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.
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Format CSV exports from databases and APIs
Format contact information and address books
Format sales and analytics data for reporting
Format product listings with specifications
Formatted CSV will appear here
Example CSV Files
Name,Age,City John Doe,30,New York Jane Smith,25,Los Angeles Bob Johnson,35,Chicago
Product,Price,Quantity,Total Laptop,999.99,5,4999.95 Mouse,29.99,10,299.90 Keyboard,79.99,8,639.92
Name;Email;Phone Alice Brown;alice@example.com;555-0101 Charlie Davis;charlie@example.com;555-0102
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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.