| name | privacy-mask |
| description | Mask, redact, anonymize and censor sensitive information (PII) in screenshots and images โ phone numbers, emails, IDs, API keys, crypto wallets, credit cards, passwords, and more. Uses OCR (Tesseract + RapidOCR) with 47 regex rules and optional NER (GLiNER) to detect private data and... |
| risk | unknown |
| source | https://github.com/fullstackcrew-alpha/privacy-mask/tree/main/ |
| source_repo | fullstackcrew-alpha/privacy-mask |
| source_type | community |
| date_added | 2026-07-01T00:00:00.000Z |
| license | MIT |
| license_source | https://github.com/fullstackcrew-alpha/privacy-mask/blob/main/LICENSE |
Privacy Mask
Detect and mask sensitive information in images locally before they leave your machine.
Prerequisites
This skill requires the privacy-mask CLI to be pre-installed on the system.
If it is not available, inform the user that they need to install it first:
- Install via pip:
pip install privacy-mask
- Ensure Tesseract OCR is installed:
brew install tesseract (macOS) or apt install tesseract-ocr (Linux)
- Verify installation:
privacy-mask --version
- (Optional) Install NER support:
pip install privacy-mask[ner]
When to use
- User sends a screenshot or image file (
.png, .jpg, .jpeg, .bmp, .tiff) that may contain private data
- User mentions privacy, masking, redacting, or anonymizing
- You need to analyze an image but want to redact sensitive info first
- IF the user shares a screenshot for debugging, THEN run
privacy-mask mask <path> --dry-run first to check for PII
- IF detections are found, THEN mask the image before proceeding with analysis
Usage
Mask an image:
privacy-mask mask /path/to/screenshot.png
privacy-mask mask /path/to/screenshot.png --in-place
privacy-mask mask /path/to/screenshot.png --dry-run
privacy-mask mask /path/to/screenshot.png --detection-engine regex
privacy-mask mask /path/to/screenshot.png --config /path/to/custom-config.json
Output is JSON:
{
"status": "success",
"detections": [{"label": "PHONE_CN", "text": "***",
