Word Frequency Counter
The Word Frequency Counter analyzes any text to count how often each word appears. Features include case-sensitive or insensitive counting, stop word filtering, minimum word length, bigram and trigram detection, and statistics like total words, unique words, average word length, and sentence count. Ideal for SEO keyword density analysis and content optimization.
Results (16)
quicklazybrownfoxdogjumpsoverfoxesknownmovementsjumpingabilitiesdogssometimesloyalanimalsBigrams (2-word phrases)
quick brown1brown fox1fox jumps1jumps over1over lazy1lazy dog1dog fox1fox quick1quick dog1dog lazy1Trigrams (3-word phrases)
quick brown fox1brown fox jumps1fox jumps over1jumps over lazy1over lazy dog1lazy dog fox1dog fox quick1fox quick dog1quick dog lazy1dog lazy brown1कोई सुझाव है?
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What is a Word Frequency Counter?
A word frequency counter analyzes text to determine how often each word appears and calculates its percentage of the total word count. It is an essential tool for content writers, SEO specialists, linguists, and researchers. Beyond single-word frequency, this tool also identifies bigrams (two-word phrases) and trigrams (three-word phrases), providing deeper insight into recurring patterns and keyword density in your content.
How to Use This Tool
- Paste or type your text into the input area
- Toggle case sensitivity on or off depending on whether 'The' and 'the' should be counted separately
- Enable stop word removal to filter out common words like 'the', 'is', 'and'
- Set a minimum word length to exclude short words from the analysis
- Review the frequency table, bigrams, trigrams, and text statistics
Frequently Asked Questions
What is keyword density and why does it matter for SEO?
Keyword density is the percentage of times a keyword appears relative to total word count. While there is no perfect density, most SEO experts recommend 1-3% for primary keywords. Over-optimization (keyword stuffing) can harm rankings. This tool helps you monitor density to keep content natural.
What are bigrams and trigrams?
Bigrams are two-word phrases and trigrams are three-word phrases that appear together in text. For example, in 'machine learning model', 'machine learning' is a bigram and 'machine learning model' is a trigram. Analyzing n-grams reveals common phrases and collocations in your writing.
Why should I remove stop words from the analysis?
Stop words are extremely common words like 'the', 'is', 'at', and 'in' that appear frequently in all texts but carry little semantic meaning. Removing them from frequency analysis lets you focus on the meaningful content words that define your text's topic and keyword strategy.