What is the difference between total word count and unique word count?

Total word count is the sum of every word in the text, counting each occurrence separately. Unique word count only counts each distinct word once, regardless of how many times it appears. For example, in "the cat and the dog," the total count is 5, but the unique count is 4 (since "the" appears twice). This comparison reveals vocabulary variety and text repetition patterns.

How do I calculate word frequency?

Word frequency is calculated by tallying how often every distinct word appears in a document. The tool scans your text, identifies each unique word, and counts its occurrences. Results are typically sorted from most to least frequent. Writers use frequency analysis to identify overused words like "very," "really," or "just" that may weaken their writing style.

What is a good unique word percentage (Type-Token Ratio)?

Type-Token Ratio (TTR) measures lexical diversity by dividing unique words by total words. For standard articles, a TTR of 40% to 50% is common. Technical manuals often score lower (30-40%) due to necessary repetition of terms. Creative writing and descriptive content typically scores 50-60% or higher, indicating rich vocabulary variety. Very high scores (above 70%) may indicate the text is too short for meaningful analysis.

Should I filter out stop words when counting?

Yes, filtering stop words is recommended when analyzing themes, SEO keywords, or content substance. Stop words are common function words like "the," "is," "at," "and," "a" that appear frequently but carry little meaning. Removing them reveals the true frequency of content-rich terms and helps identify your actual keyword density and topic focus.

How can I detect keyword stuffing in my content?

Keyword stuffing occurs when a word appears unnaturally often. Check your keyword density percentage—if any non-stop-word exceeds 3-4% of total content, it may trigger search engine penalties. The frequency analyzer highlights words appearing disproportionately often, helping you identify potential over-optimization before publishing.

What words should I avoid repeating too often?

Common overused words include intensifiers (very, really, extremely), filler words (just, actually, basically), weak verbs (is, was, has), and vague terms (things, stuff, got). The tool identifies these patterns so you can replace repetitive words with stronger, more varied vocabulary. Aim to use any content word no more than 2-3 times per paragraph.

Is my text data private when using this analyzer?

Yes, all word counting and frequency analysis happens entirely in your browser using JavaScript. Your text is never uploaded to servers, stored, or transmitted externally. The processing runs locally on your device ensuring complete privacy for any content including unpublished manuscripts, confidential documents, or proprietary materials.

Word Frequency Counter & Repetition Finder

Analyze vocabulary variety, detect keyword stuffing, and visualize your text's frequency distribution

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Word Frequency Results

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Visualizing Your Text's Word Patterns

Are you repeating the same words too often? Whether you're a writer striving for varied prose or an SEO specialist checking for keyword stuffing, understanding your text's word distribution is essential. Our unique word counter generates a detailed frequency analysis so you can spot patterns instantly, see which words dominate your content, and identify repetitive vocabulary that may weaken your writing or trigger search engine penalties.

Understanding Type-Token Ratio (TTR)

Type-Token Ratio measures lexical diversity by comparing unique words (types) to total words (tokens). A higher TTR indicates richer vocabulary variety, while lower scores suggest repetitive text. Academic linguists use TTR to analyze writing complexity across genres. Technical documentation typically scores 30-40% due to necessary term repetition, standard articles range 40-50%, and creative writing often exceeds 50-60%. Monitoring your TTR helps maintain appropriate vocabulary variety for your content type and audience expectations.

Features for Writers and SEO Professionals

The analyzer offers filtering options to focus your analysis. Exclude stop words to ignore common function words like "the," "is," and "at" revealing your true content keywords. Toggle case sensitivity to treat "Apple" and "apple" as identical or distinct terms depending on your needs. The overused word detector flags any term exceeding 3% density helping you avoid unnatural keyword stuffing that search engines penalize while maintaining readable, engaging content.

Detecting Redundancy and Repetition

Repetitive writing weakens impact and bores readers. The frequency analyzer reveals patterns invisible during normal reading including overused intensifiers, filler words, and weak verbs. By visualizing word occurrences, you can identify opportunities to vary vocabulary, strengthen weak passages, and eliminate redundant phrasing. Writers often discover they unconsciously repeat certain words creating unintended emphasis or monotonous rhythm that frequency analysis makes immediately apparent.

Common Overused Words to Watch

These words frequently appear too often in writing and may weaken your content:

Category	Words to Limit	Why
Intensifiers	very, really, extremely, totally, absolutely	Weaken instead of strengthen; use precise adjectives
Fillers	just, actually, basically, literally, simply	Add no meaning; delete for concise writing
Weak Verbs	is, was, has, had, got, get	Passive voice indicators; use active verbs
Vague Terms	things, stuff, something, kind of, sort of	Lack specificity; replace with concrete nouns

Zipf's Law in Your Writing

According to Zipf's Law, the most frequent word in any text typically appears twice as often as the second most frequent word, three times as often as the third, and so on. This mathematical pattern holds across languages and document types. When your text deviates significantly from this distribution with one word appearing far more often than expected it may indicate unnatural repetition or keyword stuffing worth investigating.