If you've ever worked with data from multiple sources, you know the pain of messy CSV files:
- Duplicate rows that mess up your reports
- Empty cells that break your imports
- Date formats all over the place (2025-01-04, 01/04/2025, January 4...)
- Hidden whitespace that causes silent matching failures
I got tired of writing one-off scripts every time, so I built CleanCSV AI - a tool that diagnoses and fixes these issues automatically.
How It Works
- Upload your messy CSV/Excel file
- Review the diagnostic report (duplicates, blanks, date drift, etc.)
- Choose which fixes to apply
- Download the cleaned file with a full change log
What It Catches
- ✅ Duplicate rows
- ✅ Empty/missing values
- ✅ Inconsistent date formats
- ✅ Leading/trailing whitespace
- ✅ Mixed data types in columns
- ✅ Outlier values
The Stack
Built with Next.js 14, deployed on a VPS. The core cleanup logic is deterministic (no AI guessing for simple fixes), which means results are repeatable.
Try It
Free tier available - files up to 1MB, 5 analyses per day.
What's your go-to method for cleaning messy data? Would love to hear about edge cases I should handle!
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