By George Curta · Last updated 2026-04-27
Anonymize in Word, Excel & PowerPoint
Work where you already are. Our native Office add-in brings PII detection and anonymization directly into Microsoft Word, Excel, and PowerPoint.
Works in All Office Apps
One add-in for all your Microsoft Office applications. Full feature parity across Word, Excel, and PowerPoint.
Microsoft Word
Documents, contracts, reports
Microsoft Excel
Spreadsheets, data tables, CSV
Microsoft PowerPoint
Presentations, slides, notes
Key Benefits
Work In-Place
No copy-paste needed. Anonymize directly in your Office documents without switching apps.
Preserve Formatting
All formatting, styles, fonts, and document structure remain intact after anonymization.
Secure Processing
Your documents never leave your control. Processing happens securely via our encrypted API.
Zero-Knowledge Login
Your password never leaves your device. Our Zero-Knowledge authentication keeps you protected.
Learn about Zero-Knowledge SecurityCore Features
PII Detection
- Detect 285+ entity types (names, emails, SSN, IBAN, credit cards, etc.)
- Hybrid detection: regex patterns + NLP for maximum accuracy
- Multi-language support (48 languages including RTL)
- Custom entity recognition with regex or deny lists
Anonymization Methods
- 5 anonymization methods: Replace, Mask, Redact, Hash (SHA-256), Encrypt (AES-256-GCM)
- Reversible encryption with personal encryption keys
- Per-entity operator configuration (different methods per entity type)
- Consistent replacements across the entire document
Advanced Features
Preview Mode
Review detected entities before anonymizing. Side-by-side comparison shows original vs. anonymized text with confidence scores.
Presets
Save and reuse your anonymization settings. Create presets with specific entity types, methods, and operators for different workflows.
Reversible Encryption
Encrypt PII with AES-256-GCM and decrypt later. Manage encryption keys securely with zero-knowledge architecture.
Per-Entity Operators
Configure different anonymization methods for each entity type. Hash names, encrypt emails, mask phone numbers—all in one pass.
Restore & Decrypt
Decrypt previously encrypted text or restore original values. Dedicated Restore tab for easy deanonymization.
48 Languages
Full multi-language support including Arabic, Hebrew, Chinese, Japanese, and Korean. RTL languages fully supported.
System Requirements
Compatible with all modern versions of Microsoft Office.
Supported Platforms
- • Microsoft Word 2016+ (Windows & Mac)
- • Microsoft Excel 2016+ (Windows & Mac)
- • Microsoft PowerPoint 2016+ (Windows & Mac)
- • Office Online (Word, Excel, PowerPoint)
- • Office for iPad/iPhone
What You Need
- • anonym.legal account (free or paid)
- • Internet connection for API access
- • Microsoft 365 subscription or standalone Office license
Frequently Asked Questions
Which Office applications does the add-in support?
Microsoft Word, Excel, and PowerPoint — all with full feature parity. Works on Windows and Mac (2016+), Office Online (Microsoft 365), and Office for iPad/iPhone.
Does the Office Add-in preserve document formatting?
Yes. The Preserve Formatting option maintains all formatting (bold, italic, underline, fonts, colors, styles) when anonymizing. Only the text content is replaced — document structure remains intact.
Can I use different anonymization methods for different entity types?
Yes. Per-entity operators let you configure different methods for each entity type in a single pass. For example: hash names (SHA-256), encrypt emails (AES-256-GCM), mask phone numbers, and redact SSNs — all in one operation.
What is the Add-in Preview Mode?
Preview Mode shows a side-by-side comparison of original vs. anonymized text before applying changes. Each detected entity displays with its confidence score. You can select which entities to anonymize, change methods inline, and switch languages — all before committing changes.
Can I save and reuse anonymization settings?
Yes. Presets let you save configurations including language, entity types, per-entity operators, and score thresholds. Presets sync across devices via your account.
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.
Get Started with Office Add-in
Free for all plans. Install in under a minute.
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.