Data Tools Platform

CSV Validator

Validate the structure of your CSV file.

What this tool helps you do

This tool checks whether your CSV file has a valid structure. It detects problems such as inconsistent column counts, missing headers, or duplicated column names that may cause import errors.

Common use cases

Check CSV files before importing them into another system.
Detect formatting problems that cause upload failures.
Validate exported reports before sharing them.
Troubleshoot CSV import errors.

Part of these categories

CSV ToolsData Cleaning Tools

Related guide

How to Validate a CSV File

Learn how to validate a CSV file and detect structural issues before import, export, or automation workflows.

Read the guide

What this tool does

This tool checks whether your CSV file has a valid structure. It detects problems such as inconsistent column counts, missing headers, or duplicated column names that may cause import errors.

How to use it

  1. Upload your CSV file.
  2. Click the "Run tool" button.
  3. Review the validation result.
  4. Fix any detected issues if needed.

Example

Input:

name,age,country
Maca,30,Brasil
Ana,25
Jose,28,Peru

Output:

CSV is invalid: inconsistent column count in row(s) 3.

Common use cases

  • Check CSV files before importing them into another system.
  • Detect formatting problems that cause upload failures.
  • Validate exported reports before sharing them.
  • Troubleshoot CSV import errors.

Important notes

  • All rows must contain the same number of columns.
  • Duplicate headers are not allowed.
  • Empty files are considered invalid.

FAQ

What makes a CSV invalid?

A CSV file is invalid when rows contain different numbers of columns or when duplicate headers exist.

Does this tool fix CSV errors?

No. This tool only detects structural issues. You can fix them manually or using other tools.

Can this help with CSV import errors?

Yes. Many import failures happen due to inconsistent column counts or missing headers.

Related tools