Batch Clean
Clean Excel data — remove empty rows, trim spaces, and strip empty columns
Upload File to Clean
Supports .xlsx, .xls formats
Supported: .xlsx, .xls
Batch Clean
Clean Excel data — remove empty rows, trim spaces, and strip empty columns
- Supported: .xlsx, .xls
- Local processing with privacy by design
- Millions of rows, instant
- Keep formulas & formats
Common use cases
One column of dirty data can corrupt an entire table — clean it before it spreads
Clean exported bank statements
Bank exports often contain empty header rows, trailing summary rows, and stray whitespace — clean them in one pass before reconciliation.
Tidy CRM data dumps
Sales-system exports tend to have empty columns and inconsistent whitespace. Clean once, then import into your analytics tool with confidence.
Standardize employee records
Whitespace in names, line breaks in addresses — these break joins and lookups. The cleaner normalizes them automatically.
Best practices
Inspect before cleaning
Open the file once to confirm what you want removed. Some "empty" rows are intentional section breaks that you may want to keep.
Data security
All cleaning happens in your browser using SheetJS — no upload, no server-side processing.
Performance
For files with hundreds of empty columns, "Remove empty columns" is the highest-impact rule. Run it first.
Verify the result
The download summary reports how many rows/columns were removed and how many cells were trimmed — sanity-check those numbers.
Frequently Asked Questions
What cleaning operations are available?
Remove fully-empty rows, trim leading/trailing whitespace in every cell, remove fully-empty columns, and normalize in-cell line breaks to spaces.
Can I run multiple operations at once?
Yes. Tick any combination of rules — they are applied in a single pass over the data.
Will the original file be modified?
Never. The cleaned result is downloaded as a new file; your uploaded file is read in the browser and never written back.
Does it work on .csv files?
The current cleaner targets .xlsx and .xls. For .csv input, convert to .xlsx first using the Format Converter tool, then clean.