Fake Data Generator
Generate rows of realistic but synthetic test records — names, emails, phones, addresses and more — as CSV or JSON. Choose columns, row count, and a seed to reproduce results. Runs entirely in your browser, no server, no sign-up.
About this tool
The fake data generator produces rows of realistic-looking but entirely synthetic test records — perfect for seeding a database, populating a UI mockup, load-testing an import pipeline, or building a demo without exposing real people's information. None of the output describes a real person; the names, emails, and addresses are randomly assembled from placeholder pools.
What you can generate
Pick any combination of these columns (or choose all):
- id — a sequential row number; uuid — an RFC-4122 v4-style identifier
- first_name, last_name, full_name
- username — a lowercase handle derived from the name
- email — a synthetic address on a clearly-fake domain (example.com, test.org, …)
- phone — a formatted placeholder number
- street, city, state, zip, country — a postal address
- latitude, longitude — geographic coordinates
- company, job_title
- birthdate — an ISO
YYYY-MM-DDdate - domain, ipv4, ipv6, mac — network identifiers
- color — a
#rrggbbhex color; boolean — true/false - credit_card — a 16-digit, Luhn-valid placeholder number (never a real account)
- sentence — a lorem-ipsum sentence
Leave the columns box blank for a sensible default set (full_name, email, phone, street, city, state, zip).
CSV, JSON, SQL, or XML
- csv — a header row (optional) plus comma-separated data rows, with automatic quoting where a value contains a comma or quote.
- json — a pretty-printed array of objects you can paste straight into a fixture file.
- sql — ready-to-run
INSERT INTO …statements (numeric and boolean columns are emitted unquoted); set the table name to suit your schema. - xml — a
<records>document with one<record>per row.
Reproducible with a seed
Set the seed to any non-zero number and you'll get the exact same dataset
every time — handy for deterministic tests and code review. Leave it at 0 to
get fresh data on each run.
Everything runs locally in your browser via WebAssembly — your inputs never leave your device.
FAQ
How many rows can I generate at once?
Between 1 and 1000 rows per run (the default is 10). Asking for more than 1000 returns an error rather than a partial dataset — for bigger fixtures, run the tool a few times with different seeds, or script it via the gizza CLI.
Could the generated emails or credit-card numbers belong to real people?
No. Emails are only ever placed on reserved fake domains like example.com and
test.org, phone numbers are formatted placeholders, and the credit_card column
produces a 16-digit number that passes the Luhn check but is assembled from
random digits — it validates in forms without being a real account.
How do I regenerate the exact same dataset?
Set the seed to any non-zero number: the same seed + columns + row count
always produces byte-identical output, which makes test fixtures reviewable and
diffs stable. Seed 0 (the default) draws fresh random data every run.
What happens if I leave the columns box blank or misspell a column?
Blank gives you a sensible default set (full_name, email, phone, street, city,
state, zip). A column name that isn't in the supported list produces an error
listing what went wrong, instead of silently skipping the field — use all to
get every available column.
Developer & Automation Access
Run it from the terminal
Same engine as this page, headless — via the gizza CLI:
gizza tool fake-data-generator 'count=10'New to the CLI? Get gizza →
Open it by URL
Pre-fill and auto-run this tool with query parameters — the names match the API/CLI:
https://gizza.ai/tools/fake-data-generator/?count=10&format=csv&fields=full_name%2C%20email%2C%20phone%2C%20city&seed=0&header=true&table=peopleMachine-readable descriptor: tool.json — title + parameters JSON Schema for agents.