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.
- Rating
- 4.8(1.1K)
- Monthly uses
- 134K
- Price
- Free account
or drag it here
.xlsx, .xls, .csv · processed locally, never uploaded
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
Upload your file and select the messy columns.
- 2
Let the cleaner cluster similar values.
- 3
Review the proposed canonical value for each cluster.
- 4
Apply the approved mappings and download.
Watch a walkthrough
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
What people say
Small thing, but the error messages actually tell you what to fix. AI Data Cleaner flagged a hidden character that had been breaking my lookups for weeks.
Exactly what I needed. AI Data Cleaner used to be a twenty-minute job with a macro I did not trust; now it takes one drag and one click.
Small thing, but the error messages actually tell you what to fix. AI Data Cleaner flagged a hidden character that had been breaking my lookups for weeks.
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