ARZENTIQ
TEXT & WRITING

Random Name Generator

Generate placeholder names — first and last, female or male, as “First Last”, initials or usernames — drawn from public US name lists, reproducible by seed.

A batch of realistic placeholder names for mock-ups, test data and examples, with the lists they come from stated and a seed that regenerates the same batch.

Example: Ten names of any sex in “First Last” form draw from 400 first names and 300 surnames — 120,000 combinations; the same seed always returns the same ten.

v0.1.0 · last reviewed 19 September 2026
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Real lists,
invented people.

Where the names come from, how they are picked, and why a seed is shown.

The lists

First names are the 200 most common male and 200 most common female baby names of the 2010s as published by the US Social Security Administration; surnames are the 300 most frequent in the US Census Bureau's 2010 surname file. Both are public-domain government data, fetched on 19 September 2026 and embedded as they were published. The lists are American English; a generator for another language would need its own source.

Picking

Each name is a uniform pick — every list entry is equally likely, not weighted by how common it is — from a seeded pseudo-random generator (mulberry32). The seed is shown with the result and can be typed back in to reproduce the same batch, which is useful for test fixtures; “Regenerate” draws a new seed from the browser's cryptographic random source. “Unique” prevents the same full name appearing twice in a batch; single-field batches are drawn without replacement and are capped at the list length.

What these names are not

They are placeholders. Any match with a living person is the coincidence of two common names, and nothing here is drawn from, or checks against, any record of real people. The generator is not a source of randomness for passwords or keys. Nothing leaves the browser; the same four anonymous usage counts as the rest of the site apply.

SOURCES

Last reviewed 19 September 2026. How results are checked: How we verify.