Enterprise-Grade PII Detektion & Anonymisering
Regex patterns for structured data, proven ML models for names. Transparent, auditable results on Hetzner's ISO 27001-certified servers in Germany.
Hvorfor Vælge anonym.legal
Deterministic Pattern Detection
Regex patterns for structured data (emails, SSNs, credit cards) give 100% reproducible results. ML-based NER for names and organizations provides high consistency. Fully auditable for compliance.
Lær om vores teknologi →Hetzner Germany, ISO 27001 Certified
Al behandling sker i Hetzners ISO 27001-certificerede datacentre i Tyskland. Dine data forbliver i EU uden overraskende jurisdiktion problemer.
Se sikkerhedsdetaljer →Token-Baseret Prissætning Du Kan Forstå
Betal for hvad du bruger med vores gennemsigtige tokensystem. Gratis niveau inkluderer 200 tokens (~15-18 sider/måned). Ingen skjulte gebyrer, ingen overraskelser.
Se priser →AI Integration med Privatlivsbeskyttelse
Forbind dine AI værktøjer som Cursor og Claude Desktop mens du holder dine følsomme data sikre med automatisk PII anonymisering.
Your AI Tool
(Cursor, Claude)
MCP Server
(Anonymizes PII)
AI Processes
(Safe data only)
Restore Values
(Optional)
MCP Server fungerer som et privatlivsbeskyttende skjold mellem dine AI værktøjer og følsomme data. Den detekterer automatisk og anonymiserer PII før den sendes til AI, og gendanner derefter originale værdier i svarene—sikrer at AI aldrig ser dine rigtige data.
Sømløs AI Værktøjsintegration
Fungerer med Cursor, Claude Desktop og andre MCP-kompatible værktøjer
Privatliv-Først Arkitektur
AI behandler kun anonymiserede data—original PII forlader aldrig din kontrol
Reversibel Anonymisering
Tokenisering giver dig mulighed for at gendanne originale værdier når det er nødvendigt
Samme Token Prissætning
Bruger din eksisterende token saldo—ingen ekstra omkostninger
Understøttede AI Værktøjer:
Tilgængelig på Pro og Business planer. Opgrader for at låse op.
Behandl Dokumenter Sikkert
Maksimal privatliv med sikker filhåndtering. Dokumenter forbliver på din enhed — kun udtrukket tekst sendes til analyse.
Drag & Drop
(Your files)
Local Processing
(On your device)
Analyze & Anonymize
(Text only)
Save Result
(Stay local)
Desktop App behandler dokumenter helt på din enhed. Filer læses lokalt, kun den udtrukne tekst sendes til analyse, og dine dokumenter forbliver private.
Sikker Filhåndtering
Dokumenter forbliver på din computer — kun udtrukket tekst sendes til vores sikre API
Krypteret Lokal Opbevaring
Historik, forudindstillinger og krypteringsnøgler opbevares i din krypterede lokale vault
Drag & Drop Interface
Simpel, intuitiv arbejdsgang—træk filer og få resultater straks
Flere Formater
PDF, DOCX, TXT og mere—behandl enhver dokumenttype
Tilgængelig for:
Detekter navne, e-mails, telefonnumre, kreditkort, CPR-numre, IBAN'er, IP-adresser og mere på tværs af flere kategorier.
Fuld støtte for 48 sprog inklusive engelsk, tysk, spansk, fransk og 43 mere med RTL understøttelse for arabisk, hebraisk, persisk og urdu. Drevet af spaCy, Stanza og XLM-RoBERTa NLP motorer.
Erstat, Rediger, Hash (SHA-256), Krypter (AES-256-GCM) eller Maskér—vælg den beskyttelsesmetode der passer til din brugssag.
Enterprise-grade pålidelighed med overvågning, automatiserede sikkerhedskopier og hændelsesrespons procedurer.
Gratis vejledninger om compliance og sikkerhed
Hent ekspertmaterialer, der hjælper din organisation med at beskytte følsomme data og opfylde krav til compliance.
Se det i aktion
Se, hvordan anonym.legal beskytter følsomme data i realtid på tværs af Deres foretrukne værktøjer.
Latest Insights
Research, guides, and analysis on data privacy
Japan My Number: Verhoeff & APPI
63% of generic tools fail My Number detection in Japanese documents. My Number uses Verhoeff algorithm — the most complex national ID checksum in Asia.
HDPA Greece: AFM & AMKA Detection
Greek AFM detected with 52% accuracy by generic tools. HDPA issued 89 decisions in 2024 — up 162% from 2022. Tourism and maritime sectors face distinct.
NAIH Hungary: TAJ-Szám and Adóazonosító Jel
Hungarian NER accuracy is 67% vs. EU average 82% — NAIH's 2024 assessment. TAJ-szám weighted checksum and adóazonosító jel detection gaps.
Explore anonym.legal
Klar til at Beskytte Dine Data?
Start med vores gratis niveau—200 tokens pr. cyklus, ingen kreditkort kræves.
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
- Common questions
- Glossary
- How tokens work
- Security posture
- Where we comply
- What we detect
- Case studies
- Release notes
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
- Open the web app and try a sample file.
- Learn how credits get counted.
- See current plans and limits.
- Meet the team behind the product.
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.