Baby Name Generator

Boy Names

Hayden
Owen
Santana
Finnley
Nathanael

Girl Names

Eleanor
Samara
Nala
Kendra
Paisley

Generate random baby-name ideas

Select Generate for five ideas from each SSA source list, or use the menu for 10, 50, or 100. Copy the paired results or download them as CSV or JSON. Generation happens locally from a static dataset.

The source is the U.S. Social Security Administration's top 1,000 names for births in 2025. It is an annual national popularity snapshot, not a live ranking, meaning guide, cultural recommendation, or prediction.

Understand the SSA source

SSA rankings come from first names recorded on Social Security card applications for U.S. births. The source columns use recorded sex categories, rank different spellings separately, and exclude rare names from published data for privacy. A source label does not decide who may use a name.

Review ideas before choosing

Check pronunciation, spelling, initials, family associations, meanings, and cultural context independently. The generator does not consider surnames, sibling names, location, language, popularity changes after 2025, or legal naming rules.

Related name tools

Definitions and scope

This generator samples first names from the site's stored 2025 SSA top-1,000 male and female name lists. It is an idea prompt, not a predictor or recommendation engine.

Selections come from a fixed United States popularity snapshot. The gender labels mirror source columns and do not decide a name's identity, culture, pronunciation, or appropriate use.

Worked example

Request five names with both lists enabled. A valid result contains five sampled entries from the stored lists; rerunning may change order, repeat earlier-session ideas, or include names far below the top ranks.

Assumptions and limitations

Every included list entry is eligible regardless of rank. Output does not use birth-count weighting, family preferences, sibling names, initials, language, state, meaning, or trends after 2025.

Random appearance does not guarantee uniform audited randomness, uniqueness across runs, or cultural fit. Confirm spelling, meaning, pronunciation, and legal requirements independently.

Common mistakes

Common mistakes include treating output as live popularity data, assuming a source category restricts name usage, and choosing without checking initials or family context.

Privacy and accuracy

Generation and filtering happen in this browser from a static site file. No candidate list is submitted to Awesome Tools.