By George Curta · Last updated 2026-04-07
替换
用保持文档可读性的逼真虚假数据替代检测到的PII。
最佳用途：
- 测试环境
- 演示数据生成
- 训练数据集
- 文档共享
示例
删除
完全从文档中删除PII，用[已删除]等占位符替代。
最佳用途：
- 法律文件
- 信息自由法请求
- 公共记录
- 法院文件
示例
哈希（SHA-256）
单向加密哈希，允许在文档之间进行一致的假名化。
最佳用途：
- 研究数据
- 分析
- 跨文档链接
- 假名化
示例
加密（AES-256-GCM）
可逆加密，允许授权用户使用正确的密钥恢复原始数据。
最佳用途：
- 临时匿名化
- 数据恢复需求
- 审计要求
- 可逆工作流程
示例
掩码
部分模糊PII，同时保留一些字符以供参考。
最佳用途：
- 客户支持
- 验证显示
- 部分可见性需求
- 用户界面
示例
方法比较
| 方法 | 可逆 | 可链接 | 可读 | 最佳用途 |
|---|---|---|---|---|
| 替换 | 否 | 否 | 是 | 测试、演示 |
| 删除 | 否 | 否 | 部分 | 法律、公共记录 |
| 哈希（SHA-256） | 否 | 是 | 否 | 研究、分析 |
| 加密（AES-256-GCM） | 是 | 否 | 否 | 临时、审计 |
| 掩码 | 部分 | 否 | 部分 | 支持、用户界面显示 |
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.