Softonic

Duplicate Line Remover

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A CSV export with repeated rows, a log file with duplicated entries, a keyword list built from three overlapping sources: whenever your text contains identical lines, this remover collapses them and keeps the first occurrence in its original position. Two matching options, case-sensitive or not, plus optional whitespace trimming, and a count of how many lines were removed.

How to remove duplicate lines

  1. 1

    Paste the text

    Drop in a list, a log, a CSV column or any text where each entry sits on its own line.

  2. 2

    Choose matching options

    "Case sensitive" keeps `Apple` and `apple` as separate lines; turning it off merges them. "Trim whitespace" removes leading and trailing spaces before comparing.

  3. 3

    Remove duplicates

    Click the button. The first occurrence of each line is kept and later repeats are dropped.

  4. 4

    Check and copy

    The stats show original lines, unique lines and duplicates removed. Copy the cleaned text when it looks right.

How matching works

Option Behavior
Case sensitive (default) Apple and apple are kept as separate lines
Case insensitive Apple and apple count as the same line
Trim whitespace (default) “ hello” and “hello ” are treated as the same line

The first occurrence of every line is kept, so the original order of the text is preserved.

Common use cases

  • CSV cleanup. Paste a single column (names, emails, SKUs) and remove repeats before re-joining it to the other columns.
  • URL lists. Consolidate scraped URL lists where the same page appears many times.
  • Keyword research. Merging keyword exports from several tools inevitably produces duplicates.
  • Email lists. Before importing into a CRM, remove exact duplicates to avoid “already exists” errors.
  • Log file triage. Strip repeated warning lines to see the unique issues.

What it does not do

  • No column-aware dedup. A CSV with email,name where the email repeats but the name differs keeps both rows, because the whole lines differ. To deduplicate by one column, extract that column first, deduplicate it, then use it as a key on the original file.
  • No header protection. Every line is treated as data, so a repeated header line is removed like any other line.
  • No fuzzy matching. Lines that differ by a typo, internal spaces or punctuation are not merged.

Tips

  • Normalize before matching. Lowercase and strip surrounding punctuation to catch “Apple, “, “ apple “ and “Apple” as one entry.
  • Keep a backup of the original text before running large cleanups.
  • Check the stats. If you expected 10 percent duplicates and 80 percent were removed, something in the input is off.

Frequently Asked Questions

The first one. The order of the original text is preserved, so each unique line stays in its original position.

Not automatically. Every line, including the header, is compared like any other. If a later line equals the header, it is removed. Store the header separately if you need it.

This remover is exact-match focused for speed. For fuzzy matching (typos, different casing, extra punctuation) use a dedicated deduplication tool with a similarity threshold.

Yes. The text is sent to our server so the tool can process it, and the result is shown on the page. The text is not stored afterwards.

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