What This Tool Does

This tool filters CSV rows based on conditions you define. Select a column, choose an operator (equals, contains, greater than, etc.), and specify the value to match. Add multiple conditions with AND/OR logic to create complex filters. Only rows matching all conditions are included in the output.

Filter Operators

Text operators:

• Equals — Exact match (case-sensitive or insensitive)
• Contains — Value appears anywhere in the cell
• Starts with — Value at the beginning
• Ends with — Value at the end
• Regex — Pattern matching with regular expressions

Numeric operators:

• Greater than (>)
• Less than (<)
• Greater than or equal (>=)
• Less than or equal (<=)

Empty checks:

• Is empty — Cell is blank or null
• Is not empty — Cell has any value

Logic: Combine multiple conditions with AND (all must match) or OR (any can match).

Example: Filter by Status

Input CSV:

id,name,status,amount
1,Alice,active,100
2,Bob,inactive,50
3,Charlie,active,200
4,Diana,pending,75

Filter: status equals "active"

Output CSV:

id,name,status,amount
1,Alice,active,100
3,Charlie,active,200

Example: Filter by Numeric Range

Filter: amount >= 100 AND amount <= 200

Output CSV:

id,name,status,amount
1,Alice,active,100
3,Charlie,active,200

Example: Filter with Regex

Input CSV:

email,department
[email protected],Engineering
[email protected],Marketing
[email protected],Engineering

Filter: email matches regex ".*@example\.com"

Output CSV:

email,department
[email protected],Engineering
[email protected],Engineering

When to Use This

Data subsetting: Extract only rows matching specific criteria for analysis or reporting.

Error detection: Find rows with empty required fields, invalid formats, or out-of-range values.

Segment creation: Create customer segments like "active users with purchases over $100".

Data cleaning: Identify rows to remove or fix based on quality rules.

Test data generation: Filter production data to create focused test datasets.

Regex Filter Tips

Basic patterns:

^test.*      - Starts with "test"
.*@gmail.com  - Gmail addresses
d{3}-d{4}    - Phone format 123-4567
^[A-Z]+$       - All uppercase letters

Case insensitive: Enable the case-insensitive flag for patterns that should match regardless of case.

Special characters: Escape dots, parentheses, and other regex metacharacters with backslash.

Limitations

Large files: Works best with files under 50MB. Very large files may cause slow filtering.

Complex regex: Very complex regular expressions may cause performance issues.

Frequently Asked Questions

Can I filter on multiple columns?

Yes. Add multiple conditions, each targeting different columns. Combine with AND or OR logic.

Does filtering modify the original data?

No. The output is a new CSV with only matching rows. Original data is unchanged.

Can I save my filter for reuse?

This tool doesn't save filter configurations. For repeated filtering, consider writing a script.