Data Cleaner for CSV/Excel (Python script)

Turn a messy export into clean data in one command. Removes duplicates, trims spaces, fixes name casing, standardizes dates to YYYY-MM-DD, and converts currency text such as "$1,250.00", "€ 89,90" or "(45.00)" into real numbers. You also get a blanks report per column, a list of removed duplicates, and a log of values it could not parse, so nothing changes silently.

- CSV or XLSX in/out, auto encoding and delimiter detection, key-column dedupe

- README with examples and fictional sample data included; requires Python 3.8+ with pandas

Free Lite version: exact dedupe, trim and blanks count only.

Honest note: made with AI assistance and tested (Python script run on sample data). Keep a backup of your original data and review the parse-issues report.

Refund policy: refunds are given only if the file is defective (doesn't open or doesn't work as described) and we can't fix it — contact us via Payhip within 7 days.