AI detection
Local AI finds QR codes and related evidence in PDFs to stop identifier leaks when you publish.
A QR code can point to personal records, tokenized URLs or verifications that re-identify people. The QR detector helps find these elements in the PDF so you redact them before distribution.
Use it with dates, addresses and amounts when the document mixes text and graphic marks. On scans of badges or tickets, combine with OCR in the anonymization flow. We do not promote a specialized ID-card OCR UI or handwritten-signature/face detection.
EU processing under the same patterns, word sets and human review framework. No external LLM APIs.
In PDF anonymization in the app.
Confirm codes to redact; whitelist an institutional QR if it must remain.
Document ready without code-based leaks.
Tickets with nominal QR codes.
Labels and delivery notes with codes.
Notices with QR verification.
Publish without tracking vectors.
Codes are compact identifiers—catch them before they leave the perimeter.
URLs and payloads hidden in the code.
Pages are not sent to external LLMs.
With dates, addresses and amounts.
You confirm which QR must remain.
Remove accreditation QR codes.
Hide nominal payment QR codes.
Strip tracking codes.
OCR + QR redaction.
The goal is to locate and enable redacting the code on the document; review the visual result.
We do not promote that detector.
We do not promote a specialized ID OCR UI.
Not part of this offering.
Yes.
https://app.anonimatum.com