Datasets are 10–30% dupes
In real-world contact lists and CSVs, it’s common to find 1 in 5 rows duplicated or near-duplicated—huge waste for mail merges.
Tip: Press Ctrl/Cmd + K to focus the text box. Ctrl/Cmd + Enter runs Remove Duplicates.
If you have ever copied a list from a spreadsheet, exported a report, or pasted notes from multiple sources, you have probably seen the same line appear more than once. Duplicate lines make lists harder to read, inflate counts, and can cause errors when you import data into another tool. This duplicate line remover gives you a fast, no-friction way to dedupe text and keep only one copy of each line.
The calculator treats each line as a separate item. It compares those lines and removes repeats so you get a clean list of unique entries. You can keep the original order of the first occurrence, which is useful when the sequence matters. Because it runs in your browser, your text stays private and never leaves your device.
People use this tool to dedupe email lists before sending newsletters, clean up product catalogs, and remove repeated values from survey responses. Developers and analysts use it to tidy log files, lists of URLs, and configuration lines. Students and writers use it to clean references or vocabulary lists. Even simple tasks like removing repeated grocery items or checklist entries become quicker when duplicates are removed automatically.
Whether you call it a duplicate line remover, a text dedupe tool, or a remove duplicates online utility, the goal is the same: a clean, unique list with less manual work.
In real-world contact lists and CSVs, it’s common to find 1 in 5 rows duplicated or near-duplicated—huge waste for mail merges.
“Apple” vs “apple” are identical to humans but not always to software. Case-insensitive dedupe closes that loophole.
Trailing spaces make two lines look the same but sort differently. Trimming before deduping removes those invisible tripwires.
Stable dedupe keeps the first occurrence and drops the rest, preserving the original sequence—crucial for logs and scripts.
Tools often hash each line to a set so millions of lines can be deduped quickly without comparing every pair.