Why this random CSV generator?
- Generate CSV test data without uploads (browser-only).
- Start from templates or build your own schema.
- Preview first rows before downloading full CSV.
- Share settings safely: URLs never include generated data or schema.
How to use (3 steps)
- Pick a template or define columns.
- Set rows and CSV options.
- Generate, preview, then download.
Generate
Random CSV generator
Define a schema (columns + types), generate rows, then download CSV or schema JSON.
How to generate realistic CSV test data
Define the columns first, then choose the row count and export settings. The preview helps you catch schema mistakes before you download the file.
How it works
Each column type generates local browser-side values such as names, numbers, dates, IDs, or custom patterns. Unique constraints are checked against the available value space, so a very small range can run out of distinct values.
When to use
Use this tool for sample imports, UI demos, QA fixtures, spreadsheet examples, and CSV parser tests. Use the JSON, SQL, or time-series generators when the downstream system expects those shapes instead.
Common mistakes to avoid
- Requesting more unique rows than the selected range can provide.
- Sharing a URL and assuming it contains the generated data; URLs store settings only.
- Skipping the delimiter and header options before importing into another tool.
- Using synthetic data for production records or privacy-sensitive datasets.
See also
FAQ
Is my data uploaded?
No. Everything runs locally in your browser.
Can I share a link to my CSV?
Share URLs include settings only. Use downloads to share generated data.
Why can unique generation fail?
If the value space is too small (e.g., integer range), duplicates may be unavoidable.
How do I reuse a schema?
Download schema JSON, then import it later.
What should I check before downloading CSV?
Review the column schema, row count, delimiter, header option, and unique constraints in the preview. Share URLs include settings only, so download the generated file when you need to pass the data to someone else.
CSV schema workflow
Build columns deliberately
Name columns to match the import system, choose a type for each field, and set ranges or patterns before increasing the row count.
Preview before export
The preview shows the first rows and header state. Check quotes, separators, date formats, and blank-looking values before downloading a larger file.
Reuse settings
Download schema JSON when you want to repeat a fixture later, or share the URL when a teammate only needs the generator settings.
Choose adjacent generators
Use Random JSON for API payloads, SQL Insert for database seed scripts, and Synthetic Time Series when timestamp cadence matters more than tabular variety.