How can I validate a CSV file?

Use this tool to validate and check CSV files for errors, perform format checks, and conduct schema validation. Make sure your CSV files are well-structured and free from common issues.

What are some key features of this CSV Validator?

• File upload or CSV content pasting
• Preview of the first 5 lines of the CSV
• Automatic column type inference
• Comprehensive validation checks
• Detailed error reporting
• Display of passed checks

How to check if it's a valid CSV file?

You need to check for things like:

• File type verification
• Single column detection
• Data type consistency
• Encoding issues
• Header format validation
• Date validation
• Duplicate record detection
• Parsing errors
• Row consistency
• Blank row identification
• Whitespace in quoted fields

How does the tool handle schema validation?

The tool infers a basic schema by analyzing the data types in each column. It checks for consistency in data types and reports any inconsistencies as errors.

Can this tool validate CSV files with different delimiters?

Yes, the tool uses Papa Parse with auto-detection of delimiters, allowing it to handle CSV files with various separator characters.

How does the tool present validation results?

Validation results are displayed as a list of errors, each with a detailed description and the option to view the problematic row data. The tool also shows a list of passed checks for a comprehensive overview.

Is this tool suitable for checking large CSV files?

While the tool can handle large files, it limits the preview to the first 5 rows and uses a sample of up to 100 rows for schema inference to maintain performance.