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CSV Validator

Validate CSV format and check for common errors

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Click to browse or drag and drop your file here
Supported formats: .csv, .txt
Maximum file size: 10MB
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Enter or upload CSV data to validate

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About this Tool

CSV Validator is a free, privacy-first tool built for developers. Validate CSV format and check for common errors

100% Client-Side

All processing in your browser

Fast & Efficient

Instant results, no delays

Free Forever

No signup, no limits

File Support

Upload or paste content

History

Saved locally for quick access

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Disclaimer

This tool is provided for informational and educational purposes only. All processing happens entirely in your browser - no data is sent to our servers. While we strive for accuracy, please verify critical data before use in production environments. FormatKit is not responsible for any data loss, corruption, or issues resulting from tool usage.

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Keyboard Shortcuts

Ctrl+↵Validate CSV
Ctrl+KClear all
Ctrl+ELoad example

How to Use CSV Validator

Upload a CSV file or paste your CSV data into the input field and it will be automatically validated. The validator checks for common CSV format issues and provides detailed error messages.

Features

  • Instant validation as you type
  • Comprehensive error detection for format issues
  • Row and column statistics
  • Header detection and validation
  • Empty cell detection
  • Inconsistent column warnings

Common Issues Detected

  • Inconsistent column count: Rows with different numbers of columns
  • Malformed rows: Improperly quoted fields or escaped characters
  • Empty rows: Completely blank rows in the data
  • Empty cells: Missing values in specific cells
  • Invalid characters: Special characters that may cause parsing issues

FAQ

Q: Is my data secure?

Yes! All CSV validation happens entirely in your browser. Your data never leaves your device.

Q: What's the maximum file size?

The validator can handle CSV files up to 10MB. For optimal performance, we recommend files under 5MB.

Q: Does this validator support different CSV delimiters?

Currently, the validator expects standard comma-separated values. Support for custom delimiters (semicolon, tab) may be added in the future.

Disclaimer: This validator provides basic CSV format validation. For production systems, always implement comprehensive data validation that includes business logic rules specific to your use case. This tool is provided as-is for convenience and educational purposes.