---
title: "Text Duplicate Remover - Keep only unique lines"
description: "Remove duplicate lines from text and keep only unique entries. It is useful for cleaning email lists, URL lists, logs, and other repeated data."
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> Index of every page on this site: [llms.txt](https://web-toolbox.dev/llms.txt)

# **Text Duplicate Remover**

Remove duplicate lines and keep unique ones

**Input**

**Result**

Read-only

Total 0 lines, 0 unique lines (0 duplicates removed)

## What is Text Duplicate Remover?

Text Duplicate Remover is a tool for removing duplicate lines from text so a list is easier to clean up and review. It is useful for things like email lists, tag lists, extracted log lines, or candidate keywords when the same line appears over and over again.

As you change the input or options, the result updates immediately. It also shows line counts and how many duplicates were removed, so it is easy to see how much the list was cleaned up.

## How to Use

1. Paste or type the text you want to clean up.
2. Adjust options for case sensitivity, whitespace, empty lines, and sorting.
3. Review the deduplicated result in the output area.
4. Check the line statistics and fine-tune the conditions if needed.

## Main Settings

### Case sensitive

This setting controls whether values like `**Test**` and `**test**` are treated as different lines. It is usually useful to keep this on for identifiers or code-like content, and more useful to turn it off for general word lists.

### Trim line whitespace

This removes leading and trailing spaces from each line before checking for duplicates. It is helpful when lines look identical but differ only because of extra spaces at the beginning or end.

### Ignore empty lines

This excludes blank lines from duplicate checking. It is useful when pasted text contains many accidental empty lines.

### Sort lines

This sorts the result in ascending order after duplicates are removed. It is convenient for organizing lists, but if you want to preserve the original order, it is better to leave this off.

## Use Cases

- Removing duplicate email addresses or URLs from a list
- Cleaning up keyword or tag candidates
- Filtering repeated lines out of logs or output text
- Lightly normalizing text pasted from spreadsheet tools

**How was your experience?**

Last updated: October 19, 2026

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