CSV Cleaner: Remove Duplicates, Empty Rows & Clean Data | Free

A This tool doesn't delete columns directly — it focuses on row-level cleaning. But you can work around it. Open your CSV in any spreadsheet app, delete the unwanted columns, save the file, then upload here for trimming and deduplication. Takes about 30 seconds. Alternatively, use a command-line tool like `cut` if you're comfortable with that.

A Check your whitespace settings. The tool trims leading and trailing spaces by default, but it won't touch spaces between words inside a cell. For example, 'John Doe' with two spaces stays as-is. To fix that, you'd need a find-and-replace step in a spreadsheet before uploading. About 90% of spacing issues are invisible characters like non-breaking spaces — those need manual removal.

A No, it only strips spaces at the very start or end of each cell. For example, ' Chicago ' becomes 'Chicago'. But 'San Francisco' won't change. If you need to clean up extra spaces between words, that's a find-and-replace job. A quick spreadsheet formula like =TRIM() handles that well before you upload.

A No, it won't. This cleaner only handles empty rows, duplicates, and whitespace. It doesn't recognize or transform specific data types like emails or phone numbers. For masking customer info in test datasets, you'll need a dedicated data masking tool or a quick spreadsheet find-and-replace. I'd recommend generating synthetic data separately before running it through this cleaner.

A You can't see duplicates just by glancing at the file, especially with large datasets. This tool highlights how many duplicates it finds after you upload, but you can also spot-check by sorting in Excel or Google Sheets first. A quick way: use a pivot table to count repeated values in your key column. Most duplicate issues come from row repetition rather than partial matches, so focus on full-row checks first.

A Great question. The tool compares every cell across the entire row, not just the visible columns. So two rows are only considered duplicates if all values in all columns match exactly. Hidden columns, or columns with invisible characters, are still part of that comparison. The one gap: if a cell contains non-breaking spaces instead of regular ones, the tool might flag it as different. Trim whitespace first, then run deduplication. You'll see a count of exact duplicate rows before you confirm removal.

A No, the first row is always preserved as your header. This tool detects it automatically and never treats it as data to trim or deduplicate. But if your file has no headers, you're fine too — the tool still keeps that first row intact. The only exception: if your entire first row is blank, it'll be removed like any other empty row. So keep at least one column name in that row if you want it saved.

A Nope, quoted multi-line cells stay intact. If a cell looks like "Notes: first line second line" wrapped in double quotes, the cleaner treats it as one value and won't split it into two rows. What can trip you up: unquoted line breaks mid-cell, which most CSV parsers read as a new row anyway. Open the file in Excel first and check row counts before and after. If the count matches, your line breaks survived fine.

A Your private data never leaves your computer. This tool runs entirely inside your browser using client-side JavaScript. Processing happens locally, meaning zero files are uploaded to any external server. You can safely clean confidential customer lists without risking data breaches or compliance fines under GDPR.

A Direct API pushes aren't built into this browser utility. Once you download the freshly processed file, you can easily import it into platforms like Salesforce or HubSpot. Most modern CRMs accept standard CSV uploads in under 2 minutes. Drag the saved document straight into your software's import wizard.