Upload or paste your CSV
Paste your CSV data or upload a file. The first row should contain your column headers.
Filter rows in a CSV file by column value, text match, or numeric conditions. Paste CSV data or upload a file to keep only the rows you need.
Or upload a CSV file
In your browser · Up to 200 MB (50+ MB may feel slow)
Results
HOW IT WORKS
Upload your CSV, set your filter conditions, and download the filtered data. Everything runs in your browser with no uploads or data leaving your device.
Upload or paste your CSV
Paste your CSV data or upload a file. The first row should contain your column headers.
Set your filter conditions
Choose a column, operator, and value to filter rows. You can add multiple conditions and match all or any of them.
Download the filtered CSV
Apply the filters and download the result instantly, or copy it to your clipboard.
Why use this tool
A CSV row filter helps you pull out just the records you care about without touching the rest of the file. Instead of manually scanning and deleting rows in a spreadsheet, you can keep matching rows or remove unwanted ones in a single step.
Filter by any column
Use header names or generic column labels to filter rows by city, status, ID, or any other field.
Combine multiple conditions
Match all conditions (AND) or any condition (OR) and quickly narrow down large datasets.
Keep or remove matches
Choose whether to keep rows that match your filters or remove them from the output.
FAQ
About this tool
CSV Row Filter is designed for quick, one-off filtering tasks that would be tedious in a spreadsheet. You can use it to keep only paid orders, active users, rows from a specific city, or values above a numeric threshold. Common examples include filtering leads by status, transactions by amount, or rows where a column is empty.
Because everything runs in your browser, you can safely use exports from CRM systems, analytics tools, or databases without sending data to a third party. Paste or upload your CSV, apply conditions, and download a clean, filtered file in seconds.