Fake Australian Data Generator — Aussie Names, Emails & Addresses

What data types can you generate?

This Australian fake data generator spans 27 field types across six groups, each turning out Aussie-appropriate values:

Person — full name, first name, surname, email address, phone number, username, password, birth date, gender, job title
Location — street address, city, state or territory, postcode, country, latitude, longitude
Business — company name, website URL
Internet — IPv4 address, MAC address
IDs & numbers — UUID, random number, boolean
Text — lorem ipsum word, sentence, paragraph

Blend any of these into the one dataset. A run-of-the-mill Australian dataset might pull together first name, surname, email, phone, street address, city, postcode and company — all generated in a single click.

Why generate Australian data?

Generate Australian data and the names, addresses and phone numbers stick to Aussie conventions — not labels translated on top but values that are structurally sound. That means Australian names, Australian phone formats and addresses with a genuine state or territory and postcode. It is the difference-maker when testing internationalised apps, checking your UI takes Australian input in its stride, or demoing a product to an Australian audience with data that fits.

After a different locale? Reach for the selector above, or swing by the US fake data generator.

Sample Australian dataset

Here is a taste of the Australian data this generator turns out — Aussie names, emails, phone numbers and cities (all fictional):

first_name	last_name	email	phone	city
Isla	Hickle	[email protected]	+61 7 4486 4525	Willowview
Caleb	Walter	[email protected]	+61 8 4845 8526	Finnmouth
Caleb	Donnelly	[email protected]	02 8224 7390	Port Isaac
Matilda	Garden	[email protected]	03 7985 0594	East Alyssa
Ivy	Ward	[email protected]	+61 2 3542 8540	Port Rubycester
Sam	Schroeder	[email protected]	02 8103 4794	Kleinberg
Claudia	Graham	[email protected]	+61 3 7604 1737	North Benjamin
Riley	Goodwin	[email protected]	02 2185 3148	Mitchellton

Build a full schema — not one field at a time

Most basic fake data tools let you pick a single field and copy a list. That is grand for a quick email, but no use at all when you need a complete user table for a seed script or a lifelike CSV for an import test.

This one works like a compact schema builder. Add as many columns as you like, give each a name and a data type, and turn out every row in one go. Four presets cover the bread-and-butter cases:

Person — first name, surname, email, phone, birth date
Address — street, city, state or territory, postcode, country
Company — company name, job title, email, website
Full profile — ID, name, email, phone, address, country, company and job title in one table

Column names are yours to edit, so you can match your exact database schema or naming convention before you export.

Export fake data as CSV, JSON or SQL

With the rows generated, pick the export format that suits your workflow:

CSV — a header row over comma-separated values, set to open in Excel, Google Sheets or Numbers. It also feeds database import wizards, pandas read_csv and any tool that takes flat files.
JSON — an array of objects keyed by your column names. Slot it into a REST API mock, a Node.js fixture, a json-server database or any front end that reads JSON.
SQL — an INSERT INTO statement ready to run on MySQL, MariaDB, PostgreSQL or SQLite. Set the table name before exporting to match your schema. Strings are properly single-quote escaped; booleans and numbers stay bare.

Hit Download to save the file straight off, or Copy to drop it wherever you need it. Up to 1,000 rows a go.

Completely free — no account, no limits

No account to set up, no API key to wrangle, no daily row cap. Generate as much Australian data as you need. It is all produced locally in your browser with Faker.js — nothing goes to a server, nothing is stored, and the tool keeps running offline once the page has loaded.