AI detection
Local AI finds dates in multiple formats inside the PDF so you can review and redact before publishing.
Dates can re-identify people when crossed with public facts or internal calendars. Anonimatum’s date detector scans the PDF for diverse formats (numeric, textual, mixed) so you choose what to hide.
It combines with patterns, word sets and whitelist: keep public contractual milestones and redact birth dates or clinical appointments. Processing is European and does not use external LLM APIs.
On scans, enable OCR in anonymization or prepare the PDF with searchable text. Pair this detector with addresses, amounts and QR for a full minimization pass.
In the app, enable the date detector.
Keep public milestones via whitelist if applicable.
Export the minimized PDF in the EU.
Reports with clinical dates.
Employment timelines and appointments.
Chronologies with sensitive milestones.
Publish without personal agendas.
Dates as quasi-identifiers, handled with local AI and human review.
Not only DD/MM/YYYY.
Whitelist dates to keep.
Useful after scans.
With addresses, amounts and QR.
Remove re-identifying dates.
Minimize sensitive calendars.
Hide personal dates in annexes.
Publish without personal chronology.
It flags candidates; you review before redacting.
Yes, with OCR in the flow or searchable PDF first.
Yes, via whitelist / review.
Not promoted.
EU.
Addresses, amounts and QR are active.