How much fake data can I generate at once?

You can generate between 1 and 10,000 rows in a single batch. All generation happens in your browser, so larger datasets may take a moment.

Is the generated data realistic?

Yes. The generator uses curated arrays of real-world names, cities, companies, and other data to produce realistic-looking test data.

Should I start with a preset or a custom schema?

Start with a preset if your use case is common, then customize it when the data shape needs to match a specific app or database.

Can I use the same data for API mocks and SQL seeding?

Yes. That is one of the best reasons to generate in a structured format first, then export to the destination you need.

Why generate smaller batches first?

A small batch lets you confirm the schema and output format before you spend time generating more data than you need.

Free Fake Data Generator — JSON, CSV & SQL Output

Test Data Without the Hassle

Every developer needs test data, and most teams waste time assembling it by hand. FreeDevKit's Fake Data Generator creates realistic names, emails, addresses, phone numbers, companies, and more. Define custom schemas with field names and types, then generate up to 10,000 rows instantly without building the data set manually.

Multiple Output Formats

Export generated data as JSON for APIs, CSV for spreadsheets, or SQL INSERT statements for direct database seeding. Set a custom table name for SQL output. That makes the same generated data useful across frontend mocks, spreadsheet review, and database seeding without re-entering the schema.

Preset Schemas

Start quickly with built-in presets for Users, Products, and Orders. Each preset gives you a practical starting point, and you can customize any preset by adding or removing fields as the real project requires.

The Right Way to Use Generated Data

A useful workflow is to generate the smallest realistic set first, confirm the shape looks right, and then scale up only if you need more rows. That keeps you from overfilling your local workflow with data you do not actually need.

Why Realistic Data Helps Debugging

Test data that feels believable makes UI testing, CSV review, and SQL seeding much more useful because you can immediately see whether the app handles realistic names, amounts, and dates properly.

Free Fake Data Generator — JSON, CSV & SQL Output

Test Data Without the Hassle

Multiple Output Formats

Preset Schemas

The Right Way to Use Generated Data

Why Realistic Data Helps Debugging

Frequently Asked Questions

Generate better test data

Related Posts