By · Last updated 2026-04-29

Back to BlogGDPR & Compliance

EU ID Gap: Steuer-ID, NIR, Personnummer

Generic PII tools are built around US identifiers. The German Steuer-ID, French NIR, Swedish Personnummer, and Norwegian Fodselsnummer are completely.

April 29, 20268 minute read
EU identifier gapSteuer-ID detectionFrench NIR anonymizationSwedish PersonnummerNordic identifier GDPR

EU ID Gap: Steuer-ID, NIR, Personnummer

US-built PII tools were made for American data. They detect SSNs, US phone formats, and US driver's licenses well. EU identifiers work differently. They follow different structures and different check rules. A US regex will not match a German Steuer-ID. The structural gap is not a minor one.

Why EU Identifiers Are Different

The German Steuer-ID has 11 positions. The first cannot be zero. No position value may repeat more than three times in a row. A checksum formula validates the last position. It is published by the Bundeszentralamt für Steuern. No US SSN pattern will find this.

The French NIR has 15 positions total. Each carries meaning. Position 1 encodes gender. Positions 2–3 encode birth year. Positions 4–5 encode birth month. Positions 6–7 encode the department of birth. Positions 14–15 form a check key. No US format pattern will find a NIR.

The Swedish Personnummer follows the form YYMMDD-XXXX. The Norwegian Fødselsnummer has 11 positions with a two-stage checksum. These formats are not minor US variations. They are set by national law. There is no US equivalent.

The Compliance Gap in Practice

A pan-European HR platform using a US-built PII tool for 18 EU countries will miss most national IDs. Every file with a Steuer-ID, NIR, Personnummer, or Fødselsnummer passes through with that ID exposed.

This gap is systematic. It is not a configuration issue. The tool was simply not built to see these formats.

Full EU Coverage Requirements

Minimum EU coverage for GDPR compliance includes identifiers across several regions.

DACH: German Steuer-ID and Reisepass; Austrian Sozialversicherungsnummer; Swiss AHV-Nr with check value.

France: NIR, Carte Vitale, SIRET, and SIREN.

UK: NHS Number, National Insurance number (AA-NN-NN-NN-A format), and UTR.

Nordic: Swedish Personnummer (YYMMDD-XXXX), Norwegian Fødselsnummer, Finnish Henkilötunnus (DDMMYY-XXXX), and Danish CPR (DDMMYY-XXXX).

Southern EU: Spanish DNI/NIE, Italian Codice Fiscale (16-character alphanumeric), Polish PESEL, and Czech Rodné číslo.

Organizations switching from US-built tools to EU-comprehensive coverage often find their prior tool achieved only 30–40% detection of EU identifiers. Most European national IDs went undetected.

For more on GDPR technical obligations, see GDPR compliance resources.

What Full Coverage Looks Like

A managed EU entity library covers all the formats above. Updates ship when national formats change. No custom code or pull request is needed from your team.

For IDs outside the standard library, a custom entity builder lets you add patterns without writing code. See security and compliance details for how updates and audit trails work.

Sources

Ready to protect your data?

Start anonymizing PII with 285+ entity types across 48 languages.

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

Related reading

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our servers live in Falkenstein, Germany.

We use Hetzner. They hold ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
  • We never run ads inside the product.

Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.