CSV Row Filter

Filter CSV rows using conditions like equals, contains, greater than, regex, and download matching rows.

Tested tool guide Tested browser tools Checked August 16, 2026

What CSV Row Filter does, with a checked example

CSV Row Filter narrows a pasted CSV dataset to records that satisfy a comparison on a chosen column. Select an operator such as equals, contains, greater than, or regex, enter the comparison value, and inspect or download the matching rows. It answers selection questions, not aggregation questions: it can isolate orders above a threshold, but it does not calculate totals or averages. The important distinction is that contains looks for a literal piece of field text, while regex interprets the entry as a pattern.

Worked example

A concrete input and expected output from the current implementation.

Input

CSV:
item,quantity
bolts,8
nuts,12

Column: quantity
Condition: greater than
Value: 10

Expected output

item,quantity
nuts,12

The nuts row matches because 12 is greater than 10. The bolts row is excluded because 8 is not greater than 10.

How the result is produced

Choose the tested field

Paste the CSV, select the column to examine, choose a condition, and supply its comparison value or pattern. The condition is evaluated against that column for each data row. Rows that pass remain in the result, while rows that fail are omitted. The matching records retain their other fields, allowing the result to remain useful as row-oriented CSV data.

Select the right comparison

Use equals for a direct value match, contains for a literal fragment within a field, greater than for a threshold comparison, and regex for pattern-based matching. Review the matched subset before downloading it, especially when values contain spaces, punctuation, blank fields, or mixed formats. Those details can change whether a comparison expresses the question you intended.

Good uses

Extract inventory records whose quantity exceeds a chosen reorder threshold.
Keep contact rows whose department field contains a particular team name.
Select log records whose message field matches a structured regex pattern.

Limits and checks

Greater-than comparisons can be ambiguous when a column mixes plain numbers with currency symbols, thousands separators, blanks, or text.
Regex metacharacters are interpreted as pattern syntax, so punctuation such as a period may match more broadly than the same text used with contains.
A row filter returns matching records only. It does not group duplicates, calculate summaries, join files, or validate the meaning of the source data.

Common questions

Can this filter rows and calculate a total for them?

No. CSV Row Filter selects records according to the chosen column condition and makes the matching rows available for download. It does not sum, average, count by group, or otherwise aggregate the selected values. Download the filtered CSV and use a spreadsheet or data-analysis tool if the next step requires calculations.

Should I use contains or regex for a text search?

Use contains when the target is one literal fragment. Use regex when the match requires alternatives, character classes, repetition, or a position such as the start or end of a field. Regex punctuation is not necessarily literal, so escape metacharacters when needed and test the pattern against a few rows whose expected outcomes are already known.

References and verification

The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.