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Clean CSV File

Clean a CSV by trimming spaces, removing empty rows, and optionally deduplicating rows.

Accepted

CSV

Limit

1 file · up to 10 MB

Result

CSV → CSV

Handling

Auto cleanup after 1h

Usage

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Max file size: 10MB

Max files per run: 1

Supported formats: CSV

Upload exactly one CSV file, up to 10MB. It will be cleaned by trimming spaces, removing empty rows and deduplicating identical rows.

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PDF compression summary

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CSV processing summary

Input rows

Output rows

Output files

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How it works

1

Upload your CSV file

Select the CSV that needs cleaning. Works with exports from any database, CRM, spreadsheet tool, or scraper.

2

Whitespace is trimmed from every cell

Leading and trailing spaces are removed from every cell value in every row. This prevents join failures and formatting issues on import.

3

Empty rows and duplicates are removed

Rows where all cells are empty or whitespace-only are dropped. Then rows identical across all columns are deduplicated, keeping the first occurrence.

4

Download the cleaned CSV

Download a clean, normalised CSV with the original column structure preserved and all cleaning operations applied.

🔗 Related tools 4 related tools

About Clean CSV File

CSV files exported from databases, CRMs, or spreadsheets often carry quality issues that cause import failures and silent data errors: extra spaces around values that break exact-match joins, empty rows inserted by a delete operation that appear as blank records, and duplicate rows from overlapping exports that inflate row counts. Fixing these issues manually in a spreadsheet is slow and unreliable for files with tens of thousands of rows. This CSV Cleaner automatically trims leading and trailing whitespace from ev...

→ Clean a CRM export before re-importing it to remove empty rows left by deleted contacts. → Deduplicate a merged CSV file after combining exports from two systems with overlapping records. → Trim whitespace from a legacy system export where column values have trailing spaces. → Prepare scraped data for analysis by removing blank rows and accidental repeated header rows.

Related guides and workflows

📦 Supported formats 1 file types

CSV

❓ Frequently asked questions 4 answers

Three operations are applied: (1) leading and trailing whitespace is trimmed from every cell value, (2) rows where all cells are empty or whitespace-only are removed, and (3) rows with identical values in every column are deduplicated, keeping the first occurrence.

No. Only leading and trailing whitespace is removed from cell values. All other characters, the column structure, and the header row are preserved exactly.

When two or more rows have identical values in every column, the first occurrence is kept and subsequent duplicates are removed. Row order in the output follows the original file.

Currently deduplication compares all columns. Column-specific deduplication — for example, removing rows with a duplicate email address regardless of other fields — is not yet available.