Validate CSV

Validate CSV helps you catch errors in your CSV files by checking for empty fields and column mismatches. Paste or upload a file to spot issues instantly.

Paste your input above or import a file below.
No file chosen
Supported file types: .csv, .txt, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
Total errors: 0
Options
Trim rows
Require same column count
Maximize output

How to Use:

  • Paste your CSV data into the CSV Input box or import a .csv, .txt, or other plain text file using the Choose File button.
  • Enable Trim rows to remove extra spaces from the start and end of each line before checking.
  • Toggle Require same column count to flag rows that don’t match the number of columns in the header.
  • Use Maximize output to expand the results area if you’re working with large files.
  • The tool validates your input live and shows issues like missing values or inconsistent row lengths in the Validation Output box.
  • Copy the result with Copy Output, or download it as a .txt file using Export to File.
  • The tool shows a live count of total errors beneath the output.
  • Press Clear All to reset the input, toggles, and imported file.

What Validate CSV can do:

Validate CSV helps you scan CSV files for problems fast. Whether you’re catching blank values, formatting mistakes, or mismatched column counts, the tool gives you instant feedback. It’s especially useful when prepping CSVs for upload, import, or integration. You can paste raw text, import a local file, and get a clear list of every issue found all in real time, directly in your browser.

Example:

Input:

Name,Age,City
Alice,30,New York
Bob,27
Charlie,33,Sydney
David,,Berlin

Output:

Line 2 ❌ Column count mismatch (2 vs 3)
Line 4 ⚠️ Contains empty field

If Require same column count is off:

Line 4 ⚠️ Contains empty field

If no issues are found:

✅ No issues found

Common Use Cases:

Use Validate CSV when preparing data for APIs, spreadsheets, or database imports. It’s perfect for checking whether fields are missing, rows are broken, or headers are inconsistent. If your workflow depends on clean structure, this gives you an easy way to spot and fix problems before they become real issues.

Useful Tools & Suggestions:

Try Find Incomplete CSV Records if you suspect missing data is the issue. And after validation, Fix a Broken CSV can help patch structural problems without rebuilding the whole file.

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