Find repeated words in your text
Paste any text to see every word that repeats, along with how many times it appears, sorted most-frequent first. It is useful for tightening prose, spotting accidental double words, checking keyword overuse in SEO copy, and catching the kind of repetition that slips through in long documents.
How it works
The tool splits your text into Unicode word tokens — sequences of letters, numbers, and apostrophes — so contractions like “don’t” stay whole and accented or non-Latin words are handled correctly. It then counts how often each token appears and reports only those that occur more than once.
Two options shape the result:
- Case-insensitive (default on): “The”, “the”, and “THE” are all counted as the same word. Turn this off if you want to count proper nouns separately.
- Minimum word length: exclude words below this character count. Setting it to 3 or 4 hides short filler words (a, to, of, the) and surfaces only substantive repeated terms.
Results are ordered most-frequent first, then alphabetically within each frequency band, so overused words rise to the top immediately.
Example
Scanning the sentence: “The the quick brown fox jumps over the lazy dog. The dog was not amused, not at all.”
| Word | Count |
|---|---|
| the | 4 |
| dog | 2 |
| not | 2 |
The four occurrences of “the” surface immediately, including the accidental “The the” double at the start of the sentence. “dog” and “not” each appear twice — useful to catch, even if intentional.
When to use this tool
Editing long documents: In reports, essays, or articles, certain words creep in repeatedly across paragraphs without the writer noticing. Paste the whole document and set a minimum word length of 4 to surface content words that are overused.
Catching double-word typos: Accidental consecutive duplicates (“had had”, “the the”, “of of”) show up as a count of at least 2. Scanning for them here is faster than reading every line manually.
SEO copy review: Search engines can read keyword repetition as a spam signal. Paste landing-page copy and check that no single keyword dominates unnaturally.
Proofreading translations: Machine-translated or AI-generated text sometimes repeats the same phrasing unnecessarily. The word list reveals mechanical repetition patterns quickly.
What the tool does not detect
The finder counts total occurrences, not adjacent pairs, so “had had” scores 2 on “had” — you can see the repetition but cannot isolate only consecutive duplicates here. It also does not detect synonyms or near-synonyms (big/large/huge), nor does it flag repeated phrases. For phrase repetition, copy the output into a text editor and search for the top-ranked words in context.
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