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Loading, please wait…Modify and filter your data with powerful client-side transforms.
Upload a CSV file to start transforming.
Transform & Filter is a lightweight CSV filter for quick column edits and row filtering. Pick one column and apply UPPERCASE, lowercase, Title Case, Trim Whitespace, or Trim & UPPERCASE, or filter rows with a case-insensitive search that keeps any row containing the value in any cell.
Useful for quick normalization jobs — for example, uppercasing a status column — and for narrowing a file to the rows you actually need before profiling or charting.
customer,status,total
Alice,paid,120
Bob,pending,80
Cara,PAID,45
filter: paid → Alice + Cara (case-insensitive)Use this after an initial clean for targeted fixes, then verify quality or build a chart from the filtered result. CSV Cleaner, Data Profiler, Visualizer.
Load the file in Datio's Transform & Filter, type the value, and choose Filter. Matching is a case-insensitive substring search across every cell, so “berlin” keeps any row containing Berlin in any column. Export the filtered rows as CSV.
Select the column, choose UPPERCASE (or Trim & UPPERCASE to also strip padding), and choose Apply Transform. Lowercase, Title Case, and Trim Whitespace work the same way — one column at a time, previewed before export.
No — filtering is a simple contains-match on text, not numeric ranges, regex, or multi-condition queries. For whole-file fixes like deduplication and blank-row removal, use the CSV Cleaner instead.
Transform & Filter edits one selected column and narrows rows by search value. The CSV Cleaner fixes the whole file at once: exact-duplicate removal, blank-row removal, all-cell trimming, and casing — with diagnostic counts. Use the Cleaner for file-wide cleanup and this tool for targeted tweaks. CSV Cleaner →
One column transform at a time, and filtering is a simple contains-match — not numeric ranges, regex, or multi-condition queries. For whole-file deduplication and blank-row removal, use the CSV Cleaner.