Check your CSV for syntax errors, missing values, and type inconsistencies — runs in your browser
or click to browse · Processed locally
CSV validation is the process of checking a spreadsheet for problems before it is imported, processed, or shared. A bad CSV can break a database import, cause silent data loss, or produce wrong analytics. A validator catches the issues early — malformed rows, mismatched column counts, missing values, type inconsistencies, and duplicate entries — so you can fix them before they cause damage downstream.
Common use cases: auditing an export before sending it to a client, checking a dataset before bulk-importing into a database, debugging a CSV that fails to load somewhere, validating user-submitted CSVs in a workflow, or making sure column types are consistent before running analytics.
1. Drop or browse your CSV file
2. Read the summary — rows, columns, errors, warnings
3. Check the column overview for detected types and issues
4. Review specific issues in the issues panel
5. Fix the source CSV and re-validate
✅ Free — no signup, no limits
✅ 100% private — file never leaves your browser
✅ Detects parse errors, structural issues, and type mismatches
✅ Per-column statistics and type detection
✅ Clear, actionable error messages with row numbers
✅ Fast — even on large files
Parse errors, inconsistent column counts, empty values per column, duplicate rows, and detected column types with mismatch warnings.
No. CSV Validator runs entirely in your browser. The file never leaves your device.
Parse errors, rows with the wrong column count, empty rows, duplicate rows, high empty rates, and values that do not match the detected column type.
This tool only validates and reports. To clean a CSV, use our CSV Cleaner tool.
Because validation runs locally, file size is limited only by your device memory.
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