Phone Number Generator + Validator Workflow

Combine generation and regex/lookup validation to tighten QA feedback loops across APIs and forms.

2025-01-09Automation

Why pair generation with validation

Generating fake data ensures privacy, but validators confirm your application enforces length, prefix, and formatting rules. Running them together reduces production edge cases.

Suggested toolchain

  1. Generate a scoped dataset (country + format + optional prefixes).
  2. Run regex validation locally (see our regex article) or call a telecom lookup API for extra checks.
  3. Fail fast: flag numbers that break formatting, regenerate with adjusted settings.

Automation example

const dataset = await import("./us-numbers.json");
dataset.forEach((item) => {
  expect(E164_REGEX.test(item.phone)).toBeTruthy();
});

Takeaways

Keep generator presets version-controlled and run validators in CI so the two steps stay in sync.

Generate + validate in one run

Create a scoped dataset and send it through your regex/lookup pipeline.

Use the preset as a starting point, then export JSON to feed the validator workflow illustrated above.