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Word Frequency Counter

100% Free

Count how often each word appears in text with stop-word removal, n-grams, and a searchable ranked list. Instantly find the most-used words in any document.

N-grams
Stop Words
Real-time
Private

Total words

18

Unique words

14

Sentences

1

Avg word length

3.5 chars

Word frequency

#1to
316.67%
#2be
211.11%
#3the
211.11%
#4in
15.56%
#5is
15.56%
#6mind
15.56%
#7nobler
15.56%
#8not
15.56%
#9or
15.56%
#10question
15.56%
#11suffer
15.56%
#12that
15.56%
#13tis
15.56%
#14whether
15.56%

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<iframe
  src="https://tools.town/embed/word-frequency-counter/"
  width="100%"
  height="600"
  style="border:none; border-radius:12px;"
  loading="lazy"
  title="Word Frequency Counter">
</iframe>

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How to Use

  1. 1 Paste your text into the input area — any length up to 100,000 characters
  2. 2 Toggle 'Remove stop words' to exclude common words like 'the', 'and', 'is'
  3. 3 Enable '2-grams & 3-grams' to see common phrases in addition to single words
  4. 4 Set minimum word length and top-N limit to focus on meaningful terms
  5. 5 Browse the ranked word list — use the filter box to search for a specific word
  6. 6 See summary statistics: total words, unique words, sentence count, average word length

Features

  • Ranks every word by frequency with count, rank, and percentage of total words
  • Optional stop-word removal (100+ common English words) to surface content words
  • 2-gram and 3-gram phrase detection to find recurring multi-word patterns
  • Case-insensitive by default — 'Apple', 'apple', 'APPLE' all count as one word
  • Minimum word-length filter to skip filler short words
  • Searchable word list with inline filter — no page reload needed

Why it Matters

Word frequency analysis is the foundation of text understanding. Writers use it to spot overused words that make prose repetitive. SEO professionals use it to check keyword density and ensure content aligns with target terms. Academics use it to study language patterns across corpora. Developers use it to build word clouds, auto-tagging systems, or naïve Bayes classifiers. The same simple count underpins everything from search engine indexing to literary fingerprinting.

★★★★★

Use Cases

Writing & Editing

Spot overused words in your draft and diversify your vocabulary

SEO Content Audits

Check keyword density and find the most-used terms in your content

Academic Research

Analyse word distribution in literature, surveys, or interview transcripts

NLP & Data Science

Generate training data or feature inputs for text classification models

What word frequency analysis tells you

The most frequent content words in a document (after removing stop words) reveal what the text is actually about. Overused words stand out as candidates for synonym replacement. Repeated bigrams highlight fixed phrases worth examining for clarity or redundancy.

How the counter works

The text is tokenized by splitting on whitespace and punctuation, with leading and trailing apostrophes and hyphens stripped from each token. Case is folded to lowercase by default so Apple, apple, and APPLE count as the same word. Frequency is computed in a single pass and results are sorted by count descending, then alphabetically as a tiebreaker.

Privacy

All analysis happens in your browser. Your text is never sent to a server.

Frequently Asked Questions

What are stop words?
Stop words are extremely common words that carry little meaning on their own — 'the', 'a', 'and', 'is', 'in', 'to', etc. Removing them surfaces the content words (nouns, verbs, adjectives) that actually define the topic of your text. This is standard practice in SEO audits and NLP preprocessing.
What are 2-grams and 3-grams?
N-grams are consecutive sequences of N words treated as a unit. '2-gram' (or bigram) means pairs like 'machine learning' or 'New York'. '3-gram' (trigram) means triplets like 'natural language processing'. Enabling n-grams reveals recurring phrases that single-word analysis misses.
Does this work on languages other than English?
The tokenizer splits on whitespace and punctuation, so it works for any space-separated language. Stop-word removal currently only covers English. For other languages, toggle stop-word removal off and use the minimum word length filter to remove short function words manually.
How is 'percent' calculated?
Percent = (word count ÷ total word count) × 100. So if 'the' appears 42 times in a 500-word document, its frequency is 8.4%. This is the raw percentage of all word tokens, not unique words.
Can I export the results?
The free version shows results in the browser. Export to CSV and saved analyses are planned Pro features — see the Pro plan details in this page's overview.
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Want to go deeper?

Browse all guides →
Word Frequency Analysis
word frequency

Word Frequency Analysis — Complete Guide

Learn what word frequency analysis is, how it powers NLP and SEO, why n-grams matter, and how to use frequency data to improve your writing.

25 Jun 2026

5 min read

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