Synthetic Data Studio

Synthetic Data Studio

Design a synthetic dataset one column at a time. Add columns, pick a field type for each — names, emails, addresses, phone numbers, numbers, dates, companies, finance, and hundreds more — set each column’s options, and generate as many rows as you need. Every value is fictional and must never be used to represent or contact real people.

Building a dataset

Add a column, give it a name, and choose its field type from the picker — search hundreds of types grouped by category (Person, Internet, Location, Finance, Dates, and more), each showing a live sample so you can see what it produces before you pick it. Every field type’s options appear as real controls — number ranges, dropdowns, toggles, date pickers — and a live sample under each column updates as you tune them. Reorder or remove columns as you refine the shape.

Pick a locale to localise names, addresses, and phone numbers. Set the row count for how many records to produce.

Reproducible output

Turn on Reproducible output and set a seed to get the exact same dataset every time from the same settings — handy for fixtures and shareable examples. Date fields are anchored to a fixed reference date (under Advanced) so seeded output stays stable regardless of when you run it.

Export

Output is a table, so it exports to CSV, JSON, NDJSON, TSV, Markdown, YAML, and SQL, plus every other format under the format menu. Copy or download the result, save your column layout as a recipe, or share the settings as a link — only settings travel, never the generated rows.

Privacy and safety

Generation happens entirely in your browser. The output is synthetic test data: do not use it to contact anyone, make decisions about individuals, or stand in for real records. Generated emails, names, and identifiers are fictional and non-authoritative.

FAQ

Is this real data?

No. Every value is randomly generated and fictional. It only looks realistic so it’s useful for tests, demos, and prototypes.

Can I reproduce the same dataset later?

Yes. Keep the seed, columns, locale, and reference date unchanged and you’ll get identical rows.

How do I set options for a field?

Each field type shows its own controls right under the column — steppers for numbers, dropdowns for choices, toggles for on/off options, and date pickers. Leave a control blank to use its default. No syntax to learn.

Which field types are available?

Hundreds — spanning people, contact details, locations, companies, commerce, finance, dates, numbers, text, and more. Open a column’s field-type picker and search or browse by category.

How many rows can I generate?

Enough for realistic fixtures and imports. Very large datasets show a preview of the first rows, with the full set available on download.