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Remove Duplicate Rows

Remove duplicate rows from CSV, TSV, or pasted table data.

Spreadsheet and CSV friendlyExact or normalized matchingLocal text processingClean formatting

Paste lines, CSV rows, or copied spreadsheet data. Processing happens locally in your browser.

Copy or download the deduplicated rows and paste them into Excel, Google Sheets, or a CSV file.

Use header names or 1-based column numbers. Leave blank for full-row duplicate matching.

Cleanup notes

  • • Auto-detected delimiter: ,

Input rows

8

Rows detected before cleanup.

Output rows

5

Rows left after dedupe.

Duplicates removed

3

Repeated rows removed.

Empty rows removed

0

Only when enabled.

Cleaned Output Preview

emailnamestatus
alice@example.comAliceActive
bob@example.comBobPending
charlie@example.comCharlieActive
dana@example.comDanaActive

Local cleanup

Pasted rows are deduplicated in your browser without backend calls.

Spreadsheet friendly

Works with copied Excel, Google Sheets, CSV, TSV, and line-based data.

Flexible matching

Use exact rows, trim spaces, ignore case, or match by selected key columns.

Dynamic Dedupe Insights

3 duplicate rows removed while preserving the first occurrence.
Whitespace is ignored while matching duplicate rows.
Case-insensitive matching is enabled, so Apple and apple are treated as duplicates.
The header row is preserved and not included in duplicate matching.
Rows were deduplicated using full-row matching.

How Duplicate Row Removal Works

Duplicate row removal compares rows and keeps one copy.

Exact matching removes only rows that are identical.

Normalized matching can ignore whitespace or letter casing.

Key-based matching can remove duplicates based on selected columns.

Preserving order keeps the cleaned data close to the original input.

Exact Match vs Normalized Matching

Exact match

Apple and apple are different rows. Extra spaces can also make rows different.

Normalized match

Case and whitespace can be ignored while still preserving the original saved row.

Headers, Columns, and Key-Based Dedupe Notes

Headers identify columns and should usually be preserved.
Full-row dedupe compares every cell in the row.
Key-based dedupe compares selected columns such as email, SKU, ID, or order number.
Duplicate keys can indicate repeated records.
Missing keys should be reviewed before import.
Column mismatches can make dedupe results unreliable.

Spreadsheet and CSV Cleanup Use Cases

Removing duplicate spreadsheet rows
Cleaning CSV exports
Deduping customer lists
Deduping email lists
Cleaning product SKUs
Removing repeated report rows
Preparing CRM imports
Cleaning survey responses
Organizing copied spreadsheet data
Preparing data before sorting or merging

Common Duplicate-Row Examples

Exact duplicate lines removed
Duplicate email rows removed
Duplicate product SKU rows removed
Case-insensitive duplicate cleanup
Whitespace-normalized duplicate cleanup
Header row preserved
First occurrence kept
Last occurrence kept

Privacy and Local Processing Notes

Pasted rows are processed locally in the browser.

No account is required, and no backend storage is added by this page.

Downloaded output is generated locally.

Avoid pasting sensitive production data unless necessary.

This tool is intended for lightweight spreadsheet cleanup and import preparation.

Method Explanation

  1. 1. Paste rows, CSV text, or spreadsheet-style data.
  2. 2. Choose line, CSV, or tab-separated mode.
  3. 3. Select delimiter and header options if needed.
  4. 4. Choose exact, normalized, or key-based duplicate matching.
  5. 5. Compare rows using the selected rule.
  6. 6. Keep the first or last occurrence based on the selected option.
  7. 7. Remove duplicate and optional empty rows.
  8. 8. Preview, copy, or download the cleaned output.

Frequently Asked Questions

A duplicate row remover compares rows in pasted text, CSV, or spreadsheet data and keeps only one copy of repeated rows.

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