Remove Duplicates
Remove duplicate lines, words, or characters from text. Keep only unique items with optional case sensitivity.
How to Remove Duplicates
Step 1: Choose Duplicate Type
Select from: Remove Duplicate Lines (default), Remove Duplicate Words, or Remove Duplicate Characters.
Step 2: Set Case Sensitivity
Optionally check "Case Sensitive" to treat uppercase and lowercase as different items.
Step 3: Enter Your Content
Paste or type content with duplicates. Click "Sample" for an example.
Step 4: Click Remove Duplicates
Duplicate items will be removed, keeping only unique items in their original order.
Step 5: Copy Results
Click "Copy Output" to copy the unique items to your clipboard.
Frequently Asked Questions
What is "Remove Duplicate Lines"?
It removes identical lines from your text, keeping only the first occurrence of each unique line.
What is "Remove Duplicate Words"?
It removes duplicate words from your text, keeping the first occurrence of each unique word.
What is "Remove Duplicate Characters"?
It removes duplicate characters, keeping only the first occurrence of each unique character.
What does "Case Sensitive" do?
When unchecked (default), "Apple" and "apple" are treated as the same. When checked, they're treated as different.
Does it preserve order?
Yes, items are kept in their original order. Only the duplicates are removed.
Can I see how many duplicates were removed?
Yes, the statistics show: Original count, Unique count, and Duplicates Removed.
Is this useful for data cleanup?
Absolutely, removing duplicates is essential for data cleanup, especially with imported lists and CSV data.
What about empty lines or spaces?
Empty lines and spaces are treated as items. Duplicate empty lines will be removed (keeping one).
Can I use this for email lists?
Yes, paste email addresses as lines and remove duplicates to clean up your mailing list.
Is my data private?
Yes, all processing happens in your browser. Your data is never sent to any server and is completely private.
About Duplicate Removal
Duplicate removal is essential for data management and cleanup:
- Data Cleaning: Remove duplicates from imported or merged data
- List Management: Clean up contact lists, email lists, and directories
- Database Health: Improve data quality before importing to databases
- Analytics: Remove duplicate entries to get accurate statistics
- CSV Processing: Clean CSV files before analysis or import
- URL Lists: Remove duplicate URLs from link lists
- Inventory: Identify duplicate items in product or inventory lists
- Cost Reduction: Avoid processing duplicate entries