CSV Validator
Validate your CSV for common issues. Check column consistency, duplicate headers, and formatting problems before importing. 100% free and secure.
How to Validate CSV
- Paste your CSV data in the input area
- Click the "Validate" button
- Review any warnings about inconsistent columns or headers
- Fix issues and re-validate before importing
Common CSV Issues
Inconsistent Column Counts
When some rows have more or fewer columns than the header row, causing import failures.
Duplicate Headers
Multiple columns with the same name can cause data mapping issues during import.
Empty Headers
Columns without header names may be ignored or cause errors in processing.
Unclosed Quotes
When a quoted field is not properly closed, causing parsing to fail.
CSV Best Practices
- -Always include a header row with unique column names
- -Quote fields containing commas, newlines, or quotes
- -Use consistent date and number formats
- -Avoid leading/trailing spaces in fields
- -Use UTF-8 encoding with BOM for Excel compatibility
Frequently Asked Questions
What does the CSV Validator check?
The validator checks for consistent column counts across rows, detects duplicate headers, identifies empty headers, and reports parsing errors like unclosed quotes.
What delimiters are supported?
The validator auto-detects common delimiters including comma (,), semicolon (;), tab, and pipe (|). It works with most CSV variants.
Why are consistent columns important?
Inconsistent column counts cause import failures in databases and spreadsheets. Each row should have the same number of columns as the header row.
Is my CSV data secure?
Yes, all validation happens directly in your browser. Your CSV data is never sent to any server or stored anywhere.