Clean CSV for Google Sheets

Google Sheets imports many CSV files well, but messy exports can still create cleanup work. Marketplace reports, payment exports, inventory files, and CRM downloads often contain blank rows, inconsistent headers, mixed delimiters, and values that should be treated as text.

Before importing into Google Sheets

• Remove fully blank rows so filters and formulas apply to the real data range.
• Remove empty columns so import mapping is easier.
• Normalize headers before using formulas, pivot tables, or connected tools.
• Normalize dates to YYYY-MM-DD when possible.
• Normalize money values so totals are easier to calculate.
• Use formula-safe export when a file came from an unknown or user-submitted source.

CSV, TSV, and delimiter issues

Some exports are not comma-separated even when users call them CSV. European spreadsheet exports often use semicolons. Database tools may use tabs or pipes. Universal CSV Cleaner detects comma, semicolon, tab, and pipe-delimited text, then exports a standard CSV.

Private cleanup workflow

1. Open the CSV cleaner.
2. Paste your export or choose a local file.
3. Review the detected delimiter in the status message.
4. Check the preview table and row counts.
5. Export the cleaned CSV and import it into Google Sheets.

The cleaner runs in your browser during normal use. It is meant as a private preparation step before the final Google Sheets import.

After import, compare the first few rows and totals with the original export. This catches wrong delimiters, date assumptions, and source files that were already incomplete before cleanup.