Duplicate row cleanup
Paste plain text from spreadsheets, exports, notes, scripts, forms, or email lists and remove repeated lines without retyping the data.
Paste repeated rows or list items, choose how matching should work, and copy a cleaner set of unique lines.
Clean repeated keywords, emails, IDs, URLs, log rows, or checklist items.
Review case sensitivity and blank lines before using the cleaned list.
Use this flow when a pasted list contains repeated rows and you need a cleaner version for spreadsheets, forms, scripts, or documents.
Add the keywords, URLs, emails, SKUs, log lines, names, or other plain-text rows you want to clean. Keep one item per line so matching happens against full rows.
Decide whether uppercase and lowercase versions should count as the same entry. This matters for product codes, IDs, usernames, tags, and lists where letter case carries meaning.
Read the cleaned list before copying it. Confirm the first kept version is the one you want, blank rows are handled correctly, and intentional repeats were not removed by mistake.

Paste plain text from spreadsheets, exports, notes, scripts, forms, or email lists and remove repeated lines without retyping the data.
The result keeps the cleaned list readable so you can inspect the remaining rows before moving them into a spreadsheet, CMS, or import tool.
Use case-sensitive matching when entries such as SKU codes, tags, usernames, or IDs should stay different even if the letters look similar.
Clean keyword research exports, outreach lists, pasted URLs, sitemap checks, form responses, inventory notes, and repeated task lists.
Run quick duplicate removal from a browser tab when you need to clean copied text before sending it to another app or teammate.
Copy the deduplicated text into spreadsheets, CRM imports, code comments, keyword sheets, data tickets, or content briefs after reviewing it.
Remove Duplicate Lines is designed for quick browser-based text cleanup with local session handling and no sign-in requirement for the normal tool.
Remove Duplicate Lines compares pasted rows in the browser and produces a cleaner list while the original text remains available for review.
Remove Duplicate Lines does not need a server upload for normal text cleanup, and pasted rows remain part of the current browser session.
Remove Duplicate Lines can be used without signing in, which is useful for quick list cleanup before importing or sharing text.
Duplicate removal can change a list in ways that are hard to notice later. Review these points before replacing the original data.
Paste only the rows needed for cleanup, especially when a list includes customer emails, account names, student data, or internal identifiers.
Remove sensitive columns before pasting copied spreadsheet data if those fields are not needed to identify duplicate lines.
Some repeated lines are intentional, such as multiple orders from one customer or repeated log events that show frequency.
Check whether the tool keeps the first matching line, because later duplicates may contain newer capitalization, spacing, or labels.
Keep one entry per line before cleaning. If the source is CSV text, confirm commas inside fields do not hide multiple values on the same row.
Case-insensitive cleanup can merge entries that look similar but mean different things, so use it carefully for IDs, codes, and usernames.
Save or keep the original list until the cleaned version has been checked in the spreadsheet, import screen, script, or document that will use it.
If order matters, scan the top and bottom of the cleaned list so you know the sequence still matches your intended workflow.
Remove Duplicate Lines is best for plain text and moderate browser-sized lists, not full database deduplication with merge rules or audit history.
Remove Duplicate Lines scans pasted plain text row by row, removes repeated lines based on the selected matching behavior, and returns a cleaner set of unique entries.
No, this kind of duplicate line remover is for repeated rows. If one line contains the same word twice, that line remains a single row unless it matches another full line.
No account is required for normal use. Paste your list, review the duplicate handling, and copy the cleaned output from the page.
Use case-sensitive matching when `ABC123` and `abc123` should remain separate values. Turn it off for simple name, keyword, URL, or email cleanup where case differences are accidental.
4.1 (593 ratings)