Clean Data
Trim, fix case, drop blanks, normalize
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About Clean Data
One-click cleaning for messy spreadsheets
Real-world CSVs are full of trailing spaces, mixed-case emails, currency symbols stuck to numbers, and dates in five different formats. Clean Data fixes all of that without writing a single formula.
What it can do
Apply to every cell:
- Trim leading/trailing whitespace
- Collapse multiple internal spaces into one
- Strip non-printable / control characters
Drop rows:
- Drop fully-empty rows
- Drop exact-duplicate rows
Per-column transforms (Toolenza guesses sensible defaults from the column name, so a column called email gets email-normalized, phone gets digits-only, signup_date gets ISO-formatted):
- Lowercase, UPPERCASE, Title Case
- Email normalize (trim + lowercase)
- Digits only (great for phones / IDs)
- Parse as number (strips
$,£,€, commas) - Parse loose date →
YYYY-MM-DD
How it compares
Functionally similar to OpenRefine, but no install, no Java, no project files — just drop and download.
Frequently asked questions
No. Everything is processed in your browser tab.
It assumes day-month-year for slash and dash formats (so 03/04/2024 → 2024-04-03). If your data is in US month-day order, run the column through the date parser only after standardizing format upstream.
No — that is what the Dedupe tool is for. Clean Data only removes exact-duplicate rows (every column matches).
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Clean Data
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