🔍 Duplicate Word Finder

Find and analyze all duplicate words in your text with frequency counts. This tool identifies repeated words, helps optimize content quality, and analyzes writing patterns in real-time.

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Total Words
0
Unique Words
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Duplicate Words
📊 Duplicate Words (sorted by frequency):
Paste or type text to find duplicates...
💡 How it works:
  • Paste or type your text in the textarea above
  • The tool automatically detects all duplicate words
  • Duplicates are sorted by frequency (most repeated first)
  • Search is case-insensitive (e.g., "The" and "the" are counted as the same)
  • Only complete words are counted (partial matches ignored)
  • Statistics update in real-time as you type

📝 Example:

Input Text:
The quick brown fox jumps over the lazy dog. The dog was very lazy and the fox was clever.
Duplicate Words Found:
• the: 3 occurrences
• dog: 2 occurrences
• lazy: 2 occurrences
• fox: 2 occurrences
• was: 2 occurrences
Statistics:
Total Words: 18
Unique Words: 13
Duplicate Words: 5
📚 Use Cases:
  • Improve writing quality by identifying overused words
  • Content optimization and readability analysis
  • SEO content analysis for keyword repetition
  • Plagiarism detection and text comparison
  • Writing style analysis and improvement
  • Research paper and academic writing review
  • Copy editing and editorial quality assurance

How the counting works

The whole text is lower-cased first, then chopped into words by a regular expression, and each word is tallied in a map. Anything with a tally above one is a duplicate:

words = text.toLowerCase().match(/\b\w+\b/g)
count[word]++
duplicates = words where count > 1, sorted by count

A word here is a run of letters, digits or underscores. Because the whole text is lower-cased before matching, The, the and THE are one entry, and the list shows it in lower case. Ties keep the order they first appeared in, so two words that both occur four times are listed in reading order.

What the tokenizer treats as a word

TypedCounted as
don'tdon, t
well-knownwell, known
user_iduser_id
20242024
naive, with the diaeresisna, ve

The three counters above the list follow from that: Total Words is how many tokens were found, Unique Words how many distinct ones, and Duplicate Words how many of those distinct words occur more than once - not how many extra copies there are.

Only A-Z, 0-9 and the underscore count. Accented words break apart at the accent, and text in Cyrillic, Greek, Arabic or Chinese produces no words at all, so the counters sit at zero.

Frequently asked questions

How do I find which words I overuse in my writing?

Paste a draft in and read the list from the top - it is sorted by frequency. Ignore the first several entries, which will be the, and, to and other function words, and look for the first content word. That is usually the one a reader notices.

Are capitalised words counted separately?

No. Everything is lower-cased before counting, so Data, data and DATA are one word with one combined total. There is no setting to make it case-sensitive.

Why is a contraction counted as two words?

The apostrophe is not treated as part of a word, so don't is split into don and t. If a lone t or s appears high in your duplicate list, that is where it came from. Hyphenated compounds split the same way.