CSV Cleaner

Clean CSV data by trimming spaces, fixing rows, and removing duplicates.

CSV cleanupExcel and Google Sheets friendlyLocal text processingExcel and Sheets friendly

Upload a CSV, TSV, or TXT file

Drop a file here, or choose a file. The delimiter is detected automatically.

Accepted: .csv, .tsv, .txt

Paste CSV, TSV, pipe-delimited, or semicolon-separated text. Processing happens locally in your browser.

Review warnings before importing cleaned CSV into a spreadsheet, database, CRM, or no-code tool.

Choose what happens to rows whose column count does not match the header. Values are never shifted between columns or guessed.

This result needs review before you rely on it and is not a fully consistent table. Downloading keeps the exact row structure, so a spreadsheet app may show extra or missing cells. Choose “Exclude malformed rows” for a clean, equal-width grid.
Review required2 malformed rows detected against 4 expected columns.

Total input rows

7

Parsed rows before cleanup.

Header columns

4

Expected columns per row.

Valid rows

4

Data rows matching the header width.

Malformed rows

2

Rows with a different column count.

Duplicates removed

1

Later identical rows removed.

Empty rows removed

1

Blank rows removed.

Output rows

6

Rows in the cleaned output.

Output columns

5

Mixed — malformed rows preserved.

Input delimiter

Comma

Detected or selected.

Output delimiter

Comma

Used when serializing.

2 malformed rows detected

  • Row 6

    Expected 4 cells, found 3. Missing 1 trailing cell

  • Row 7

    Expected 4 cells, found 5. Extra value: EXTRA

Validation notes

  • • 2 malformed rows detected: keep and flag policy applied.
  • • 2 malformed rows remain in the output, so the table is not a fully consistent grid. Review before importing.

Local processing

CSV cleanup runs in your browser. Files are read locally and never sent to a server.

Import friendly

Normalize delimiters, row structure, and quotes before imports.

Spreadsheet ready

Prepare text for Excel, Google Sheets, CRMs, and CSV-to-JSON tools.

Dynamic Cleanup Insights

The input appears to use comma as the delimiter, and the output stays comma-delimited.
Trim whitespace cleaned 10 cells.
1 duplicate row was removed.
2 malformed rows detected against 4 expected columns. Values are never shifted between columns.
Malformed rows are preserved and flagged, so the result is not yet a fully valid table. Review before importing.

How CSV Cleaning Works

CSV cleaning prepares raw comma-separated or delimiter-separated data for spreadsheets and imports.

Cleaning can remove extra spaces, blank rows, duplicate records, and inconsistent line endings.

Delimiter conversion can make CSV easier to paste into Excel, Google Sheets, databases, or import tools.

Quoted fields protect values that contain commas, quotes, or line breaks.

Common CSV Problems Explained

Extra spaces around values can break matching and imports.
Blank rows may create empty records.
Duplicate records can inflate counts or create import conflicts.
Uneven row lengths often mean missing values or extra delimiters.
Malformed quotes can cause columns to shift.

Delimiters, Quotes, and Headers Explained

Comma

The most common CSV delimiter.

Semicolon

Common in some regional spreadsheet exports.

Tab

Often used for TSV data.

Pipe

Common in some system exports.

Quoted fields

Allow delimiters, quotes, or line breaks inside values.

Headers

Describe column names and make imports easier to map.

Spreadsheet and Database Import Use Cases

Cleaning Excel exports
Cleaning Google Sheets data
Preparing CRM imports
Preparing ecommerce product imports
Cleaning analytics exports
Preparing database seed data
Normalizing CSV for no-code tools
Fixing pasted spreadsheet rows
Preparing data for CSV to JSON conversion

Common Cleanup Examples

Trim spaces

Before: name , email → After: name,email

Remove blank lines

Delete empty rows from pasted spreadsheet text.

Convert delimiters

Convert semicolon-separated CSV into comma-separated CSV.

Preserve quoted names

"Smith, John" stays in one cell.

Remove duplicates

Keep the first exported row and remove repeated rows.

Normalize line endings

Convert mixed CRLF, CR, and LF endings into consistent output.

Privacy and Local Processing Notes

Pasted CSV is processed locally in your browser.

No account is required, and this tool does not add backend storage.

Avoid pasting sensitive production data unless necessary.

This tool is intended for lightweight cleanup, formatting, and import preparation.

Method Explanation

  1. 1Read the pasted CSV text.
  2. 2Detect or use the selected delimiter.
  3. 3Parse rows while preserving quoted fields.
  4. 4Trim whitespace if enabled.
  5. 5Remove empty rows or columns if enabled.
  6. 6Remove duplicate rows if enabled.
  7. 7Normalize delimiters and line endings.
  8. 8Quote and escape values when needed.
  9. 9Output clean, copy-ready CSV.

Frequently Asked Questions

A CSV cleaner is a utility that prepares messy comma-separated or delimiter-separated text for spreadsheets, imports, databases, or data tools by trimming values, removing blank rows, normalizing delimiters, and fixing common formatting problems.

Learn the formula, assumptions, examples, or context behind this tool.