About

CSV Formatter & Validator – Normalize & Convert Spreadsheet Data

Detect delimiters, validate rows, and convert CSV files into clean JSON or table outputs for analytics, APIs, and database imports.

🟢 Runs locally · no uploads

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Data Export

Format CSV exports from databases and APIs

contacts
Contact Lists

Format contact information and address books

analytics
Sales Reports

Format sales and analytics data for reporting

inventory
Product Catalogs

Format product listings with specifications

CSV Input
Formatted CSV
output

Formatted CSV will appear here

code_blocksExample CSV Files

Simple CSV
Name,Age,City
John Doe,30,New York
Jane Smith,25,Los Angeles
Bob Johnson,35,Chicago
With Numbers
Product,Price,Quantity,Total
Laptop,999.99,5,4999.95
Mouse,29.99,10,299.90
Keyboard,79.99,8,639.92
Semicolon Delimiter
Name;Email;Phone
Alice Brown;alice@example.com;555-0101
Charlie Davis;charlie@example.com;555-0102

keyboardKeyboard Shortcuts

keyboardShow shortcutsexpand_more
Ctrl+EnterFormat CSV
Ctrl+LClear All

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› About this tool · FAQ

Format, validate, and convert CSV data with support for different delimiters, data type detection, sorting, filtering, and conversion to JSON or table format.

What delimiters are supported?

The tool supports comma, semicolon, tab, pipe, and custom delimiters. It can auto-detect the most likely delimiter from your data.

How does data type detection work?

The tool analyzes column values to detect integers, numbers, dates, booleans, emails, URLs, and text. This helps with validation and proper data handling.

Can I sort and filter CSV data?

Yes, you can sort by any column in ascending or descending order, and filter rows by column values using substring matching.

What validation features are available?

Validation includes checking column consistency, detecting empty rows, data type validation, and identifying malformed records with detailed error reporting.

How are quoted fields handled?

The tool properly handles quoted fields with embedded delimiters, newlines, and escaped quotes according to RFC 4180 CSV standards.