Find CSV data quality problems before they spread.
Profile a CSV, identify inconsistent values and duplicates, then test focused cleanup rules against a live preview. The tool shows the evidence and leaves the final decision with you.
Measure before you modify
Filled, empty, unique and repeated value counts provide a baseline for each column. Value-length ranges can also reveal truncated identifiers or unexpected formatting.
Standardise predictable differences
Whitespace, case and empty-value rules address common inconsistencies. Apply them only to the columns you select, then compare the updated profile with the original condition.
Separate duplicates from possible matches
Exact-row and selected-key rules are deterministic. Fuzzy similarity is shown only as a review aid, so a weak match can never silently remove a business record.
Keep a clear review trail
The ordered plan records how the preview was produced. You can undo or reset it, and export always creates a separate cleaned file rather than changing the source.