By George Curta · Last updated 2026-07-24
快速参考
支持的应用
- LibreOffice Writer（完整文本 + 格式）
- LibreOffice Calc（基于单元格的处理）
- LibreOffice Impress（幻灯片文本对象）
系统要求
- LibreOffice 3.0 或更高版本
- Python 3 运行时
- 需要互联网连接
- anonym.legal 账户（提供免费套餐）
支持的平台
- Windows
- macOS
- Linux
语言
- 支持 48 种语言的 PII 检测
- 48 种界面语言
- 267 种以上实体类型
- 自动语言检测
安全性
- 零知识身份验证
- XChaCha20-Poly1305 密钥封装
- AES-256-GCM 加密
- Argon2id 密钥派生（64 MB，3 次迭代）
加密密钥
- ZK 封装服务器存储
- 从已保存密钥自动加载
- 按实体分配密钥
- 会话持久化至退出登录
跨设备同步
- 预设自动同步
- 自定义实体跨设备同步
- 加密密钥（ZK 封装）
- 5 分钟同步间隔
匿名化方法
- 替换——类型化单位（<PERSON_1>）
- 遮蔽——部分字符遮蔽（****）
- 删除——永久删除（[REDACTED]）
- 哈希——SHA-256 单向哈希
- 加密——AES-256-GCM 可逆加密
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
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 company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.
Hetzner holds 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.