# CSV Deduplicate Rows Upload a CSV file or paste CSV text, remove duplicate rows using exact or fuzzy matching, and download a cleaned CSV. > Canonical page: https://elysiatools.com/en/tools/csv-deduplicate-rows - **Category:** Data Processing - **Keywords:** csv dedupe, deduplicate rows, csv clean, remove duplicates, data cleaning, spreadsheet cleanup ## Overview Useful for CRM exports, lead lists, survey data, and spreadsheet cleanup when you need row-level deduplication with a downloadable result. ## Inputs - **CSV File** (file): Upload a CSV file if you prefer not to paste data - **Paste CSV Data** (textarea): Paste CSV content here when working from copied data - **Deduplication Columns** (textarea): email, phone or name, email - **Deduplication Strategy** (select) - **Enable Fuzzy Matching** (checkbox) - **Fuzzy Match Threshold (0-100)** (range) - **Case Sensitive Matching** (checkbox) - **Trim Whitespace** (checkbox) - **Preserve Original Order** (checkbox) - **Output File Name** (text): cleaned-customers ## When to use - When preparing CRM contact lists or sales leads that contain redundant email addresses or phone numbers. - When merging multiple survey response sheets where respondents might have submitted duplicate entries with minor spelling variations. - When cleaning up raw database exports before importing them into a new system or analytical tool. ## How it works - Upload your CSV file or paste the raw CSV text directly into the input area. - Specify the target deduplication columns and choose your strategy, such as keeping the first, last, or most complete record. - Configure matching preferences like fuzzy matching thresholds, case sensitivity, and whitespace trimming. - Process the data and download your cleaned CSV file. ## Use cases - Removing duplicate email addresses from marketing newsletter subscription lists. - Consolidating customer records from multiple CRM exports by matching names and phone numbers. - Cleaning up survey data where users submitted multiple responses with slight typos in their names. ## Frequently asked questions ### Can I deduplicate based on specific columns? Yes, you can specify one or more column names to target for deduplication, such as email or phone. ### What is the 'most complete record' strategy? This strategy evaluates duplicate rows and retains the row containing the fewest empty or null values. ### How does fuzzy matching work? Fuzzy matching identifies duplicates with minor spelling differences or typos based on a similarity threshold you set from 0 to 100. ### Does the tool modify my original file? No, the tool processes your data locally or securely in-memory and outputs a new, cleaned CSV file for download. ### Can I preserve the original row order? Yes, checking the 'Preserve Original Order' option ensures the output rows remain in their original sequence. ## Related tools - [BOM Character Remover](https://elysiatools.com/en/tools/data-bom-remover): Remove BOM (Byte Order Mark) characters from text and file content. Perfect for cleaning up text files that have encoding issues, fixing CSV imports, and preparing data for processing. Features: - Detect and remove UTF-8 BOM (EF BB BF) - Detect and remove UTF-16 BOM (FE FF or FF FE) - Detect and remove UTF-32 BOM (00 00 FE FF or FF FE 00 00) - Support multiple input formats - Visual BOM character display - Detailed detection report - Support for batch text processing Common Use Cases: - Fix CSV file import errors - Clean up text file encoding issues - Prepare data for JSON parsing - Fix XML parsing problems - Resolve API data encoding conflicts - Standardize text data format - [Data Cleaner](https://elysiatools.com/en/tools/data-cleaner): Clean and standardize data by fixing spelling errors, standardizing formats, removing duplicates, and filling missing values - [Header Remover](https://elysiatools.com/en/tools/header-remover): Remove headers from CSV data to create clean header-less files. Perfect for database imports, data processing pipelines, API integrations, and systems that require header-less CSV format. Features: - Remove first row (header) from CSV data - Remove multiple header rows - Skip empty lines before removing headers - Preserve data integrity - Support various CSV separators - Preview before removal - Data validation options - Batch processing capabilities Common Use Cases: - Prepare data for database imports - Clean up API response data - Remove metadata from exported files - Create header-less data for machine learning - Prepare data for systems that don't use headers - Extract pure data values from structured files - [CSV File Merger](https://elysiatools.com/en/tools/csv-merger): Merge multiple CSV files into a single file with options for header handling and deduplication - [PDF Header/Footer Noise Remover](https://elysiatools.com/en/tools/pdf-header-footer-noise-remover): Compare extraction with and without repeated page furniture to spot header/footer noise before using PDF text in RAG, summarization, or editing workflows - [Data Deduplicator](https://elysiatools.com/en/tools/data-deduplicator): Remove duplicate rows from CSV files based on multiple column combinations. Perfect for cleaning customer lists, survey responses, and database exports. Features: - Multi-column combination deduplication - Fuzzy matching for similar records - Custom deduplication strategies (keep first, last, or most complete record) - Case-insensitive matching option - Whitespace trimming - Detailed duplicate statistics Common Use Cases: - Remove duplicate customer records - Clean email marketing lists - Eliminate redundant survey responses - Prepare data for analysis - [Data Outlier Processor](https://elysiatools.com/en/tools/data-outlier-processor): Advanced outlier detection and processing tool that identifies, removes, or replaces anomalous values in numerical data using multiple statistical methods. Perfect for data cleaning, statistical analysis, and machine learning data preparation. Features: - Multiple detection methods (IQR, Z-score, Modified Z-score, Isolation Forest) - Flexible handling strategies (Remove, Replace with mean/median/mode, Cap) - Automatic threshold optimization - Multi-dimensional outlier detection - Visual outlier statistics and reporting - Batch processing capabilities - Custom sensitivity levels - Comprehensive impact analysis Common Use Cases: - Data cleaning and preprocessing - Statistical analysis preparation - Machine learning dataset cleaning - Quality control in manufacturing - Financial anomaly detection - Sensor data validation - [Data Range Limiter](https://elysiatools.com/en/tools/data-range-limiter): Limit numerical values to specified ranges by clipping, filtering, or marking out-of-bounds values. Perfect for data quality control, sensor data cleaning, business rule enforcement, and data preprocessing. Features: - Range clipping (clip values to min/max boundaries) - Range filtering (remove out-of-bounds rows) - Range marking (flag modified values) - Per-column range configuration - Automatic numeric column detection - Multiple handling strategies - Detailed modification reports - Statistical analysis of changes - Business rule enforcement Common Use Cases: - Sensor data validation and cleaning - Machine learning input preparation - Data quality control and validation - Business constraint enforcement - Outlier management and control - Data preprocessing pipelines ## Samples - [CSV Samples](https://elysiatools.com/en/samples/csv-samples): Sample CSV files with various data types, sizes, and complexity levels - [Windows String Processing - C# Samples](https://elysiatools.com/en/samples/windows-string-processing-csharp): Comprehensive C# string processing examples for Windows platform including string manipulation, splitting, joining, regex operations, and text analysis - [Python Samples](https://elysiatools.com/en/samples/python): Essential Python code examples and Hello World demonstrations - [WebRTC Real-Time Communication Samples](https://elysiatools.com/en/samples/webrtc-samples): Comprehensive WebRTC samples for peer-to-peer audio/video communication, data channels, screen sharing, and signaling server implementation ## Related content - [Text Extraction Tools](https://elysiatools.com/en/hubs/text-extract): Explore 15 tools for extracting links, emails, phone numbers, dates, emojis, HTML attributes, and other structured signals from mixed text. - [Text Case, Encoding, and Normalization Conversion Tools](https://elysiatools.com/en/hubs/text-convert): Compare text case conversion, character-width conversion, encoding conversion, quoted-printable handling, and inline text normalization tools in one hub. - [CSV Export and Table Conversion Tools](https://elysiatools.com/en/hubs/csv-convert): Compare CSV to Excel, JSON, HTML, Markdown, XML, and text conversion tools in one hub for tabular export and interchange workflows. - [Text Tools](https://elysiatools.com/en/hubs/text-utility): Explore 33 text tools for utility workflows and compare closely related utilities quickly.