Duplicate Line Remover
Paste any block of text and instantly strip duplicate or blank lines. The tool runs in your browser — your data is never uploaded. Ideal for cleaning up keyword lists, email lists, URLs and any exported data with repeated rows.
How to Use the Duplicate Line Remover
Paste your list of lines into the input box — one item per line. Choose your options:
- Case-sensitive — when checked, "Apple" and "apple" are different lines. Uncheck to treat them as duplicates.
- Remove blank lines — strips lines that have no content or only whitespace.
- Trim whitespace — removes leading and trailing spaces from each line before comparison.
Click Remove Duplicates. The stats bar shows how many lines were in the original, how many are unique, and how many were removed.
Cleaning Lists and Exported Data
Duplicate lines are common in data exported from spreadsheets, CRMs, scrapers and analytics platforms. Removing them manually is tedious and error-prone. This tool handles thousands of lines instantly without uploading anything to a server.
For related text cleanup tasks, try the Whitespace Remover to strip extra spaces, or the Text Sorter to alphabetise your cleaned list afterwards.
Case-Sensitive vs Case-Insensitive Deduplication
Case-sensitive mode treats "Paris", "paris" and "PARIS" as three distinct lines. Case-insensitive mode collapses all three into one. Use case-insensitive mode when your data may have inconsistent capitalisation — common in email addresses, domain names and keyword lists.
Frequently Asked Questions
Does the duplicate remover keep the first or last occurrence?
This tool keeps the first occurrence of each duplicate line and removes all subsequent ones, preserving the original order of unique lines.
Is the comparison case-sensitive?
You can choose. The tool offers both case-sensitive and case-insensitive comparison, so "Apple" and "apple" can be treated as duplicates or as distinct lines.
Can I also remove blank lines?
Yes. There is a separate option to strip blank lines in addition to or instead of removing duplicates.
What is a common use case?
Common uses include cleaning email lists, URL lists, keyword lists, log files and exported CSV data that may contain repeated rows.