Word Frequency Counter

About Word Frequency Counter Tool

The Word Frequency Counter is a powerful text analysis tool that helps you identify the most frequently used words in any text. Perfect for writers, researchers, SEO specialists, and data analysts who need to analyze word patterns, identify overused words, or study vocabulary distribution. The tool offers advanced filtering options including stop word removal, case sensitivity, punctuation handling, and customizable minimum word length.

What is word frequency analysis?

Word frequency analysis is the process of counting how often each word appears in a text. It helps identify the most common words, analyze writing patterns, optimize content for SEO, and understand vocabulary usage in documents.

What are stop words and should I remove them?

Stop words are common words like 'a', 'an', 'the', 'and', 'is', etc. that appear frequently but carry little meaning. Removing them helps focus on meaningful words and provides clearer insights into content themes and topics.

How can I use word frequency analysis for SEO?

Word frequency analysis helps identify keyword density, avoid keyword stuffing, ensure proper use of target keywords, and optimize content for search engines. It shows which words appear most often and helps maintain natural keyword distribution.

What's the difference between Total Words and Unique Words?

Total Words counts every word instance in the text (including duplicates). Unique Words counts each different word only once. For example, 'hello world hello' has 3 total words but only 2 unique words ('hello' and 'world').

Can I export the word frequency results?

Yes! You can export results in three formats: CSV (for Excel/spreadsheets), JSON (for programming/data analysis), and TXT (for simple text viewing). All exports include word rank, count, and percentage data.

When should I use case-sensitive analysis?

Enable case-sensitive mode when case matters in your analysis, such as analyzing programming code, proper nouns, or acronyms. Disable it when you want to treat 'Word', 'word', and 'WORD' as the same word.

Example Word Frequency Analysis