Mask local data with explicit rules.
Select CSV, TSV or JSON files, choose exact columns or JSON pointers, then remove, replace or tokenize matching values consistently across the batch.
CSV / TSV / JSON
20 files
60 MiB batch
PBKDF2 + HMAC
Inspect, select, then mask
No field is guessed. You must add every column or pointer that should change.
Source data files
Up to 20 UTF-8 files, 20 MiB each and 60 MiB total. Originals are never changed.
No files selected.
Add an explicit rule
Rules to apply
Remove and re-add a rule if you need to change it.
| Selector | Action | Empty values | Edit |
|---|
Selected data and the passphrase are processed in this page and are not sent to a WebRynx application endpoint. Reusing the same recipe salt and passphrase reproduces tokens; losing the passphrase cannot be undone by WebRynx.
Your masked package will appear here.
Inspect files, add at least one explicit rule and enter a passphrase.
Masked package ready
The originals remain untouched. Check the receipt and sample the outputs before sharing them.
Run notes
- Masking reduces exposure; it does not prove that a dataset is anonymous.
- CSV formula-like cells are escaped in outputs to reduce spreadsheet formula-execution risk.
- Removing an array item writes null so later JSON indexes do not shift.