Pengesanan & Anonimisasi PII Gred Perusahaan
Regex patterns for structured data, proven ML models for names. Transparent, auditable results on Hetzner's ISO 27001-certified servers in Germany.
Mengapa Pilih 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.
Ketahui tentang teknologi kami →Hetzner Germany, ISO 27001 Certified
Semua pemprosesan berlaku di pusat data yang disahkan ISO 27001 di Hetzner di Jerman. Data anda kekal di EU tanpa isu bidang kuasa yang mengejutkan.
Lihat butiran keselamatan →Harga Berasaskan Token yang Anda Fahami
Bayar untuk apa yang anda gunakan dengan sistem token yang telus. Tahap percuma termasuk 200 token (~15-18 halaman/bulan). Tiada yuran tersembunyi, tiada kejutan.
Lihat harga →Integrasi AI dengan Perlindungan Privasi
Sambungkan alat AI anda seperti Cursor dan Claude Desktop sambil memastikan data sensitif anda selamat dengan anonimisasi PII automatik.
Your AI Tool
(Cursor, Claude)
MCP Server
(Anonymizes PII)
AI Processes
(Safe data only)
Restore Values
(Optional)
Pelayan MCP bertindak sebagai pelindung privasi antara alat AI anda dan data sensitif. Ia secara automatik mengesan dan menganonimkan PII sebelum menghantarnya ke AI, kemudian memulihkan nilai asal dalam respons—memastikan AI tidak pernah melihat data sebenar anda.
Integrasi Alat AI Tanpa Gangguan
Bekerja dengan Cursor, Claude Desktop, dan alat yang serasi MCP yang lain
Arsitektur Utama Privasi
AI memproses data yang telah dianonimkan sahaja—PII asal tidak pernah meninggalkan kawalan anda
Anonimisasi Boleh Dipulihkan
Tokenisasi membolehkan anda memulihkan nilai asal apabila diperlukan
Harga Token yang Sama
Menggunakan baki token sedia ada anda—tiada kos tambahan
Alat AI yang Disokong:
Tersedia pada pelan Pro dan Perniagaan. Naik taraf untuk membuka kunci.
Proses Dokumen dengan Selamat
Privasi maksimum dengan pengendalian fail yang selamat. Dokumen kekal di peranti anda — hanya teks yang diekstrak dihantar untuk analisis.
Drag & Drop
(Your files)
Local Processing
(On your device)
Analyze & Anonymize
(Text only)
Save Result
(Stay local)
Aplikasi Desktop memproses dokumen sepenuhnya di peranti anda. Fail dibaca secara tempatan, hanya teks yang diekstrak dihantar untuk analisis, dan dokumen anda kekal peribadi.
Pengendalian Fail yang Selamat
Dokumen kekal di komputer anda — hanya teks yang diekstrak dihantar ke API selamat kami
Penyimpanan Tempatan yang Disulitkan
Sejarah, tetapan awal, dan kunci penyulitan disimpan dalam peti besi tempatan yang disulitkan
Antaramuka Seret & Lepas
Aliran kerja yang mudah dan intuitif—seret fail dan dapatkan hasil dengan segera
Pelbagai Format
PDF, DOCX, TXT, dan banyak lagi—proses sebarang jenis dokumen
Tersedia untuk:
Mengesan nama, emel, nombor telefon, kad kredit, SSN, IBAN, alamat IP, dan banyak lagi merentasi pelbagai kategori.
Sokongan penuh untuk 48 bahasa termasuk Inggeris, Jerman, Sepanyol, Perancis, dan 43 lagi dengan sokongan RTL untuk Arab, Ibrani, Parsi, dan Urdu. Dikuasakan oleh spaCy, Stanza, dan enjin NLP XLM-RoBERTa.
Gantikan, Redak, Hash (SHA-256), Enkripsi (AES-256-GCM), atau Mask—pilih kaedah perlindungan yang sesuai dengan kes penggunaan anda.
Keandalan gred perusahaan dengan pemantauan, sandaran automatik, dan prosedur respons insiden.
Panduan Pematuhan & Keselamatan Percuma
Muat turun sumber pakar untuk membantu organisasi anda melindungi data sensitif dan memenuhi keperluan pematuhan.
Lihat bagaimana ia berfungsi
Tonton bagaimana anonym.legal melindungi data sensitif secara masa nyata merentasi alat kegemaran anda.

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
Sedia untuk Melindungi Data Anda?
Mulakan dengan tahap percuma kami—200 token setiap kitaran, tanpa kad kredit diperlukan.
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.