AI Data Cleaner

Standardise messy real-world columns automatically.

Company names spelled six ways, addresses in four formats, job titles with no convention. The AI cleaner proposes a canonical form for each cluster of values, shows you the mapping, and applies only the changes you approve.

Price
Free account
Your files
Never uploaded
Runs
In your browser

or drag it here

.xlsx, .xls, .csv · up to 50 MB · processed locally, never uploaded

Excel and spreadsheet files only. Export from Google Sheets as .xlsx or .csv.

Files stay on your device

What it does well

  • Fuzzy clustering that groups variants before the AI names each cluster
  • Every change reviewable and reversible — nothing is applied silently
  • Mapping exported so the same rules can be reapplied next month

How to use AI Data Cleaner

  1. 1

    Upload your file and select the messy columns.

  2. 2

    Let the cleaner cluster similar values.

  3. 3

    Review the proposed canonical value for each cluster.

  4. 4

    Apply the approved mappings and download.

Watch a walkthrough

How to use AI Data Cleaner

2 min 18 s · captions included

Watch on YouTube

Common problems and fixes

Two genuinely different companies were clustered together.

Split the cluster in the review panel and raise the similarity threshold before re-running.

Clustering is slow on a large column.

Deduplicate distinct values first — clustering runs on unique values, so a column with few distinct entries is fast regardless of row count.

Frequently asked questions

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