Find and flag duplicate rows in your data
Duplicates inflate counts and skew reports, but exact-match filters miss the near-duplicates. Flag likely duplicate rows in pasted data so you can review before merging.
Duplicates are rarely exact. The same customer appears as “Acme Inc” and “Acme Inc.”, the same contact with two slightly different phone formats. A plain remove-duplicates filter only catches identical rows and leaves the messy near-matches that actually distort your numbers.
This tool flags likely duplicate rows in pasted data, including the near-matches that exact filters miss, by looking past trivial formatting differences. It surfaces them for review rather than deleting anything, so you keep control over what counts as the same record.
You make the merge decisions; the tool just makes sure the candidates are in front of you. That avoids both the inflated counts of unspotted duplicates and the data loss of an over-aggressive automatic dedupe.
The tool for this
🧹Messy Data Cleanup
Clean pasted data — standardize formats, fix typos, flag duplicates — values untouched.
Frequently asked questions
How do I find duplicate rows that are not exact matches? +
The tool flags likely duplicates by looking past trivial formatting differences — like “Acme Inc” vs “Acme Inc.” — that exact-match filters miss.
Does it delete duplicates for me? +
No — it flags candidates for review so you decide what counts as the same record, avoiding accidental data loss.
Why do duplicates matter? +
They inflate counts and skew reports. Catching near-duplicates, not just exact ones, keeps your totals accurate.
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