CSV Tools

CSV (Comma-Separated Values) is a plain-text file format that stores tabular data using commas as delimiters. Each line represents a row, and each comma separates columns. CSV is used everywhere—from **Excel and Google Sheets** to **databases**, **data science**, **programming**, and **business reporting**—because it's simple, universal, and compatible with virtually any software.

100% Private. Our CSV Tools operate entirely in your browser (client-side). Your files are never uploaded to any server. All parsing, cleaning, analyzing, and transforming happens locally on your device using JavaScript, ensuring complete privacy for sensitive data like customer records, financial reports, or proprietary datasets.

Our CSV Tools suite includes 22+ features: CSV Viewer with pagination, Validator for detecting malformed rows, Delimiter Converter (comma, semicolon, tab, pipe), Column Manager (drag-drop reorder, rename, delete), Row Filter & Search with regex support, Multi-column Sorting, Data Cleaner (remove duplicates, trim whitespace, case conversion), Missing Data Handler, Find & Replace, CSV Merge (SQL-style joins), CSV Splitter, Format Converter (JSON, XML, SQL, HTML, Markdown), Statistics & Analysis with charts, Undo/Redo history, and Export Manager.

Yes! Our tool supports large files (100MB+) through intelligent pagination and row-by-row streaming. Instead of loading the entire file into memory, it processes data in chunks and displays results page-by-page. A progress bar shows processing status for huge datasets, ensuring smooth performance even on modest hardware.

Navigate to the Merge tab, upload your second CSV file, and choose a merge method: Append Rows (stack files vertically) or Join by Column (combine like SQL JOIN). For joins, select the matching columns from each file and choose Inner, Left, Right, or Full Outer join type. The tool handles the matching automatically—no SQL knowledge required!

You can export your processed data in 6 formats: CSV (with custom delimiters), JSON (structured objects), XML (tagged data), SQL INSERT statements (for database imports), HTML tables (for web pages), and Markdown tables (for documentation). Each format includes options for headers, encoding (UTF-8, ISO-8859-1), and quoting preferences.

The Validator performs 6 comprehensive checks: Column Count Consistency (rows with wrong column numbers), Empty Cells Detection, Duplicate Rows, Quote Matching (unescaped or broken quotes), Leading/Trailing Whitespace, and Data Type Consistency. Each issue is flagged with Error or Warning status, row number, and a description—making it easy to debug messy real-world CSVs.

Absolutely! The Filter & Search tab offers SQL-like filtering: Equals, Not Equals, Contains, Starts With, Ends With, Greater Than, Less Than, Between, Is Empty, and Is Not Empty. You can apply multiple filters with AND logic. The Sort tab supports multi-column sorting with auto-detection for text, numbers, and dates—ascending or descending.

The Statistics tab provides comprehensive column-level analysis: Count, Sum, Mean, Median, Mode, Min, Max, Range, Standard Deviation, and Variance. It also shows data type detection, unique values, empty cell percentage, and fill rate. A visual frequency chart displays value distribution. You can export all statistics as a JSON report.

Yes! Once the page loads, you can disconnect from the internet and continue using all features. Parsing, cleaning, merging, converting—everything runs locally in your browser using JavaScript. This makes it perfect for working with sensitive data in air-gapped environments or simply when you don't have reliable internet access.