Masking
Partially hiding or replacing a visible value.
🔒 Files stay on your device
Detect and hide data before sharing it
Mask contacts, identifiers, accounts, IP addresses, tokens and names. Review each match, apply consistent pseudonyms and download a safer copy.
No accountNo content uploadsSecond scan of output
John Smith sent a message from john@example.com.
After replacement:
[PERSON_1] sent a message from [EMAIL_1].
Input
● localChoose a file
Drop a file or clickTXT, CSV, JSON, XML, HTML, MD, SRT, VTT, DOCX, XLSX, PPTX, PDF
Output
Second scan
Map
0 consistent replacements in this session.
Supporting re-identification risk assessment
The answers do not create a legal certificate. They help review record isolation, linkage and inference.
Encrypted pseudonym map
The map contains original values. Store it separately from pseudonymized data and protect it with a strong password.
Supporting k-anonymity check
Paste CSV or TSV into the main editor, then enter quasi-identifier column names. A k result does not prove anonymization.
Core workflows
One engine, multiple profiles and real file formats.
Text for AI
Remove customer data and secrets before pasting.
Tabular data
Consistent pseudonyms and a supporting k-anonymity check.
Office documents
Local processing of DOCX, XLSX and PPTX packages.
Advertisement space
Masking is not always anonymization
Pseudonymized data may still relate to an identifiable person. Anonymity requires assessing record isolation, linkage to other sources and inference.
Pseudonymization
A consistent replacement that may be linked through a map.
Anonymity assessment
Reviewing context, recipients and realistic identification means.
Privacy guides
Practical instructions without claims of automatic legal compliance.