Does it remove all occurrences or just the extras?

Only the duplicates are removed. The very first occurrence of each word is kept in its original position; every subsequent occurrence is deleted.

What counts as a word?

Words are sequences of characters separated by whitespace. Punctuation attached to a word (e.g. "hello,") is treated as part of that word unless "Strip punctuation" mode is enabled.

Is "Hello" the same as "hello" with case-insensitive mode?

Yes. When case-insensitive mode is on, the tool normalises all words to lowercase for comparison, so "Hello", "HELLO", and "hello" are considered the same word and only the first occurrence is kept.

Does it work across multiple lines?

Yes. The tool scans all words across the entire input regardless of line breaks, and line breaks are preserved in the output.

Is my text sent to a server?

No. Everything runs entirely in your browser. Your text never leaves your device.

Remove Duplicate Words

Paste your text, choose case sensitivity, and instantly remove every word that appears more than once — keeping only the first occurrence.

Input Text

Options

Case-insensitive matching

Treat "Word" and "word" as the same

Strip punctuation before comparing

Treat "hello," and "hello" as the same

Output

Your deduplicated text will appear here

Enter text and click "Remove Duplicates"

Quick Examples

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Summary

Remove every repeated word from a body of text while preserving the original order of first occurrences. Supports case-insensitive matching and optional punctuation stripping — all client-side with zero data sent to any server.

How it works

The tool tokenises the input by splitting on whitespace, then iterates through each token while maintaining a Set of already-seen words. If a word (normalised according to your case option) has not been seen, it is kept and added to the set; otherwise it is discarded. The surviving tokens are rejoined with their original spacing structure.

Use cases

Clean up keyword lists by removing repeated terms.
Deduplicate word clouds or tag lists before publishing.
Fix accidental word repetitions in long documents.
Prepare unique word sets for data analysis or NLP preprocessing.

Frequently Asked Questions

Last updated: 2026-05-23 · Reviewed by Nham Vu