Free Online Duplicate Row Remover

This tool removes duplicate rows from CSV, matching on the whole row or on a single key column, keeping the first occurrence of each.

Your data is processed entirely in your browser and never sent to any server.

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How to Use This Tool

  1. Paste CSV with a header row into the input box.
  2. Choose Whole row to remove exact duplicates, or pick a key column.
  3. Read the count of removed rows to confirm the result.
  4. Copy the deduplicated CSV from the output box.
  5. Normalize case or whitespace beforehand if you need looser matching.

What Is a Duplicate Row Remover?

De-duplicating a table is a row-level operation, not a line-level one. This tool parses CSV (per RFC 4180) and drops repeated rows, keeping the first occurrence in document order so the surviving rows retain their original sequence. It reports how many rows it removed so you can sanity-check the result.

The key choice is what counts as a duplicate. Match on the whole row to remove only exact copies where every field is identical. Or match on a single key column — for example, keep one row per email address or one per order ID — which collapses records that share that key even if other columns differ. That single-column keying is the part generic line-dedup tools cannot do, and it is the common real-world need when cleaning a contact list or a transaction log.

Matching is case-sensitive, so "Alice" and "alice" are treated as distinct; normalize your data first if you need looser matching. This is the tabular companion to the text remove-duplicates tool, which dedupes raw lines instead of structured rows. Everything runs locally in your browser.

Frequently Asked Questions

How does this differ from removing duplicate lines?
It dedupes structured table rows and can key on a single column — for example one row per email — instead of comparing raw text lines.
Which copy is kept?
The first occurrence in document order is retained and later matching rows are dropped, so the original ordering of survivors is preserved.
Is matching case-sensitive?
Yes by default, so Alice and alice count as different. Trim and normalize your data first if you need looser matching.

Published by the WeGotEveryTool team. We build and test every tool in-house and update pages when the underlying spec, formula, or recommendation changes.

Reviewed: May 2026. Disclaimer: this tool is provided as-is for general informational use. For decisions with material consequences (medical, legal, financial, security) verify results against a qualified professional source.

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