About the Author & Methodology
Every guide and tool on FakeName Generator is written and built by Vincent, an independent developer. There is no company, no editorial team and no contributor network — one person builds the generator, assembles the datasets and writes the guides.
That means the honest basis for trusting anything here is not a résumé. It is whether the claims check out. So here is what this site is actually built on, in enough detail to audit it.
What the guides are built on
- The same code, not a parallel explanation. When a guide describes the Luhn checksum, IBAN mod-97, an ABA routing checksum or a VIN check digit, the validator it describes is the one running on the free tools and inside the generator. There is one implementation, so a guide cannot drift from the behaviour.
- Named public datasets, not invented detail. US postal codes and coordinates come from GeoNames (CC BY 4.0), area codes from the NANPA rate-centre report, delivery-type classification from an open US ZIP dataset, and international address ordering from the Universal Postal Union's per-country addressing files. Each is named on the methodology page, with what it covers and what it does not.
- Worked examples are computed, not asserted. Where a page shows a checksum being calculated, the arithmetic is run against the value on screen at build time — so the example cannot be right in the article and wrong in the tool.
What this site says it cannot do
The methodology page carries a "limits we know about" section listing the places where the generated data is structurally valid but not guaranteed exact, and which countries are deliberately left unpinned and why. It is maintained as a record of known gaps rather than a feature list, and it is updated in the same commits that change the underlying data. If a guarantee is not stated there, do not assume it.
How I research and fact-check
This content is held to a standard you can verify:
- Primary sources. Claims about standards and regulations cite the source directly — RFCs, ISO standards, the SSA, HMRC, the Federal Reserve, GDPR articles by number — listed in a references section on each guide.
- Worked examples are computed, not asserted. When a guide shows a checksum or a conversion, the arithmetic is run and checked.
- One non-negotiable rule: framing. Everything here is for software testing, QA, and privacy — never fraud or impersonation.
- Dated and maintained. Every article shows when it was last updated, and guides are revised as standards change.
My standards
I won't publish a meaning, a spec, or a number I can't source. If something is wrong, tell me via the contact page and I will correct it. For the rules governing the data these tools produce, see the Terms of Use.