CSV Row Filter
Options
What is a CSV Row Filter?
A CSV Row Filter helps you keep only the rows that match a condition from a CSV file or pasted CSV text.
This is useful for extracting active users, finding empty fields, filtering exports, cleaning lists, and narrowing down datasets.
How to use the CSV Row Filter
- Paste your CSV into the input field.
- Choose the delimiter or use auto detect.
- Pick a filter mode such as contains, exact match, empty, or not empty.
- Optionally specify a column name or index, then click Filter rows.
Tips
- If you leave column name and index empty, filtering works across the whole row.
- Filter columns are zero-based: the first column is 0, the second is 1.
- Use exact match when you only want fully matching values.
- Use empty and not empty modes to inspect missing data quickly.
Related guides
Learn the workflow behind this tool and what to check next.
CSV filtering checks before creating a smaller dataset
Define the matching rule precisely and verify the retained rows before using a filtered file for reporting, migration, or deletion.
Target column
Select the column by its actual header and confirm duplicate or blank header names are not shifting the intended match.
Match behavior
Decide whether matching is exact, partial, case-sensitive, numeric, or date-based and test representative edge cases.
Missing values
Handle empty fields, whitespace-only values, malformed rows, and absent columns explicitly instead of silently dropping them.
Count reconciliation
Compare source, matched, and excluded row counts and keep the original file until the filtered output is verified.
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