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How to clean Excel data

Excel is where business data gets edited, merged, and re-exported — usually accumulating small errors along the way. This guide covers the highest-impact cleanup steps.

Use the Excel cleaner tool

Audit column types

Dates stored as text, numbers with currency symbols, and IDs with leading zeros lost to formatting are frequent import blockers.

Normalize text fields

Trim spaces and fix inconsistent capitalization on names and company fields before matching or deduplication.

Handle dates in one format

Pick ISO (YYYY-MM-DD) or your locale standard and convert mixed columns consistently.

Run duplicate checks last

After normalization, duplicate detection is more accurate and removes fewer false negatives.

Ready to clean your file?

Upload to the Excel cleaner — analysis is free.

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