实际演示
观看 anonym.legal 如何在您的所有工具中保护敏感数据。

PII检测
检测超过50种实体类型,包括姓名、电子邮件、电话号码、信用卡、社会安全号码、国际银行账户号码、IP地址等,涵盖多个类别。
- 超过50种实体类型
- 基于模式的检测
- 置信度评分
- 自定义实体支持
匿名化方法
从5种经过验证的匿名化方法中选择:替换、删除、哈希(SHA-256)、加密(AES-256-GCM)或部分掩码,以满足您的合规要求。
- 用虚假数据替换
- 完全删除
- 使用SHA-256哈希
- 使用AES-256-GCM加密
- 部分掩码
多语言支持
全面支持48种语言,具有智能NLP处理。包括阿拉伯语、希伯来语、波斯语和乌尔都语的RTL支持。
- 支持48种语言
- 4种RTL语言(阿拉伯语、希伯来语、波斯语、乌尔都语)
- 语言自动检测
- 混合语言文档
- 懒加载NLP模型
MCP服务器
本地Claude桌面集成加上Cursor和VS Code的HTTP支持。6个操作符,实体组,个人加密密钥。
- 适用于Claude Desktop和Cursor
- 6个操作符(加密、哈希、掩码等)
- 实体组和模板
- 个人加密密钥
Office 加载项
直接在 Microsoft Word、Excel 和 PowerPoint 中匿名化文档。285+ 种实体类型、5 种方法、预览模式和预设。
- Word、Excel 和 PowerPoint
- 285+ 种实体类型
- 5 种匿名化方法
- 预览和预设
桌面应用
在使用云端实体检测的同时,将文档保留在您的设备上。仅提取的文本会发送进行分析。
- 文档保留在您的设备上
- 军用级别的保险库加密
- 加密的本地历史记录
- Windows, macOS, Linux
Chrome 扩展
在使用 ChatGPT、Claude 和 Gemini 时保护您的隐私。在将消息发送给 AI 聊天机器人之前,自动检测并匿名化 PII。
- 支持 ChatGPT、Claude、Gemini
- 实时 PII 拦截
- 响应中的去匿名化
- 企业部署就绪
为什么选择anonym.legal?
可信赖的透明、可审计结果,用于监管合规
我们的方法:混合检测
- 结构化数据的Regex(电子邮件、SSN、信用卡)
- 姓名和组织的经过验证的ML模型
- 完全可审计以符合合规要求
- 透明的模式匹配
- 快速、一致的性能
生成式AI解决方案
- ⚠️结果在不同运行之间变化
- ⚠️黑箱决策
- ⚠️需要训练数据
- ⚠️模型随时间漂移
- ⚠️更高的计算成本
Frequently Asked Questions
How many entity types does anonym.legal detect?
anonym.legal detects 285+ entity types including names, addresses, phone numbers, emails, SSNs, credit cards, IBANs, medical record numbers, and many more. All entity types support checksum validation where applicable.
What languages are supported for PII detection?
We support 48 languages including English, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Russian, Chinese, Japanese, Korean, Arabic, Hebrew, and many more. Each language has optimized NER models.
What anonymization methods are available?
Five methods: Replace (with placeholder), Mask (partial hiding), Hash (SHA-256/SHA-512), Encrypt (AES-256-GCM reversible), and Redact (complete removal). Each entity can use a different method.
Can I use anonym.legal offline?
The Desktop App allows local file handling, but PII detection requires an internet connection to our secure API. For fully air-gapped environments, contact us about on-premise deployment.
Is there an API for developers?
Yes! We offer a REST API and an MCP Server for AI tool integration. The API supports analyze, anonymize, and batch processing endpoints. See our API documentation for details.
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.