CSV Filter

Filtering CSV Datasets with Precise Column Conditions

Finding and isolating specific subsets of data from massive CSV files—such as all customers from a particular city, orders above $500, or active account statuses—should not require writing custom Python or SQL scripts.

Our CSV Filter allows you to apply intuitive conditional filters across any column, instantly generating a trimmed dataset of matching rows ready for export.

How to Use

1. Paste your CSV content or upload a `.csv` file.
2. Choose the column to filter and select your condition (Contains, Equals, Greater Than, Less Than, Starts With).
3. Enter your criteria value.
4. Review matching records and export the filtered CSV.

Key Features & Capabilities

• Condition operators: Contains, Equals, Does Not Equal, Greater Than, Less Than, Starts With, Is Empty.
• Real-time count of total rows vs. matching filtered rows.
• Case-sensitive or case-insensitive matching toggle.
• 100% private in-browser filtering.

Common Developer Workflows

• Extracting high-value orders (e.g. `amount > 1000`) from eCommerce reports.
• Filtering active users (`status == "active"`) for notification broadcasts.
• Isolating regional data (`country == "SA"`) for localized marketing analysis.
• Removing incomplete rows (`email != ""` or `phone is not empty`).

Frequently Asked Questions