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CSV Cleaner

Last updated: April 2026

Clean CSV, TSV, and delimited files by trimming whitespace, removing duplicate rows, and fixing delimiters before you export a cleaner sheet or import file.

Best for messy exports: Upload a CSV, TSV, or TXT file to trim spaces, remove duplicate rows, and rewrite it with a consistent delimiter.
1

Upload your file

Drop your CSV, TSV, or TXT file here or click to browse
Maximum file size: 25MB
No file selected
2

Choose cleanup settings

3

Clean the file

Please upload a CSV, TSV, or TXT file first.

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CSV files exported from databases, CRM systems, e-commerce platforms, and accounting software often contain small formatting issues that cause problems when importing into other tools - extra spaces around values, inconsistent delimiters, duplicate rows from export overlap, or trailing blank lines that create empty records in the destination system.

This tool cleans the most common structural issues: trimming leading and trailing whitespace from all cells, removing fully duplicate rows, normalizing the delimiter to your chosen character (comma, tab, semicolon, or pipe), and collapsing extra blank lines. The result is a structurally clean CSV that imports reliably into Excel, Google Sheets, database import tools, and CRM upload wizards.

This is especially useful for data that passes through multiple people or systems before import - exports that get opened and resaved in Excel pick up encoding changes, exports from legacy systems often have inconsistent quoting, and manual additions to CSV files frequently introduce whitespace or duplicate entries.

TSV files (tab-separated) are accepted in addition to standard CSV. If your file uses a semicolon or pipe as the delimiter, select the matching option before uploading. The output delimiter can be different from the input - this lets you normalize a semicolon-delimited European export into a standard comma CSV in one step.

What to Expect

Clean messy CSV or TSV exports by trimming whitespace, removing duplicate rows, and normalizing delimiters before import or analysis.

Browse Data Cleanup Tools

Best for

  • Cleaning CRM or database exports before importing into another system.
  • Removing duplicate rows from a combined export of overlapping date ranges.
  • Normalizing delimiter style before processing a file programmatically.
  • Fixing whitespace issues in CSV data before feeding it into a mail merge.
  • Preparing contact lists, product catalogues, or financial records for import.

Not ideal for

  • Deep ETL pipelines, database joins, or schema-heavy data engineering jobs.
  • Nested source files that need custom mapping or transformation logic.
  • Highly sensitive data that should stay inside internal enterprise systems only.

What this tool keeps

  • Useful rows, fields, and visible text needed for reporting or imports.
  • Common delimited or structured formats that open in spreadsheets and editors.
  • Simple settings that focus on cleanup rather than heavy transformation.

What may need cleanup

  • Nested records may still need column renaming or spreadsheet cleanup afterward.
  • Source files with inconsistent structure can create sparse columns.
  • Delimiter and encoding issues may need one extra check before import.

Common errors

  • Uploading the wrong delimiter type or an unsupported source file.
  • Expecting deeply nested data to map perfectly without cleanup.
  • Using malformed XML or JSON that needs validation first.

Example use cases

  • Preparing exports for finance, ops, stock lists, or admin reporting.
  • Cleaning text files before summaries or spreadsheet imports.
  • Flattening XML feeds into rows that are easier to work with.

Sample input

A CSV export, XML feed, JSON file, log file, or messy text list.

Sample output

Cleaner rows, flatter columns, or a simpler spreadsheet-friendly export.

Who this is for

  • Admins, analysts, ecommerce teams, support teams, and spreadsheet-heavy roles.

Related guides

CSV Cleaner FAQ and Quick Checklist

Frequently Asked Questions

What does the CSV cleaner do?

It trims leading and trailing whitespace, removes full-row duplicates, and rewrites the file using a clean output delimiter.

Which file types can I upload?

You can upload CSV, TSV, or TXT files that use common delimiters such as comma, semicolon, tab, or pipe.

Can it detect the delimiter automatically?

Yes. Auto mode tries to detect the incoming delimiter, or you can force comma, semicolon, tab, or pipe yourself.

How are duplicates removed?

The current version removes exact duplicate rows after any trimming step is applied. If the first row is treated as a header, that row is preserved separately.

Can I convert a semicolon or tab file into standard CSV?

Yes. Choose the output delimiter you want and the cleaner rewrites the file with consistent separators.

Will it keep quoted values intact?

Yes. It uses Python's CSV parser and writer, so quoted fields and escaped separators are handled more safely than manual text replacement.

Are cleaned CSV files stored after download?

No. Files are processed temporarily to generate your output, then deleted automatically. Tiny File Tools does not require signup for these tools.