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Text Deduplication Tool

Quickly remove duplicate content from text, supporting line, word, sentence, and paragraph deduplication

Input Text
Deduplicated Result

Deduplication Mode

Options

Statistics

Original Items0
Unique Items0
Duplicate Items0

What is Text Deduplication?

Text Deduplicate removes repeated lines, words, or entries from a text so lists become cleaner and easier to review. It helps clean imported CSV snippets, keyword lists, email collections, log fragments, product codes, prompt variants, and notes where duplicates appeared through copying, merging, or broken exports. The important part is the comparison rule: case sensitivity, leading or trailing spaces, blank lines, punctuation, normalization, and original order can all determine whether two entries should be treated as the same. The tool speeds up cleanup, but it does not replace domain review when similar entries must remain separate or small differences carry meaning.

How to Use

Basic Operations

  1. Enter or paste the text to deduplicate in the left text box
  2. Select the appropriate deduplication mode (by line, word, sentence, etc.)
  3. Adjust options as needed (case sensitivity, keep order, etc.)
  4. View real-time deduplication results and statistics on the right
  5. Click the copy button to save results to clipboard

Mode Description

  • By Line: Treats each line as an independent unit, removes identical lines
  • By Word: Splits text by spaces, removes duplicate words
  • By Sentence: Splits by periods, question marks, exclamation marks, removes duplicate sentences
  • By Paragraph: Splits by blank lines, removes duplicate paragraphs
  • By Character: Removes characters that appear multiple times in text

Use Cases

Remove repeated lines, words, sentences, paragraphs, or charactersChoose the unit to deduplicate and the tool keeps the first occurrence while preserving the order of unique items. Each mode uses an appropriate split and join strategy so line, paragraph, word, and character workflows behave differently. The hash-set lookup runs in O(n) time per pass, so even long lists deduplicate in a single browser round.
Audit duplicates before copying cleaned textStatistics show original count, unique count, and removed duplicate count. Optional duplicate display lists the repeated items that were found, which is useful before cleaning mailing lists, keyword lists, logs, or survey exports. Reviewing the duplicate list first lets you confirm the right entries were merged before sharing the cleaned output.
Control case-sensitive matchingTurn case sensitivity on when Apple and apple should remain separate, or leave it off when repeated text should be detected regardless of capitalization. This makes the same tool useful for both prose cleanup and exact technical lists. Case-insensitive mode normalizes the input by lowercasing before hashing, so a long log does not keep 'ERROR' and 'error' as separate entries.
Clean email or tag lists while preserving orderPaste an email export and switch to line mode with case-insensitive matching to merge [email protected] and [email protected]. The first-occurrence order is kept so the cleaned list still respects the original grouping for CSV import. Sort-stable behavior matters here: the output should preserve the input sequence, not be reordered alphabetically.
Normalize whitespace before deduplicating keyword setsTrim leading and trailing spaces and skip empty lines so stray tabs from a copy-paste do not create phantom duplicates. This is essential when the source list came from a spreadsheet export where empty rows and indented entries inflate the duplicate count. A second pass on the cleaned list with stricter rules usually finds zero further collisions, which is a good signal that the normalization worked.

Technical Principle

Deduplication is a one-pass scan backed by a JavaScript Set. ECMAScript Set uses the SameValueZero equality algorithm (the same comparison Array.prototype.includes uses, where NaN equals NaN but +0 equals -0) and is required by the spec to deliver sublinear average lookup — V8 implements it as an open-addressing hash table with O(1) amortized insert and has, so the whole pass is O(n) in the number of items. The naive alternative — pushing into a result array and calling indexOf on every element — is O(n²) and becomes painful around 10k entries. Splitting is mode-specific: line mode splits on /\r?\n/ to absorb both CRLF (Windows) and LF (Unix) line endings, word mode splits on /\s+/, sentence mode splits on /(?<=[.!?])\s+/, and paragraph mode splits on /\n{2,}/. Each unit is run through optional normalizers before it becomes a Set key: trim() to strip leading and trailing whitespace, toLowerCase() for case-insensitive matching, and String.prototype.normalize('NFC') so that visually identical strings written with composed (é, U+00E9) vs decomposed (e + U+0301) forms collapse to a single entry. Order is preserved because the result array is built in iteration order — the Set is consulted only as a 'have I seen this?' filter. The same data structure choice underlies SQL DISTINCT and Python set(); the only real alternative for tens of millions of items is a probabilistic Bloom filter, which trades a small false-positive rate (≈1% at 10 bits/element) for constant memory and is overkill for a browser-side text tool.

  • Set lookup uses the SameValueZero algorithm (ECMA-262 §7.2.10) — NaN matches NaN, +0 matches -0, otherwise strict equality
  • V8 implements Set as a hash table; insert and has are O(1) amortized, making the whole deduplication O(n) versus indexOf-based O(n²)
  • Line mode regex /\r?\n/ handles CRLF, LF, and trailing CR in one split; ignoring this leaves invisible '\r' suffixes that defeat exact matching
  • Unicode normalization via String.prototype.normalize('NFC') collapses composed/decomposed forms (e.g. 'é' U+00E9 vs 'e' + U+0301) into one key
  • Case-insensitive mode lowercases the key only — the original-case value is preserved in output so the first 'ERROR' is kept verbatim while later 'error' lines are discarded
  • Order preservation is free: the result array is built in input order and the Set is consulted only as a filter, so it behaves like SQL DISTINCT with a stable sort
  • For 10M+ items where memory becomes the bottleneck, a Bloom filter (≈10 bits/element for 1% false-positive rate) replaces the Set — not needed in-browser, where a Set of 1M strings fits comfortably under 100 MB

Examples

Line deduplication, first occurrence kept

Input:
apple
banana
apple
orange
banana

Output:
apple
banana
orange

Line deduplication with whitespace trimmed

Input:
hello
  hello
hello 
world

Output (after trim):
hello
world

Case-insensitive deduplication

Input:
ERROR
error
Warning
WARNING
warning

Output (case-insensitive):
ERROR
Warning

Unique email list extraction

Input:
alice@example.com
bob@example.com
ALICE@example.com
carol@example.com
bob@example.com

Output (case-insensitive, line mode):
alice@example.com
bob@example.com
carol@example.com

Word deduplication

Input: hello world hello again world

Output: hello world again

Sentence deduplication

Input: This is a test. This is a test. Another sentence.

Output: This is a test. Another sentence.

FAQ

What gets considered a duplicate?

Each unit (line, word, sentence, paragraph, or character) is compared against the others. Identical units are duplicates. Toggle case sensitivity on or off. The page outputs the deduplicated list and reports how many duplicates were removed.

Does it preserve order?

Yes - the first occurrence of each unique item is kept in its original position and subsequent duplicates are dropped. The output preserves the original order.

Are blank lines treated as duplicates?

Blank lines are compared like any other line. The first blank line is kept; identical blank lines later in the input are dropped along with other duplicates.

Can it dedupe by a substring or column?

No. Deduplication works on the full content of each unit (line, word, sentence, paragraph, or character). There is no column-based or substring-based deduplication mode.

Will it sort the output?

No. The output always preserves the original order. There is no sort option.

How big a file can it handle?

Browser memory is the limit. Hundreds of thousands of lines work on desktop browsers. Multi-million-line files run out of memory; for those, use a CLI tool like `sort -u` or `awk '!seen[$0]++'`.

Is my text uploaded?

No. Deduplication uses an in-memory Set in your browser. Pasted lines are not transmitted.