Payroll audit file redaction is the removal of personal identifiers from a wage review set kept to evidence the Working Time Regulations 1998 and the National Minimum Wage Act 1998. Those rules govern the records a reviewer may inspect. anonym.plus marks each name and number on your device, so the figures stay useful while staff data is shielded.
When this applies
Such a set bundles registers, slips, and time records full of identifiers. You strip those before the bundle reaches an outside reviewer.
How anonym.plus handles it
- Point anonym.plus at the review folder on your device.
- Local OCR reads any scanned pages in the set.
- The tool flags names, NI numbers, and amounts.
- A shared map keeps repeat workers steady.
- Check the summary and fix low-confidence flags.
- Save the clean set locally.
What you need to provide
- A folder of files (PDF, XLSX, mixed).
- The shared map turned on for steady results.
- An operator (Replace works well for a bundle).
PII entity types detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Names | PERSON | worker across files → [STAFF_1] |
| Identifiers | UK_NINO | NI numbers → [NINO] |
| Financial | MONEY | amounts → [AMOUNT] |
| Financial | UK_SORT_CODE | sort codes → [SORT] |
| Dates | DATE_TIME | periods → [DATE] |
| Location | LOCATION | sites → [SITE] |
Compliance achieved
- Supports the records duty under the Working Time Regs 1998 and the National Minimum Wage Act 1998.
- A shared map keeps results steady across the bundle.
- Batch up to 20 files per run, all offline.
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Limitations & cautions
A mixed bundle of scans and native files leans on OCR for images, so review low-confidence flags. The shared map can re-link the set if kept; turn it off for true anonymity.
Frequently asked questions
How does the bundle stay consistent?
A shared map logs each worker once. So the same person maps to the same alias across every file in the set.
How many files can one run handle?
Up to 20 per batch, all processed locally with OCR for scans.
Is the bundle uploaded?
No. The whole run is offline, so the data stays on your device.