CSV Validator

Validates CSV and reports row/column counts.

CSV Validator checks whether your CSV data is well-formed and reports a quick summary of its structure. Paste your CSV and the tool parses it in the browser, flagging the first parse error it finds or, when the data is valid, showing the total number of rows and the maximum number of columns. It's a fast way to lint and check CSV before importing it into a spreadsheet, database, or data pipeline.

Common uses

  • Quickly verify that an exported CSV is well-formed before importing it elsewhere
  • Find the first parse error and the row where it occurs when a CSV won't load
  • Count how many data rows a CSV contains after empty lines are skipped
  • Check the maximum column count to spot rows with extra or missing fields
  • Sanity-check CSV generated by a script or API response before committing it

FAQ

Is my data sent to a server?

No. The validation runs entirely in your browser using a client-side parser, and nothing you paste is uploaded or stored anywhere.

How does it decide the column count?

It reports the maximum number of columns found across all rows. If rows have inconsistent field counts, this reflects the widest row rather than a fixed schema.

Does it count empty lines as rows?

No. Empty lines are skipped during parsing, so the row count only reflects non-empty rows.

Why does it still report valid even when the delimiter looks unusual?

The parser auto-detects the delimiter, and delimiter-detection notices are not treated as fatal errors. Only genuine parse problems, such as malformed quotes, are reported as failures.

Does it show every error in the file?

No. It reports the first fatal parse error along with its row number, so fix that issue and re-run to surface any further problems.

Related tools

  • CSV → HTML Table
  • CSV → JSON
  • CSV → Markdown Table
  • CSV → SQL Insert
  • CSV → XML
  • CSV → YAML
  • CSV Transpose
  • CSV ↔ TSV