CSV Duplicate Remover

Paste CSV and strip duplicate rows — matching on the entire row or a single key column like email or ID. First occurrence wins, original order is preserved, and every removed row is listed so you can verify the result. All in your browser.

csv-dedupe · runs locally

Remove duplicate rows without losing control

Duplicate rows creep into CSV files constantly — merged exports, re-run reports, copy-paste accidents. This tool removes them with two strategies: entire row matches, where every field must be identical, or match on key column, where a single column such as email or ID defines uniqueness. In both modes the first occurrence wins and the original row order is preserved — nothing is sorted behind your back.

The part most dedupe tools skip: you can see exactly what was dropped. The removed rows appear in a collapsible panel below the stats, so you can verify the tool deleted what you expected before trusting the output — essential when the file is a customer list you cannot easily reconstruct. And because everything runs locally in your browser, that customer list is never uploaded anywhere.

How to deduplicate a CSV

  1. Paste your CSV — the delimiter is auto-detected, with an override if needed.
  2. Leave First row is a header ticked to keep the header out of the comparison.
  3. Pick whole-row or key-column matching, and turn off case sensitivity if Ada@example.com and ada@example.com should count as the same.
  4. Check the stats and the removed-rows list, then copy or download the result.

Cleaning up before or after deduplication

Deduplication often pairs with column cleanup: dropping the columns that make rows spuriously unique (timestamps, row IDs) before matching, or trimming a file down after. The CSV Column Extractor handles both — select just the columns you care about, then paste the result back here for a whole-row dedupe.

Frequently asked questions

Does my CSV leave my computer?

No. Parsing, comparison and deduplication all run in your browser — nothing is uploaded. That matters here more than most tools, because deduplication jobs usually involve customer lists, email databases or production exports.

Whole-row matching vs. key column — which should I use?

Whole-row treats rows as duplicates only when every field matches. Key-column matches on one field: two rows with the same email but different names are duplicates in key mode but not in whole-row mode. Use key mode to enforce uniqueness on an ID or email; whole-row to remove accidental exact copies.

When duplicates are found, which row is kept?

The first occurrence, in the order the rows appear in your input. Every later row with the same key is removed and listed in the removed-rows panel, so if you want a particular version kept, sort it to the top before deduplicating.

Does the tool sort or otherwise reorder my rows?

No. Unlike sort -u style approaches, deduplication here preserves the original row order exactly — surviving rows come out in the same sequence they went in, with the header row untouched at the top.