Word Frequency Counter
Find out exactly which words are overused, underused, or absent from your content. Paste in any text and get a ranked frequency table — sortable, filterable, and exportable to CSV.
How the Word Frequency Counter Works
This tool analyzes text entirely in your browser. It splits your text into individual words, counts occurrences of each unique word, and calculates frequency percentages.
The results appear in a sortable table showing each word, its count, and what percentage of total words it represents. You can sort by count or alphabetically, and filter out common stop words.
Export options let you download the data as CSV for further analysis in Excel, Google Sheets, or data visualization tools.
Who Uses Word Frequency Analysis
SEO content writers: Check keyword density to ensure target terms appear frequently enough without triggering keyword stuffing filters.
Editors and proofreaders: Identify overused words and repetitive phrasing in manuscripts, articles, or marketing copy.
Researchers: Analyze interview transcripts, survey responses, or academic papers for recurring themes and terminology.
Students: Review essays for word variety and check if key concepts are adequately emphasized.
Data analysts: Perform basic text mining on customer feedback, reviews, or social media comments.
Language learners: Identify the most common words in a text to focus vocabulary study.
Understanding Word Frequency Data
High frequency words: Words appearing 3% or more of the time dominate your text. In normal writing, these are usually stop words. In SEO content, one should be your target keyword.
Medium frequency words: Words at 1-3% frequency are your core content words. These typically include your main topics and supporting concepts.
Low frequency words: Words under 1% make up the long tail of your vocabulary. These add specificity and detail.
Zipf's Law: In any text, the most common word appears roughly twice as often as the second most common, three times as often as the third, and so on. This pattern holds across languages and text types.
What to Know Before Using This Tool
Stop words skew results: Without filtering, "the", "a", and "and" will dominate your frequency list. Enable stop word filtering to see meaningful content words.
Word forms are counted separately: "Run", "runs", and "running" are counted as different words. For stem-based analysis, you'd need more advanced NLP tools.
Case sensitivity: By default, "The" and "the" are counted together. The tool normalizes to lowercase for accurate frequency counts.
Large texts work fine: The tool handles books and long documents, but very large texts (100,000+ words) may take a moment to process.