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A synthetic name data generator creates fictional names for product screens, QA fixtures, CRM demos and automated tests. It returns realistic first, middle, last, full, prefix and suffix values without using production contact lists or real customer records, so you can test name handling without exposing personal data.
Run this generator at /tools/name-generator.

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Why this matters

Placeholder names like “John Doe” and “Test User” hide the cases that break interfaces. Long names. Short names. Prefixes, suffixes and middle names that don’t fit neat two-column assumptions. Synthetic name data gives teams useful fixture values without copying customer records into staging, screenshots or automated test logs. And seeded output makes a failed test easier to debug because the same count, locale, gender and type can return the same dataset again. Each Extended API call deducts a small per-call amount from your Spotzee credit balance. See live per-tool pricing on the Spotzee pricing page.

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How it works

1

Send the request

POST to /generic/data/generate/name with a count from 1 to 100, plus optional locale, gender, type, seed, includeMiddleName and includePrefixSuffix fields.
2

Choose the output type

Set type to full, first, middle, last, prefix or suffix depending on the field your test needs.
3

Add optional fields

Use includeMiddleName=true and includePrefixSuffix=true with type=full when you need expanded full-name records.
4

Read the records

The response returns data.names[] plus generated, locale and optional seed metadata.

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What to watch for

  • Count outside 1 to 100. The endpoint accepts up to 100 records per request. For larger fixture sets, call it multiple times.
  • Type-specific fields. type=first returns first-name fields, while type=prefix returns prefix fields. Don’t expect every field on every method.
  • Middle name output. includeMiddleName=true only affects full-name output, so keep type=full when you need middle names.
  • Prefix and suffix output. includePrefixSuffix=true only adds prefix and suffix fields when full-name output is selected.
  • Invalid seed values. Seeds must be whole numbers. Leave the field blank for random output.
  • Locale assumptions. The schema accepts locale strings such as en, es, fr, de, pt_BR and zh_CN. Test your storage and search paths with the locales you plan to use.

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FAQs

No. Generated names are synthetic sample data, not real people. Use them for product demos, QA fixtures and test databases instead of copying names from production systems.
A synthetic name data generator can return firstName, middleName, lastName, fullName, prefix, suffix and optional gender fields. The fields depend on the selected type and option toggles.
Yes. Send a numeric seed to reproduce output for the same count, locale, gender, type and option set. Leave the seed blank when you want exploratory random name generator output.
Yes. Set type=first, type=middle, type=last, type=prefix or type=suffix when you only need one field. Use type=full for first and last name generator output.
Call the endpoint multiple times. Each request accepts a count from 1 to 100, and you can change the seed per batch when you need deterministic output.
This page is the canonical name generator guide for endpoint options, response fields and integration patterns. Pair it with the person data generator guide and contact data generator guide when you need fuller test datasets.

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Try it

Generate synthetic names at spotzee.com/tools/name-generator. For batch or programmatic use, call the Extended API endpoint directly with your Spotzee API key.