Remove duplicate rows from CSV files instantly with smart key-based deduplication. Choose which columns to compare, configure normalization rules, and get clean data in seconds. 100% free, no signup required.
Why use this CSV duplicate remover? Unlike basic tools, this handles case-insensitive matching, whitespace normalization, punctuation stripping, and processes 1M cells per second entirely in your browser. Your data never leaves your device - complete privacy guaranteed.
Upload your CSV file
Drag and drop a CSV file or click to select.
Drag CSV file here or click to select
Maximum file size: 50MB
1. Upload your CSV file
Drag and drop a CSV file or click to select. The tool automatically detects delimiters and headers.
2. Configure deduplication
Choose key-based (compare specific columns) or exact-row matching. Select normalization options like case-insensitive or trim spaces.
3. Remove duplicates
Click "Remove duplicates" to process your data. View results and download the cleaned CSV plus a duplicates report.
Smart key-based deduplication
Select which columns to compare. Perfect for finding duplicate emails, IDs, or any combination of fields.
Flexible normalization
Trim spaces, collapse whitespace, case-insensitive matching, and strip punctuation for accurate duplicate detection.
100% client-side processing
Your data never leaves your browser. Complete privacy guaranteed.
Comprehensive reports
Download cleaned data, duplicates report with metadata, and summary JSON with full statistics.
Auto-detection
Automatically detects delimiters (comma, semicolon, tab, pipe) and handles duplicate headers.
While this free tool handles CSV deduplication, production applications need comprehensive data onboarding infrastructure.
Ivandt SDK provides schema-based validation, cross-field rules, data transformation pipelines, and real-time error correction - everything you need for production-grade bulk data imports.
Process millions of rows with client-side validation at 1M cells/sec. Embeddable UI components work in React, Vue, Angular, or vanilla JS. Configure once, reuse everywhere.
Every app needs bulk data import. Instead of rebuilding CSV uploaders, validation logic, and error handling for each project, use Ivandt's battle-tested infrastructure.
This free tool is built and maintained by Ivandt. We believe in giving back to the developer community with useful, privacy-focused tools.
How do I remove duplicate rows from a CSV file?
Upload your CSV file, select which columns to use as keys for duplicate detection (like email or ID), configure normalization options (case-insensitive, trim spaces), and click "Remove duplicates". The tool will identify and remove duplicate rows, keeping either the first or last occurrence based on your preference.
Is this CSV duplicate remover really free?
Yes, completely free with no signup, no limits, and no hidden costs. Process files with millions of rows without any restrictions. All processing happens in your browser, so there are no server costs to pass on to you.
Is my data safe? Where is it stored?
Your data never leaves your browser. All CSV parsing, duplicate detection, and file generation happens 100% client-side using JavaScript. No data is uploaded to any server, ensuring complete privacy and security for sensitive information.
What's the maximum file size I can process?
The tool can handle files up to 50MB and 2 million rows. For most CSV files, this is more than sufficient. The actual limit depends on your browser's available memory, but the tool includes safeguards to prevent crashes.
Can I remove duplicates based on multiple columns?
Yes! Select multiple columns as keys. For example, you can find duplicates where both "First Name" AND "Last Name" match, or where "Email" AND "Phone" match. This gives you precise control over what constitutes a duplicate.
What's the difference between key-based and exact-row matching?
Key-based matching compares only the columns you select (like email or ID), while exact-row matching requires all columns to be identical. Key-based is more flexible and commonly used for real-world data cleanup.
Does it handle case-sensitive duplicates?
Yes! Enable "Case insensitive" matching to treat "john@example.com" and "JOHN@EXAMPLE.COM" as duplicates. You can also enable whitespace trimming and punctuation stripping for even more flexible matching.
What formats can I download?
Download three files: (1) Deduplicated CSV with clean data, (2) Duplicates report showing removed rows with metadata, and (3) Summary JSON with statistics. All downloads preserve your original delimiter (comma, semicolon, tab, or pipe).
CRM data cleanup
Remove duplicate customer records before importing into Salesforce, HubSpot, or your CRM. Match by email, phone, or custom fields.
Email list deduplication
Clean mailing lists by removing duplicate email addresses. Case-insensitive matching ensures john@example.com = JOHN@EXAMPLE.COM.
Product catalog cleanup
Remove duplicate SKUs, product IDs, or inventory items. Keep the most recent entry or first occurrence based on your needs.
Data migration prep
Clean data before migrating between systems. Remove duplicates, validate formats, and ensure data quality for smooth migrations.
Survey response cleanup
Remove duplicate survey submissions by matching respondent email, ID, or timestamp. Keep only unique responses for accurate analysis.
Transaction deduplication
Find and remove duplicate transactions, orders, or invoices. Match by transaction ID, amount, date, or any combination of fields.
