anonym.legal

By · Last updated 2026-04-07

PII Detectie: 285+ Entiteitstypen

Onze regex-gebaseerde detectiemachine identificeert meer dan 285 soorten persoonlijke informatie met patroon-gebaseerde precisie. Zelfde invoer, zelfde uitvoer - elke keer weer.

Hoe Detectie Werkt

Patroonherkenning

Maakt gebruik van zorgvuldig samengestelde regex-patronen voor elk entiteitstype, wat zorgt voor consistente en voorspelbare resultaten in alle documenten.

Vertrouwensscore

Elke detectie omvat een vertrouwensscore (0-1) op basis van patroonsterkte en context, wat u helpt om resultaten te filteren.

Contextbewustzijn

De omringende tekstcontext verbetert de detectieprecisie, vermindert valse positieven en pakt randgevallen aan.

Supported Entity Types

Comprehensive coverage of personal information types across categories

Personal Identifiers

  • Person Names
  • Email Addresses
  • Phone Numbers
  • Date of Birth
  • Age
  • Gender
  • Nationality

Financial Information

  • Credit Card Numbers
  • IBAN
  • BIC/SWIFT
  • Bank Account Numbers
  • Tax IDs
  • VAT Numbers

Government IDs

  • Social Security Numbers (SSN)
  • National ID Numbers
  • Passport Numbers
  • Driver's License
  • Health Insurance IDs

Location Data

  • Street Addresses
  • Cities
  • ZIP/Postal Codes
  • Countries
  • GPS Coordinates

Digital Identifiers

  • IP Addresses (v4/v6)
  • MAC Addresses
  • URLs
  • Domain Names
  • User IDs

Organization Data

  • Company Names
  • Organization IDs
  • Registration Numbers
  • Department Names

Temporal Data

  • Dates
  • Times
  • Date Ranges
  • Timestamps

International Formats

  • German ID (Personalausweis)
  • UK National Insurance
  • Spanish DNI/NIE
  • Italian Codice Fiscale
  • And 20+ more country-specific formats

Ondersteuning voor Aangepaste Entiteiten

Moet u aangepaste patronen detecteren? Maak uw eigen entiteitstypen met regex-patronen of gebruik onze AI-ondersteunde patroon generator.

Handmatige Patrooncreatie

Definieer regex-patronen voor eigen identificatoren zoals interne werknemers-ID's, projectcodes of aangepaste referentienummers.

AI Patroon Generator

Beschrijf wat u wilt detecteren in gewone taal, en onze AI genereert geoptimaliseerde regex-patronen voor u.

Leer meer over AI Entiteit Creatie

Begin Vandaag met het Detecteren van PII

Probeer onze detectiemachine gratis met 200 tokens per cyclus. Geen creditcard vereist.

Maak Gratis Account Aan

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.