By George Curta · Last updated 2026-04-07
Pengesanan PII: 285+ Jenis Entiti
Enjin pengesanan berasaskan regex kami mengenal pasti lebih 285 jenis maklumat peribadi dengan ketepatan berasaskan corak. Input yang sama, output yang sama - setiap kali.
Cara Pengesanan Berfungsi
Padanan Corak
Menggunakan corak regex yang direka dengan teliti untuk setiap jenis entiti, memastikan hasil yang konsisten dan boleh diramal di seluruh dokumen.
Skor Keyakinan
Setiap pengesanan termasuk skor keyakinan (0-1) berdasarkan kekuatan corak dan konteks, membantu anda menapis hasil.
Kesedaran Konteks
Konteks teks sekeliling meningkatkan ketepatan pengesanan, mengurangkan positif palsu sambil menangkap kes tepi.
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
Sokongan Entiti Khusus
Perlu mengesan corak khusus? Cipta jenis entiti anda sendiri dengan corak regex atau gunakan penjana corak dibantu AI kami.
Penciptaan Corak Manual
Tentukan corak regex untuk pengenal proprietari seperti ID pekerja dalaman, kod projek, atau nombor rujukan khusus.
Penjana Corak AI
Huraikan apa yang anda ingin kesan dalam bahasa biasa, dan AI kami menjana corak regex yang dioptimumkan untuk anda.
Mulakan Mengesan PII Hari Ini
Cuba enjin pengesanan kami secara percuma dengan 200 token setiap kitaran. Tiada kad kredit diperlukan.
Cipta Akaun PercumaAbout 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.