Use-case online tools
CSV Data Cleanup Tools
Small data tools for cleaning spreadsheet exports and turning them into usable structured text.
Useful For
Which Tool Should I Use?
Tools In This Set
Suggested Workflow
Before You Use These Tools
Use these tools for small preprocessing tasks
CSV and JSON tools are best for pasted spreadsheet rows, API response snippets, and test data. Very large exports or sensitive customer data should be cleaned in a database, spreadsheet, or controlled data workflow first.
Check delimiters and quotes first
CSV output can change depending on commas, tabs, line breaks, and quoted values. Before extracting columns or converting to JSON, inspect the header and a few sample rows, then compare the converted output for missing fields.
Re-test generated developer output
JSON formatting and TypeScript type generation are useful drafts, but real API schemas, null values, arrays, and dates should be checked in your project runtime. Remove private tokens or personal data before copying examples.
FAQ
Can it handle large CSV files?
These tools run in browser memory, so they are best for pasted tables and small CSV snippets.
Can I use both CSV and TSV?
Depending on the tool, comma, tab, and line-based text can be handled. Check output carefully when files contain complex quotes or embedded line breaks.
Is data sent to an API?
CSV cleanup and JSON conversion tools are built for browser-side preprocessing and quick copying by default.