CSV cleanup workflow

Remove duplicate CSV rows without damaging the source

Duplicates can be exact, partial, or caused by whitespace and letter-case differences. Choose the rule before deleting rows.

01

Define what duplicate means

The safest cleanup starts with normalization and an explicit comparison rule.

1

Upload or paste CSV

Confirm the delimiter and header row.

2

Select comparison columns

Use all columns or a stable identifier such as email or product code.

3

Normalize carefully

Trim whitespace or compare case-insensitively only when appropriate.

4

Review and download

Check removed-row counts and keep the original file.

02

What counts as a duplicate

A duplicate row is one that matches another row on the columns you choose. Full-row matching compares every column; key-column matching compares only the columns you select, which is better for files where some fields change between records.

The tool shows a preview of what will be removed before you download, so you can confirm the choice.

  • All columns: the row must match on every field
  • Key columns: only selected fields are compared
  • First occurrence is kept by default
  • Removed rows are counted in the report
03

Why duplicate cleanup fails

  • Whitespace creates false differences
  • Case changes hide matching values
  • Blank identifiers merge unrelated records
  • Header rows can be treated as data
04

Recommended safeguards

  • Keep the first or last record intentionally
  • Use stable unique columns
  • Preview removed records
  • Save a source backup
05

Frequently asked questions

Does the tool keep the first or last occurrence?

By default the first occurrence of each duplicate is kept and later matches are removed.

Can I deduplicate on a single column?

Yes. Choose key-column mode and select the column to compare.

Will my file be changed before I see the preview?

No. The preview shows the result first; the download only happens when you confirm.

Is my CSV uploaded?

No. Deduplication runs locally in your browser.

06

Customer lists can stay local

The duplicate remover works in the browser. Do not upload sensitive lists to unrelated services when local processing is sufficient.

Open CSV Duplicate Remover