CSV Data Cleaner — Trim & Dedupe Tool
Paste or upload a CSV file to detect and fix common data quality issues. Remove empty rows, trim whitespace, normalize line endings, deduplicate records, and replace null values — with a table preview before downloading.
How to Use CSV Data Cleaner — Trim & Dedupe Tool
How to Use the CSV Data Cleaner
Step 1: Load Your CSV
Paste CSV text directly into the input field, or click Upload File to load a .csv or .txt file from your device. Click Load CSV to parse and preview the data.
Step 2: Review Issues
The tool automatically detects and reports:
- Errors — rows with inconsistent column counts, empty column headers
- Warnings — empty rows, duplicate rows, null/NA values
A table preview shows the first 50 rows with problematic rows highlighted in colour.
Step 3: Select Cleaning Options
Choose which operations to apply:
- Trim whitespace — removes leading/trailing spaces from all cells (on by default)
- Normalize line endings — standardises \r\n and \r to \n (on by default)
- Remove empty rows — deletes rows where all cells are blank (on by default)
- Remove duplicate rows — removes exact duplicate rows, keeping the first occurrence
- Replace null/NA values — replaces NULL, N/A, #N/A, none, na with empty string
Step 4: Clean and Download
Click Clean CSV to apply the selected operations. A cleaned preview shows the result with a row count comparison. Click Download to save cleaned.csv or Copy CSV to copy to clipboard.
Tips
- Load the example data (Sample data with issues) to see all features in action
- The row count shows how many rows were removed during cleaning
- Empty rows are highlighted in red in the preview; inconsistent-length rows in amber
- All processing is browser-only — safe for confidential or production data
Frequently Asked Questions
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