Enterprise-Grade PII Detection & Anonymization
Regex patterns for structured data, proven ML models for names. Transparent, auditable results on Hetzner's ISO 27001-certified servers in Germany.
Why Choose 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.
Learn about our technology →Hetzner Germany, ISO 27001 Certified
All processing happens in Hetzner's ISO 27001-certified data centers in Germany. Your data stays in the EU with no surprise jurisdiction issues.
View security details →Token-Based Pricing You Can Understand
Pay for what you use with our transparent token system. Free tier includes 200 tokens — enough to try the platform on a few documents. No hidden fees, no surprises.
See pricing →AI Integration with Privacy Protection
Connect your AI tools like Cursor and Claude Desktop while keeping your sensitive data safe with automatic PII anonymization.
Your AI Tool
(Cursor, Claude)
MCP Server
(Anonymizes PII)
AI Processes
(Safe data only)
Restore Values
(Optional)
The MCP Server acts as a privacy shield between your AI tools and sensitive data. It automatically detects and anonymizes PII before sending to AI, then restores original values in responses—ensuring AI never sees your real data.
Seamless AI Tool Integration
Works with Cursor, Claude Desktop, and other MCP-compatible tools
Privacy-First Architecture
AI processes anonymized data only—original PII never leaves your control
Reversible Anonymization
Tokenization allows you to restore original values when needed
Same Token Pricing
Uses your existing token balance—no additional cost
Supported AI Tools:
Available on Pro and Business plans. Upgrade to unlock.
Process Documents Securely
Maximum privacy with secure file handling. Documents stay on your device — only extracted text is sent for analysis.
Drag & Drop
(Your files)
Local Processing
(On your device)
Analyze & Anonymize
(Text only)
Save Result
(Stay local)
The Desktop App processes documents entirely on your device. Files are read locally, only the extracted text is sent for analysis, and your documents stay private.
Secure File Handling
Documents stay on your computer — only extracted text is sent to our secure API
Encrypted Local Storage
History, presets, and encryption keys stored in your encrypted local vault
Drag & Drop Interface
Simple, intuitive workflow—drag files and get results instantly
Multiple Formats
PDF, DOCX, TXT, and more—process any document type
Available for:
Detect names, emails, phone numbers, credit cards, SSNs, IBANs, IP addresses, and more across multiple categories.
Full support for 48 languages including English, German, Spanish, French, and 43 more with RTL support for Arabic, Hebrew, Persian, and Urdu. Powered by spaCy, Stanza, and XLM-RoBERTa NLP engines.
Replace, Redact, Hash (SHA-256), Encrypt (AES-256-GCM), or Mask—choose the protection method that fits your use case.
Enterprise-grade reliability with monitoring, automated backups, and incident response procedures.
Free Compliance & Security Guides
Download expert resources to help your organization protect sensitive data and meet conformance requirements.
See It in Action
Watch how anonym.legal protects sensitive data in real-time across your favorite tools.
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
Ready to Protect Your Data?
Start with our free tier—200 tokens per cycle, no credit card required.
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.