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CSV Validator

Validate CSV files in your browser. Catches column drift, unterminated quoted cells, and stray quote characters. RFC 4180 compliant. Runs in your browser. No data sent.

110 chars

Status

Valid

Rows

4

Columns

4

Issues

No issues. 4 rows × 4 columns.

How It Works

  1. 1

    Paste CSV

    Drop your CSV into the input area.

  2. 2

    Pick the delimiter

    Comma by default. Switch to semicolon or tab as needed.

  3. 3

    Read the status

    Valid or a list of issues with line numbers.

Use Cases

  • Pre-import sanity check

    Catch broken rows before they hit your database import.

  • ETL output validation

    Confirm pipeline output is well-formed before downstream consumers parse it.

  • Spreadsheet export QA

    Verify exports from Sheets / Excel parse cleanly with quoting intact.

  • Fixture review

    Validate CSV test fixtures before committing.

Frequently Asked Questions

Three things: (1) every row has the same column count, (2) quoted cells are properly closed, (3) stray quotes in unquoted cells. RFC 4180 quoting (escaped `""`, commas and newlines inside quoted cells) is fully supported.
Yes. Switch the delimiter to `;` (semicolon-separated) or `\t` (tab-separated). Only single-character delimiters are supported.
Row 1 sets the expected column count for every subsequent row. If your file has no header, that's fine. Row 1 just establishes how many columns each row should have.
No. Encoding is handled by your browser when you paste. To check for BOMs or non-UTF-8 bytes, use a hex viewer or `file` from the command line.
No. Parsing runs entirely in your browser. Safe for PII, customer data, or any CSV you do not want leaving your machine.
It still works. Parsing is linear in input size. The Issues panel shows the first 50 errors to keep the UI responsive.

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