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CSV Duplicate Remover

Find and remove duplicate CSV rows.

Privacy Certified: Zero server transmission. Files & text execute entirely in local browser memory.
CSV Data Input (comma, semicolon, or tab delimited) 0 lines

Duplicate Detection & Cleaning Options

Configurable
Workflow Guide

How to Operate CSV Duplicate Remover

Quickly remove duplicate rows from CSV files without loading heavy desktop software or sending sensitive customer data to unknown servers.

  1. 1 Upload your CSV file or paste tabular data.
  2. 2 Select whether to deduplicate against all columns or specific key columns (e.g. Email or ID).
  3. 3 Choose whether to keep the first occurrence or the last occurrence.
  4. 4 Download your deduplicated CSV and optionally view a log of removed rows.

Example Input & Output

Sample Input:
name,email
Alice,alice@example.com
Bob,bob@example.com
Alice,alice@example.com
Expected Output:
name,email
Alice,alice@example.com
Bob,bob@example.com

Supported Inputs

  • Comma-separated (.csv), Tab-separated (.tsv), and Semicolon-separated files
  • Quoted strings containing internal line breaks or commas
  • Files containing UTF-8 or ASCII character encodings

Browser Technical Limits

  • Case sensitivity is preserved by default; whitespace trimming can be toggled in settings.
  • Extremely large files (>500k rows) process best when comparison keys are limited.
Q&A

Frequently Asked Questions

Everything you need to know about CSV Duplicate Remover, formats, and privacy guarantees.

How does the duplicate detection algorithm work?

UtilityHub checks rows either across all columns or against only the columns you designate. By default, it preserves the first unique occurrence it encounters and drops subsequent duplicates while maintaining the relative row order.

Does trimming whitespace modify my exported CSV cells?

No. Trimming whitespace only normalizes cell values temporarily when calculating comparison hashes. Your exported CSV file retains the exact, original untrimmed text inside every cell.

Can I deduplicate by a specific key like Email or Customer ID?

Yes. Switch the comparison mode from "Entire Row" to "Selected Columns". You can then check only the columns (such as Email or ID) that define uniqueness for your dataset.

How are commas and quotes inside cells handled?

The parser strictly complies with RFC 4180 standards. Values enclosed in double quotes containing commas, escaped quotes (""), or embedded newlines are preserved accurately.

Is my spreadsheet data secure and private?

100% private. All processing takes place locally inside your web browser via Web Workers. No file data or CSV contents are ever uploaded to any server or external API.