Word Frequency Calculator

Paste any text into the Word Frequency Calculator and get a ranked breakdown of every word's occurrence count and usage percentage. Enter your text in the Text Input field, toggle options like Include Numbers and Expand Contractions, and the tool returns your total word count, unique word count, character count, and a full frequency table sorted by most common words.

Paste any text — articles, essays, blog posts, or any content you want to analyze.

When checked, numeric tokens are counted as words.

Expands common English contractions before counting (e.g. don't → do not).

When unchecked, 'The' and 'the' are treated as the same word.

Filters out common words like 'the', 'is', 'and' to focus on meaningful terms.

Only count words with at least this many characters.

Limit the frequency table to the top N most frequent words.

Results

Total Words

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Unique Words

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Characters (with spaces)

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Characters (no spaces)

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Sentences

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Most Frequent Word

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Top Word Frequencies

Results Table

Frequently Asked Questions

What does a Word Frequency Calculator do?

A Word Frequency Calculator analyzes a block of text and counts how many times each word appears. The results are typically sorted from most frequent to least frequent, showing the count and percentage of each word relative to the total word count. This helps you identify dominant terms, overused words, and the overall vocabulary distribution of your text.

What can I use a Word Frequency Counter for?

You can use it to analyze academic papers, blog posts, or any written content to spot overused words. SEO professionals use it to check keyword density, while writers and editors use it to improve vocabulary variety. It's also useful for studying language patterns, preparing word clouds, or cross-browser testing of text-processing web applications.

What does 'Expand Contractions' mean?

Expanding contractions converts shortened word forms into their full versions before counting — for example, 'we're' becomes 'we are', and 'don't' becomes 'do not'. This ensures that contracted and expanded forms are counted together, giving you a more accurate picture of word usage rather than treating them as separate words.

Should I include or exclude stop words?

Stop words are extremely common words like 'the', 'is', 'and', 'a', and 'in' that carry little meaningful information on their own. If you're analyzing content for keyword research, readability, or thematic analysis, excluding stop words helps surface the truly important terms. However, if you need a complete linguistic analysis of all word usage, keep stop words included.

Does case sensitivity affect the word count?

Yes. When case sensitivity is turned off (the default), 'The', 'the', and 'THE' are all counted as the same word. When case sensitivity is enabled, each capitalization variant is treated as a distinct word. For most general analyses, case-insensitive counting gives a cleaner result.

What is word frequency percentage?

The word frequency percentage shows how often a specific word appears relative to the total number of words in the text. For example, if your text has 100 words and 'the' appears 8 times, its frequency percentage is 8%. This metric helps you quickly gauge the relative prominence of any word in your content.

How is the character count calculated?

Two character counts are provided: one includes all spaces and punctuation marks, giving you the total length of your text as typed. The other excludes spaces, counting only actual characters. Both counts are useful — the full count reflects file size or display length, while the no-space count is used in some publishing and character-limit contexts.

Can I analyze text in languages other than English?

Yes — the word frequency counter works on any text that uses space-separated words, including many European languages. However, features like contraction expansion and stop word filtering are optimized for English. For languages with different word structures (e.g. Chinese, Japanese), the results may not be meaningful without language-specific tokenization.

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