DATA REPAIR FIELD GUIDE

How to clean a messy CSV safely

How to clean a messy CSV safely. Practical steps, common causes and a matching browser-local DataCleaner tool.

Step-by-step approach

  1. Make an untouched copy of the source CSV before editing.
  2. Check whether its delimiter is a comma, tab or semicolon; a semicolon file should not be parsed as comma CSV.
  3. Use the CSV Cleaner to trim whitespace and eliminate truly empty rows.
  4. Review the before/after row counts and download a new CSV.
  5. Open the exported file in your target application to verify leading zeros and international characters.
Try the matching tool

Open CSV Cleaner to work on a local copy. Review the result before importing it elsewhere.

Open CSV Cleaner ↗

What this does not solve

Browser tools can validate known structures and transform available data, but cannot restore deleted or corrupted bytes, infer unknown business facts, or guarantee that a target system will import every field as intended.