Clean CSV files without uploading them
Drop a CSV, clean whitespace, deduplicate entire rows or selected key columns, review an audit summary, and download the result. Your file stays on your device.
Choose your CSV
Configure the result
Preview
Choose the next action, not another generic page
Clean and prepare
Audit and validate
Import workflows
Reference and test assets
Workflow guide
From source file to checked output
- 1
Choose a CSV file and its source encoding.
- 2
Select whitespace, empty-row, and duplicate-key rules.
- 3
Review the audit, preview transformed rows, and download UTF-8 CSV.
Trim a supplier export before re-import
Input
sku,title
A-100 , Blue Shirt
,Expected result
sku,title
A-100,Blue ShirtBoundary: The cleaner changes whitespace and rows only according to the selected checkboxes. It does not infer data types, repair business rules, or know the destination schema.
Need a browser tool that is not CSV-specific?
Tiny Task Tools includes focused utilities for text cleanup, JSON, regex, time zones, cron expressions, colors, passwords, aspect ratios, and percentages. They also run locally without an account.
Stay here for catalog and CSV workflows. Use Tiny Task Tools for smaller text, code, time, and everyday calculation tasks.
Useful before it becomes a workflow
These tools target repetitive catalog and operations tasks. Today each action is free and local. Reusable mappings, batch execution, automation, and APIs will only be built when repeated demand is proven.
Always validate output against the destination system’s current specification. This site is independent and is not certified by a marketplace.
Before you process a file
Does this upload my CSV?
No. Parsing and transformation run in your browser. The file contents are not sent to our server.
Which delimiters are supported?
Comma, semicolon, tab, and pipe-delimited files are supported. Automatic delimiter detection is used by default.
Can I use this for sensitive business data?
Local processing reduces exposure, but you should still follow your organization’s data-handling policy and verify the output before use.