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Data generation

Free Synthetic Contact Data Generator

Generate synthetic email, website, phone, account and social fields.

Whole number between 1 and 100.

Use locale codes such as en, es, fr, de, pt_BR or zh_CN.

Include a generated phone number on each contact.

Choose the phone number format when phone output is enabled.

Include generated username and display name fields.

Include generated Twitter, LinkedIn and GitHub URLs.

Use reserved example domains for generated email addresses.

Allow special characters in email local parts.

Use one domain for generated emails. Leave blank for generated provider domains.

Use the same numeric seed to reproduce the same output.

01 · Definition

What is synthetic contact data generator?

A synthetic contact data generator creates contact records for software testing, CRM fixtures and product demos. Spotzee returns email addresses and website URLs, with optional phone numbers, username fields, display names and social profile URLs when you enable those fields.

The tool above sends your count, locale, seed, phone, account, social and email-domain options to the Spotzee Extended API, then renders the returned contacts[] records. Read the in-depth contact data generator guide for endpoint details and integration patterns.

02 · Process

How it works

  1. 1Enter a count.Type the number of contact records to generate, from 1 to 100.
  2. 2Choose generation options.Set locale, seed, phone, account, social and email-domain controls to match the fixture shape your test needs.
  3. 3Submit the request.The server route validates the count and option values, builds a form-encoded request and calls /generic/data/generate/contact.
  4. 4Read the result.The result panel renders email and website fields first, then adds phone, account and social rows only when the API returns them.

03 · Risk

Why it matters

Production contact records do not belong in development databases, demo screens or automated test runs. Synthetic contact data gives teams realistic email, website, phone and account shapes without copying customer records into lower-control environments.

Optional fields matter because real contact systems rarely contain one perfect schema. A contact data generator with toggles for phone numbers, social URLs, account fields, reserved example domains, custom domains and deterministic seeds lets you exercise missing-field and long-field paths before production users hit them.

04 · Use cases

Common ways to use this tool

  • CRM import testing. Use it as a CRM test data generator by importing sample contact data into staging to check field mapping, optional columns and duplicate handling.
  • Form validation testing. Use generated emails, websites and phone numbers to confirm signup and enquiry forms accept expected contact formats.
  • API integration testing. Seed contact payloads in API tests with repeatable records by setting the same seed and option set.
  • Prototype data fills. Fill product screens with contact records that include optional phone, username, display name and social URL fields.
  • Email-domain testing. Generate contacts on a single allowed domain to test tenant routing, domain filters or account provisioning logic.

05 · Interpretation

What to check in the result

  • Count outside 1 to 100. The API accepts up to 100 contact records per request. For larger datasets, call the endpoint multiple times.
  • Reserved and custom domains together. Do not combine useExampleEmail=true with emailDomain; choose reserved example-domain output or one custom domain.
  • Invalid custom domain. Use a single domain such as example.org; the route rejects blank labels, invalid characters and subdomain-style values.
  • Missing optional fields. phone, username, displayName and social only appear when their matching include option is enabled.
  • Invalid seed. Seeds must be whole numbers. Leave the field blank for random output, or reuse a numeric seed for repeatable fixtures.

Frequently asked

Questions about this tool

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