Word Counter
Clean and transform text with Word Counter — instant results, fully in-browser.
Remove duplicate lines from a list — keeping the first of each and the original order — instantly in your browser. It shows the before and after line counts.
Your browser is preparing the tool. It runs 100% locally.
Paste a list and the tool removes duplicate lines, keeping the first occurrence of each and leaving the rest in their original order. It compares lines by their trimmed text, so lines that differ only in surrounding spaces count as the same, and it is case-sensitive. It also shows how many lines went in and came out. Everything runs in your browser; nothing is uploaded.
This tool takes a block of lines and gives you back just the unique ones. The first time a line appears it is kept; any later identical lines are dropped, and the surviving lines stay in the order you had them.
It is the quick way to clean up a list — email addresses, URLs, names, log lines — where the same entry has crept in more than once, without sorting or otherwise rearranging your data.
The tool reads your text line by line and remembers each line it has seen. When it meets a line it has already kept, it skips it; otherwise it keeps it. To decide whether two lines are the same, it compares their trimmed content, so leading and trailing spaces do not stop a match.
Because it walks through the lines in order and keeps the first of each, the result preserves your original ordering rather than sorting it. It also reports the line count before and after, so you can see how many duplicates were removed.
for each line, compare its trimmed text to the lines already kept
first time seen → keep it
seen before → drop it (order of the kept lines is preserved)apple / banana / apple / cherry → apple / banana / cherry (4 lines in, 3 out)It keeps the first occurrence and preserves order. Matching ignores surrounding spaces but is case-sensitive, so Apple and apple are treated as different lines.
For a straightforward list, the result is exact: every unique line is kept once, in order, and every later duplicate is removed. The in and out counts confirm how many repeats went.
Matching is case-sensitive, so the same word in different cases — Apple and apple — is treated as two different lines and both are kept. Lower-case the text first if you want case to be ignored.
Lines are compared by their trimmed content, so two lines that differ only in leading or trailing spaces count as duplicates. The first one's original spacing is what stays in the output.
It removes whole-line duplicates only. It does not find duplicate words within a line, near-duplicates, or lines that differ by punctuation — those are kept as distinct. For those, a different cleanup step is needed.
Remove repeated emails, URLs or names from a list.
Collapse repeated log entries to unique ones.
Drop duplicate rows pasted from several sources.
Ensure a list of values has no repeats before importing.
To ignore case, convert the text to lower case first, then de-duplicate. To also sort, run the result through a line sorter. For near-duplicates, a fuzzy-matching tool is needed; this removes exact whole-line repeats.
Keeps the first occurrence of each line and drops later repeats, comparing lines by their trimmed content; preserves the original order and is case-sensitive.
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