Validate structure, encoding, and data quality

CSV Validator
& Error Checker

Validate CSV files before importing to databases, Excel, or analytics tools. Check structure, detect encoding issues, validate emails/dates/numbers. Get instant error reports with line numbers.

How CSV Validation Works

1

Upload CSV

Drop your CSV file. Validation happens in your browser, files never leave your computer.

2

Auto-Detect Issues

Scan for malformed rows, encoding problems, invalid emails/dates, empty cells, duplicates.

3

Review Report

See detailed validation report: row/column count, data types, errors with line numbers.

4

Fix & Download

Use 14 cleaning tools to fix issues, then download clean, validated CSV.

What Gets Validated?

File Structure

Check delimiter (comma, semicolon, tab), consistent column count per row, proper quoting.

Encoding Issues

Detect UTF-8, Latin-1, Windows-1252. Flag special characters (é, ñ, ü, 中文) that may break imports.

Email Validation

Check email syntax, detect typos (gmial→gmail), flag disposable addresses, find duplicates.

Date Formats

Detect 30+ date formats. Flag ambiguous dates (02/03/2023 = Feb 3 or Mar 2?). Suggest ISO 8601.

Empty Values

Find empty cells, whitespace-only values, null placeholders ("N/A", "NULL", "-").

Number Formats

Check for currency symbols, thousand separators, decimal formats. Flag non-numeric values in number columns.

Common CSV Validation Errors

Inconsistent Column Count

Error: "Row 47 has 8 columns, but header has 10 columns"

Cause: Missing commas, extra commas, or unescaped quotes. Fix: Use neatcsv's auto-repair or manually check row 47.

Encoding Issues

Error: "Malformed characters in rows 12, 34, 89 (é→é, ñ→ñ)"

Cause: File saved as Latin-1 but opened as UTF-8 (or vice versa). Fix: Re-save with correct encoding or use neatcsv's auto-fix.

Invalid Dates

Error: "Rows 5, 23, 67 contain invalid dates: '32/01/2023', '2023-13-45'"

Cause: Typos, impossible dates (month 13, day 32), mixed formats. Fix: Use date normalization to convert to ISO 8601.

Frequently Asked Questions

How do I validate a CSV file?

Upload your CSV file to neatcsv. The tool automatically checks: 1) File structure (rows, columns, delimiters), 2) Encoding (UTF-8, Latin-1, etc.), 3) Data quality (emails, dates, numbers), 4) Empty values and duplicates. You'll see a validation report with error locations.

What does CSV validation check?

CSV validation checks: File structure (consistent column count, proper delimiters), Encoding issues (special characters, UTF-8 vs Latin-1), Data types (valid emails, dates, numbers), Empty rows/cells, Duplicate rows, Header consistency.

Is there a free CSV validator?

Yes, neatcsv is free for files up to 10,000 rows (Starter plan, 9€/month). Unlike other validators that only check structure, neatcsv also validates data quality (emails, dates, numbers) and offers 14 cleaning tools to fix issues.

Can CSV validators detect encoding issues?

Yes. neatcsv auto-detects encoding (UTF-8, Latin-1, Windows-1252) and shows warnings for problematic characters. You'll see which rows have encoding issues and can fix them before importing to databases or Excel.

How do I fix CSV validation errors?

After validation, neatcsv shows errors with line numbers. Use the 14 built-in cleaning tools to fix issues: remove duplicates, validate emails, normalize dates, clean numbers, fix encoding, remove empty rows. Preview changes before downloading.

Do I need to install software to validate CSV files?

No. neatcsv is 100% browser-based. Upload your CSV file and validation happens instantly in your browser. No installation, no account required (for basic validation), files never leave your computer.

Ready to validate your CSV files?

Check structure, encoding, and data quality. Fix errors instantly. From 9€/month.

Start Validating Now