CSV Cleaner
How to use
Cleans up messy CSV data by trimming whitespace from every cell, removing fully empty rows, and normalizing line endings, pick which fixes to apply and download the cleaned file.
Step 1 of 3: Upload
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Step 1 of 3 · Upload
- 1Upload
- 2Clean
- 3Download
CSV / TSV input
- Prepping a raw data export from a third-party tool before importing it into a database
- Fixing files that mix Windows and Unix line endings after being edited on different operating systems
- Removing blank rows left behind by a spreadsheet export before further processing
- Standardizing whitespace in a CSV before running it through a stricter downstream parser
Free and private. Everything runs on your own device, with no account and no uploads.
This tool automatically tidies up messy CSV data by trimming stray whitespace from every cell, removing completely empty rows, and normalizing inconsistent line endings between Windows and Unix formats. It is a fast way to prep a raw data export before importing it into another system or spreadsheet. All cleaning options run locally in your browser, and you can toggle each fix on or off before downloading the result.
It trims leading/trailing whitespace in cells, removes rows that are entirely empty, and normalizes line endings between \r\n and \n.
It normalizes line endings and whitespace; if a file has corrupted character encoding, you may need to re-export it with the correct encoding first.
Yes, each cleaning option, trimming, empty row removal, and line-ending normalization, has its own toggle.
Yes, you can switch the delimiter to tab, pipe, or semicolon before cleaning.
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Upload or paste your CSV data
Load the file or text you want to clean.
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Choose your cleaning options
Toggle whitespace trimming, empty row removal, and line-ending normalization.
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Preview the cleaned table
Check the resulting table and see how many empty rows were removed.
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Download the cleaned CSV
Save the sanitized file to your device.
- ·Toggle off fixes you don't need, for example, skip line-ending normalization if your pipeline already handles it.
- ·If cells still look garbled after cleaning, the issue is likely character encoding, which this tool doesn't rewrite.
- ·Run the cleaner before deduplication so trailing whitespace doesn't cause near-identical rows to be treated as distinct.