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.
Inspect, select, then mask
No field is guessed. You must add every column or pointer that should change.
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.
Masked package ready
The originals remain untouched. The masked package is the file to share; sample its outputs first. Keep the receipt and the recipe private: the receipt holds hashes of the original files and the recipe holds the salt.
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.