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Duplicate word finder

Find words that occur more than once in your text.

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Duplicate word finder
A duplicate word finder scans your text and identifies every word that appears more than once, displaying results sorted by frequency. This tool is essential for writers who want to catch repetitive language, students analyzing text patterns, or anyone looking to understand which words dominate their writing.
Simply paste your text and the tool instantly lists every repeated word alongside its count. Words are extracted as sequences of Unicode letters, so punctuation and numbers are ignored. By default, the search is case insensitive, treating "the", "The", and "THE" as the same word — perfect for natural text analysis. You can lower the threshold to find words appearing 3, 4, or more times if you want to focus only on the most frequent terms.
Results are sorted first by frequency in descending order (most repeated first), then alphabetically within each frequency level. The live tally shows how many unique repeated words were found and the total character count of the output. All processing happens in your browser, so your text never leaves your device. Copy the results, download them as a text file, or send them to another tool for further analysis.
FAQ
What counts as a word?
A word is any sequence of Unicode letters (A–Z, accented characters, letters from other scripts). Punctuation, numbers, and symbols are stripped, so "hello!" and "hello" are the same word.
How is the output sorted?
Words are sorted first by how many times they appear, with the most frequent at the top. Within the same frequency, words are sorted alphabetically.
What does "case insensitive" mean?
When enabled (the default), "Hello", "hello", and "HELLO" are treated as the same word. Turn it off to treat each capitalization as distinct.
Can I change how many times a word must appear to be listed?
Yes. The "Minimum occurrences" setting defaults to 2, but you can increase it to find only words appearing 3, 4, or more times.
Is my text uploaded anywhere?
No. The analysis runs entirely in your browser and your text never leaves your device.