Dummy Data Generator

What Is Dummy Data?

Dummy data — also called fake, mock, or sample data — is realistic-looking but entirely made-up content used to fill an application before real records exist. It lets you populate user lists, blog feeds, task boards, and product catalogs so a UI looks complete during design, demos, and testing, without touching any real personal information.

How to Use This Generator

1. Choose a type: users, posts, todos, or products.
2. Set the count — anywhere from 1 to 100 records.
3. Pick a language — English or Japanese — to localize names and text.
4. Select JSON or CSV, then copy the result, copy the URL, or download the file.

The seed controls randomness. Requesting the same URL with the same parameters always returns the exact same dataset, which is ideal for reproducible fixtures. You can fetch data directly by URL — see the Help page for every parameter.

JSON or CSV?

Choose JSON when you are seeding a database, mocking an API response, or loading fixtures in code — it preserves nested structure and types. Choose CSV when you need a flat table to open in a spreadsheet, import into a BI tool, or paste into a data pipeline. Both outputs contain the same records, just formatted differently.

Frequently Asked Questions

Is the data deterministic?

Yes. The same URL with the same parameters — type, count, language, format, and seed — always produces identical output, so your tests and demos stay stable.

Does it support Japanese?

Yes. Switch the language to Japanese to generate Japanese names, titles, and text instead of English.

Is it free?

Yes. The generator is free for personal and commercial projects, with no API key and no sign-up required.

Can I use it for tests?

Absolutely. Deterministic, seed-based output makes it perfect for unit tests, integration fixtures, and prototyping.