AI detection
Anonymize addresses in PDF
Find addresses and location data in PDFs to meet minimization before sharing or publishing.
A postal address can identify a person or a vulnerable household. The address detector helps find streets, numbers, postal codes and typical phrasings in the PDF so you redact with judgment.
Use whitelist when you must keep a company’s public registered office and hide private homes. On scans, support the flow with OCR. Combine with dates, amounts and QR so collateral traces do not remain.
Everything runs on European infrastructure with patterns, word sets and local AI—no external LLM APIs and no deanonymization promises.
Flow
- 1
Enable the address detector
In PDF anonymization in the app.
- 2
Review and tune
Whitelist public HQs if applicable.
- 3
Redact and export
PDF ready to share with lower re-identification risk.
Covers
- AI address / location detector
- Local AI in the EU
- Patterns, word sets, whitelist and reverse
- Compatible with scan OCR
- Combinable with dates, amounts and QR
- Focused on GDPR minimization
- Human review first
- No external LLMs or deanonymization
Audiences
Municipalities
Planning files to publish.
Insurance
Claims with policyholder addresses.
Utilities
Contracts with supply points.
NGOs / social
Reports with sensitive locations.
Why detect addresses
Location as personal data: assisted detection and human decision.
Phrase coverage
Variety in how addresses are written.
GDPR minimization
Publish without unnecessary homes.
Practical whitelist
Keep public HQs.
Pack with other detectors
Dates, amounts, QR.
Cases
Transparency portal
Decisions without home addresses.
Third-party sharing
Minimized commercial reports.
Social housing
Hide people’s locations.
Logistics
Share routes without customer data.
FAQ
Spain only?
Tuned for common phrasings; always review output.
GPS coordinates in text?
Treat them as sensitive location during review.
Scans?
Yes, with OCR.
Faces on facade photos?
We do not promote a face detector.
EU?
Yes.
App?
https://app.anonimatum.com