CSV Column Validator
Validate CSV data against custom rules. Check for required fields, data types, and regex patterns. 100% client-side data validation.
Last updated: April 2026
Paste CSV to configure rules
Enterprise-Grade CSV Column Validator
Data quality is the foundation of reliable applications. Importing a CSV with missing email addresses or text in a numeric column can crash production services. Our **CSV Column Validator** allows you to define strict rules and verify your data before it ever hits your database.
Validation Features
- Type Enforcement: Ensure numbers are actually numbers and dates follow valid formats.
- Mandatory Fields: Identify rows with missing critical data (Required fields).
- Pattern Matching: Use Regular Expressions (Regex) to validate custom formats like UUIDs, IP addresses, or ZIP codes.
- Email & URL Check: Specialized validators for common web data formats.
Why Validate Before Import?
Manual data entry often leads to inconsistencies. By running your CSV through our validator, you catch errors at the source, reducing the need for database cleanups and preventing application crashes caused by unexpected data types.
Frequently Asked Questions
What validation rules can I apply?
You can validate columns for required values, data types (String, Number, Email, Date), and even custom Regex patterns for complex requirements like phone numbers or product IDs.
How are errors reported?
The tool generates a detailed report highlighting exactly which rows and columns failed each validation rule, making it easy to identify and fix data issues.
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