By George Curta · Last updated 2026-06-05
在 Word、Excel 和 PowerPoint 中匿名化
在您已经工作的地方工作。我们的原生 Office 加载项将 PII 检测和匿名化直接带入 Microsoft Word、Excel 和 PowerPoint。
在所有 Office 应用中工作
一个加载项适用于您所有的 Microsoft Office 应用程序。Word、Excel 和 PowerPoint 中的完整功能对等。
Microsoft Word
Documents, contracts, reports
Microsoft Excel
Spreadsheets, data tables, CSV
Microsoft PowerPoint
Presentations, slides, notes
主要好处
就地工作
无需复制粘贴。在您的 Word 文档中直接匿名化，无需切换应用。
保留格式
所有格式、样式、字体和文档结构在匿名化后保持完整。
安全处理
您的文档始终在您的控制之下。处理通过我们的加密 API 安全进行。
插件功能
PII 检测
- 实时 PII 高亮显示，随您输入
- 支持 50 多种实体类型（姓名、电子邮件、电话等）
- 多语言检测（48 种语言）
- 针对您特定需求的自定义实体识别
匿名化方法
- 5种匿名化方法：替换、掩码、编辑、哈希 (SHA-256)、加密 (AES-256-GCM)
- 使用个人加密密钥的可逆加密
- 按实体的运算符配置（每种实体类型使用不同方法）
- 整个文档中的一致替换
高级功能
预览模式
在匿名化之前审查检测到的实体。并排比较显示原文与匿名化文本及置信度分数。
预设
保存并重用您的匿名化设置。为不同工作流创建包含特定实体类型、方法和操作符的预设。
可逆加密
使用 AES-256-GCM 对 PII 进行加密并在之后解密。使用零知识架构安全地管理加密密钥。
按实体的操作符
为每种实体类型配置不同的匿名化方法。对姓名进行哈希、对电子邮件进行加密、对电话号码进行掩码——一次完成所有操作。
恢复与解密
解密先前加密的文本或恢复原始值。专用的“恢复”选项卡便于去匿名化。
48 种语言
提供完整的多语言支持，包括阿拉伯语、希伯来语、中文、日语和韩语。完全支持 RTL 语言。
系统要求
与所有现代版本的 Microsoft Word 兼容。
支持的平台
- • Microsoft Word 2016+（Windows 和 Mac）
- • Microsoft Excel 2016+（Windows 和 Mac）
- • Microsoft PowerPoint 2016+（Windows 和 Mac）
- • Office Online（Word、Excel、PowerPoint）
- • iPad/iPhone 版 Office
您需要的
- • anonym.legal 帐户（免费或付费）
- • 用于 API 访问的互联网连接
- • Microsoft 365 订阅或独立 Word 许可证
常见问题
支持哪些 Office 应用程序？
Microsoft Word、Excel 和 PowerPoint — 全部具备完整功能。适用于 Windows 和 Mac (2016+)、Office Online (Microsoft 365) 以及 iPad/iPhone 版 Office。
Office 加载项是否保留文档格式？
是的。「保留格式」选项在匿名化时保持所有格式（粗体、斜体、下划线、字体、颜色、样式）。仅替换文本内容 — 文档结构保持不变。
我可以对不同的实体类型使用不同的匿名化方法吗？
可以。按实体运算符允许您在单次处理中为每种实体类型配置不同的方法。例如：对姓名进行哈希处理 (SHA-256)、加密电子邮件 (AES-256-GCM)、屏蔽电话号码和编辑 SSNs — 全部在一次操作中完成。
什么是预览模式？
预览模式在应用更改之前显示原始文本与匿名化文本的并排比较。每个检测到的实体都会显示其置信度分数。您可以选择要匿名化的实体、内联更改方法并切换语言 — 所有这些都在确认更改之前完成。
我可以保存并重用匿名化设置吗？
可以。模板允许您保存包括语言、实体类型、按实体运算符和分数阈值在内的配置。模板通过您的账户在设备之间同步。
From the Blog
View all articlesCross-Application PII: Word, Chrome, and AI
Customer data flows from browser research to Word drafts to Claude prompts. Each context switch is a potential leakage point.
Internal Wiki PII: Confluence Customer Data
Support teams document processes with screenshots of customer accounts. Over 3 years, that's thousands of GDPR data minimization violations in your.
Handwritten Form OCR & PII Detection
A mid-size hospital processes 50,000 handwritten intake forms per year. Manual PII redaction at this volume requires 0.5 FTE.
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.