-frequency words
  • Use for keyword research and SEO optimization

Common Stop Words

Stop words are common words that often appear frequently but carry little meaning (the, is, at, which, on). You can filter these by setting a minimum word length or manually excluding them from your analysis.

Applications in Different Fields

Marketing: Analyze customer feedback and reviews
Journalism: Identify bias and word choice patterns
Education: Assess vocabulary level and complexity
Legal: Analyze contracts and legal documents
Social Media: Track trending terms and hashtags