CSV Validator
Validate CSV structure, detect parse problems and inspect parsed rows.
Delimiter
Auto
Use header row
Skip empty lines
Dynamic typing
CSV Input
Paste CSV text here for validation.
Validation Summary
Review the parsed shape and any detected issues.
Rows
0
Columns
0
Errors
0
Bytes
0
Parsed JSON Preview
Row Preview
How to use
- Paste CSV content into the validator.
- Choose header and delimiter settings to match the source.
- Click 'Validate CSV' to inspect parser and structural issues.
- Review the row preview and JSON output together.
- Use the summary cards to quickly gauge data quality.
Related Knowledge
CSV validation is not just syntax checking. You also need to look for inconsistent column counts, extra fields and parsing ambiguity caused by delimiters or quoting.
What counts as a CSV issue?
Parser errors are explicit failures, but column drift, extra values and header mismatches are also practical validation issues during ingestion.
Why inspect preview rows?
A preview table makes it easier to confirm whether values ended up in the expected columns after parsing options are applied.
Key Features
- Parser error reporting
- Structural issue detection
- Row preview and JSON preview
- Configurable parsing options
Common Applications
- Validate imported CSV files
- Check data exports before ingestion
- Detect header mismatches
- Inspect delimiter-related parsing problems