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Excel Data Cleaner

Clean Excel data - Remove empty rows, duplicates, whitespace, and standardize text formatting in Excel files

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How to Use Excel Data Cleaner

How to Use the Excel Data Cleaner

Step-by-Step Guide

  1. Upload Excel File: Click the upload area or drag and drop your Excel file
  2. Load File: Click "Load Excel File" to process the spreadsheet
  3. Select Cleaning Options: Choose which cleaning operations to apply
  4. Set Output Name: Enter a name for the cleaned file
  5. Clean & Download: Click "Clean & Download" to get your cleaned Excel file

Cleaning Options

Structure Cleaning

Remove Empty Rows

  • Removes rows where all cells are empty
  • Helps reduce file size and improve readability
  • Only removes completely empty rows

Remove Empty Columns

  • Removes columns where all cells are empty
  • Cleans up unused columns
  • Only removes completely empty columns

Remove Duplicate Rows

  • Identifies and removes duplicate rows
  • Keeps the first occurrence of each unique row
  • Compares entire row content for duplicates

Text Cleaning

Trim Whitespace

  • Removes leading and trailing spaces from text
  • Cleans up accidental spacing issues
  • Does not affect spaces between words

Remove Special Characters

  • Removes all special characters from text
  • Keeps only letters, numbers, and spaces
  • Useful for standardizing data formats

Convert to UPPERCASE

  • Converts all text to uppercase letters
  • Useful for standardizing names or codes
  • Mutually exclusive with lowercase option

Convert to lowercase

  • Converts all text to lowercase letters
  • Useful for email addresses or usernames
  • Mutually exclusive with uppercase option

Common Use Cases

Data Import Preparation

  • Clean data before importing to databases
  • Remove formatting inconsistencies
  • Standardize text for matching
  • Eliminate duplicate entries

Report Cleanup

  • Remove empty rows from exported reports
  • Clean up whitespace issues
  • Standardize text formatting
  • Reduce file size by removing empty data

Data Analysis

  • Prepare datasets for analysis
  • Remove duplicate observations
  • Standardize text fields
  • Clean imported data

Database Migration

  • Clean legacy data before migration
  • Remove empty records
  • Standardize text formatting
  • Eliminate duplicates

Spreadsheet Maintenance

  • Clean up old spreadsheets
  • Remove accumulated empty rows/columns
  • Standardize formatting
  • Improve file organization

How Cleaning Works

Processing Order

  1. Structure cleaning (empty rows, columns, duplicates)
  2. Text cleaning (whitespace, special chars)
  3. Text transformation (uppercase/lowercase)

All Sheets Processed

  • All sheets in the workbook are cleaned
  • Same cleaning options applied to all sheets
  • Original sheet names preserved
  • Sheet order maintained

Data Preservation

  • Only selected cleaning operations are applied
  • Original file is never modified
  • Numbers and dates are preserved
  • Cell formatting is maintained where possible

Duplicate Detection

  • Compares entire row content
  • First occurrence is kept
  • Subsequent duplicates removed
  • Case-sensitive comparison

Tips for Best Results

  1. Preview Before Cleaning: Review your options before downloading
  2. Start Conservative: Begin with basic options (empty rows, whitespace)
  3. Check Duplicates Carefully: Ensure you want to remove exact duplicates
  4. Backup Original: Keep a copy of the original file
  5. Test Case Conversion: Use uppercase/lowercase carefully as it affects all text
  6. Special Characters: Be cautious as it removes ALL special characters
  7. Review Selected Options: Check the info box to see what will be applied

Understanding Each Option

Empty Rows vs Blank Cells

  • Empty rows: ALL cells in the row are empty
  • Rows with some blank cells are kept
  • Use for removing extra rows at the end

Empty Columns

  • Removes columns with NO data at all
  • Columns with headers only are NOT removed (header counts as data)
  • Use for cleaning up unused column space

Duplicates

  • Exact match of all cell values in the row
  • Order of columns matters
  • Case-sensitive for text
  • Use when you have completely identical rows

Whitespace

  • Only removes spaces at start and end of text
  • Does not remove spaces between words
  • Does not affect empty cells
  • Safe to use on most data

Special Characters

  • Removes: @#$%^&*()[]{}|<>?/~`
  • Keeps: Letters, numbers, spaces
  • Be careful with data containing: emails, URLs, formulas
  • May affect formatted data

Case Conversion

  • Affects ALL text in all cells
  • Cannot select both uppercase and lowercase
  • Does not affect numbers or dates
  • Irreversible in the output file

File Processing

Input Format

  • Supports: .xlsx, .xls, .xlsm
  • Maximum file size: 50MB
  • Multiple sheets supported

Output Format

  • Always outputs .xlsx format
  • All sheets included
  • Original structure maintained
  • Only selected cleanings applied

Performance

  • Small files (< 1MB): Instant
  • Medium files (1-10MB): Few seconds
  • Large files (10-50MB): May take 10-30 seconds
  • Processing time varies by browser and device

Troubleshooting

File Not Loading?

  • Check file format (.xlsx, .xls, .xlsm only)
  • Verify file size is under 50MB
  • Ensure file is not password-protected
  • Try re-uploading the file

Too Much Data Removed?

  • Review selected options carefully
  • Deselect aggressive options (duplicates, special chars)
  • Test with conservative options first
  • Keep backup of original file

Text Looks Wrong?

  • Check if uppercase/lowercase was accidentally selected
  • Special character removal may affect some data
  • Review cleaning options before processing
  • Use options selectively

Processing Taking Too Long?

  • Large files take more time
  • Multiple cleaning options increase processing time
  • Browser performance varies
  • Wait for completion or try smaller file

Frequently Asked Questions

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