Online CSV Generator: customize rows and columns to instantly generate sample CSV data with headers. Perfect for testing, demos, and mock data. All processing is done locally.
TL;DR: Free online CSV generator. Create sample CSV data with headers in one click by customizing row and column counts, separators, and quoting. Ideal for testing, demos, and mock data. Runs locally.
This tool runs entirely in your browser. Open DevTools → Network panel and search your input — it appears in no request.
Usage Guide
You have data (names, emails, dates, amounts) and need a CSV file quickly — opening Excel is overkill, typing commas in Notepad is error-prone. This tool generates standard CSV through a form interface or pasted structured data, with download support, all local.
1. How to use
- Enter data column by column through the form, or paste existing list/table data into the input area.
- Set column names (headers) and delimiter (default comma, switchable to tab or semicolon).
- Preview the generated CSV and click download for the .csv file.
2. Data input considerations
- Commas in data values are automatically double-quoted — this is required by RFC 4180 CSV standard.
- Use consistent date format (YYYY-MM-DD) to prevent Excel from converting to US format (MM/DD/YYYY).
- Keep amounts as plain numbers with currency symbols in headers (e.g., "Amount(USD)") — symbols in data break sorting.
- For large datasets (1000+ rows), organize in a text editor first and paste in bulk.
3. CSV encoding issues
CSV files default to UTF-8, but Excel on Windows displays UTF-8 CSV with garbled Chinese — this is an Excel issue, not CSV. Solutions: (1) use Excel Data → From Text/CSV import (specify UTF-8); (2) add UTF-8 BOM (\uFEFF) at file start for Excel to detect encoding; (3) open with Numbers (macOS) or Google Sheets. This tool outputs standard UTF-8 CSV; if you see encoding issues, use the above methods.
FAQ
Completely free with no registration. All data is randomly generated locally in your browser.
Row count, column count, header names, and separators — covering common mock-data scenarios for testing.
Yes. The tool produces random yet realistically formatted sample data, ideal for demos and test cases.
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