Local image privacy masking — detect and redact sensitive info (IDs, phones, keys, etc.) before images leave your machine.
Project description
privacy-mask
Detect and redact sensitive information in images — 100% local, 100% offline.
Your images never leave your machine. privacy-mask intercepts screenshots before they are sent to AI services, automatically detecting and masking phone numbers, ID cards, API keys, and 40+ other sensitive patterns.
Before / After
| Original | Masked |
|---|---|
Why?
When you share screenshots with AI assistants, you might accidentally expose:
- Personal IDs — national ID numbers, passports, social security numbers
- Phone numbers & emails — yours or your users'
- API keys & tokens — AWS, GitHub, Stripe, database credentials
- Financial data — bank card numbers, IBAN codes
Cloud-based redaction services require uploading your images — defeating the purpose. privacy-mask processes everything locally before any data leaves your machine, making it the only approach that truly protects your privacy.
This matters for compliance too: GDPR, HIPAA, and other regulations require that sensitive data be protected at the point of origin.
Quick Start
# Install
pip install privacy-mask
# Mask a screenshot
privacy-mask mask screenshot.png
# One-time setup: auto-mask all images before AI upload
privacy-mask install
That's it. After privacy-mask install, every image you share with your AI coding assistant is automatically masked before upload.
Agent Integration
privacy-mask follows the agentskills.io SKILL.md standard and works with 20+ AI coding tools that run locally:
| Platform | How it works |
|---|---|
| Claude Code | Hook auto-masks images before upload |
| Cursor | SKILL.md auto-detected in project |
| VS Code Copilot | SKILL.md auto-detected in project |
| Gemini CLI | SKILL.md auto-detected in project |
| OpenHands | CLI available via shell |
| Goose | SKILL.md auto-detected |
| Roo Code | SKILL.md auto-detected |
| aider | CLI available via shell |
| Cline | SKILL.md auto-detected |
| Windsurf | SKILL.md auto-detected |
| OpenClaw | SKILL.md auto-detected |
Note: privacy-mask only works with local agents. Web-based AI (ChatGPT Web, Gemini Web) uploads images to cloud servers before processing — local masking cannot help there. This tool is designed for agents that run on your machine.
What It Detects
47 regex rules covering 15+ countries:
| Category | Rules |
|---|---|
| IDs | Chinese ID card & passport, HK/TW ID, US SSN, UK NINO, Canadian SIN, Indian Aadhaar & PAN, Korean RRN, Singapore NRIC, Malaysian IC |
| Phone | Chinese mobile & landline, US phone, international (+prefix) |
| Financial | Bank card (UnionPay/Visa/MC), Amex, IBAN, SWIFT/BIC |
| Developer Keys | AWS access key, GitHub token, Slack token, Google API key, Stripe key, JWT, database connection strings, generic API keys, SSH/PEM private keys |
| Crypto | Bitcoin address (legacy + bech32), Ethereum address |
| Other | Email, birthday, IPv4/IPv6, MAC address, UUID, Chinese license plate, passport MRZ, URL auth tokens, WeChat/QQ IDs |
How It Works
┌──────────┐ ┌───────────┐ ┌──────────┐ ┌──────────────┐
│ Image │────▶│ OCR │────▶│ Detect │────▶│ Mask │
│ Input │ │ Tesseract │ │ 47 Regex │ │ Blur / Fill │
│ │ │ + Rapid │ │ Rules │ │ │
└──────────┘ └───────────┘ └──────────┘ └──────────────┘
Extract text Match patterns Redact regions
+ bounding boxes with positions in original image
-
OCR — Dual-engine: Tesseract + RapidOCR extract text with bounding boxes. Multi-strategy preprocessing (grayscale, binarization, contrast enhancement) with confidence-based merge for maximum accuracy.
-
Detect — 47 compiled regex rules scan OCR results. Overlapping detections on nearby bounding boxes are merged automatically.
-
Mask — Matched regions are blurred (default) or filled with solid color. Output is saved as a new file or overwrites the original.
CLI Usage
# Basic: mask → screenshot_masked.png
privacy-mask mask screenshot.png
# Overwrite original
privacy-mask mask screenshot.png --in-place
# Detection only, no masking
privacy-mask mask screenshot.png --dry-run
# Black fill instead of blur
privacy-mask mask screenshot.png --method fill
# Custom config
privacy-mask mask screenshot.png --config my_rules.json
# Output path
privacy-mask mask screenshot.png -o /tmp/safe.png
Output is JSON:
{
"status": "success",
"input": "screenshot.png",
"output": "screenshot_masked.png",
"detections": [
{"label": "PHONE_CN", "text": "***", "bbox": [10, 20, 100, 30]},
{"label": "EMAIL", "text": "***", "bbox": [10, 50, 200, 30]}
],
"summary": "Masked 2 regions: 1 PHONE_CN, 1 EMAIL"
}
Configuration
Rules are defined in config.json. You can pass a custom config:
privacy-mask mask image.png --config my_config.json
Each rule has a name, pattern (regex), and optional flags. Example:
{
"rules": [
{
"name": "MY_CUSTOM_ID",
"pattern": "CUSTOM-\\d{8}",
"flags": ["IGNORECASE"]
}
]
}
See the bundled config.json for all 47 rules.
Requirements
- Python 3.10+
- Tesseract OCR
- macOS:
brew install tesseract - Ubuntu:
sudo apt install tesseract-ocr - Windows: Download installer
- macOS:
Contributing
Contributions are welcome! Here's how you can help:
- Add detection rules — submit new regex patterns for your country's ID format
- Improve OCR accuracy — better preprocessing strategies
- Report false positives — help us tune regex patterns
- Add tests — currently 174 tests, always room for more
# Run tests
pip install -e .
python -m pytest tests/ -v
License
MIT
🇨🇳 中文说明
privacy-mask — 本地图片隐私打码工具
在截图发送给 AI 助手之前,自动检测并遮盖敏感信息。100% 本地处理,数据不出本机。
特性
- 47 条正则规则,覆盖 15+ 国家的证件、电话、银行卡、开发者密钥等
- 双 OCR 引擎(Tesseract + RapidOCR),多策略预处理,置信度融合
- 一键安装:
pip install privacy-mask && privacy-mask install - 兼容 20+ AI 编程工具:Claude Code、Cursor、VS Code Copilot、Gemini CLI 等
- 支持模糊和填充两种打码方式
- 自定义规则配置
快速开始
pip install privacy-mask
privacy-mask mask screenshot.png # 打码
privacy-mask mask screenshot.png --dry-run # 仅检测
privacy-mask install # 安装全局钩子,自动打码
为什么选择本地打码?
云端脱敏工具需要上传你的图片——这本身就违背了隐私保护的初衷。privacy-mask 在图片离开你的电脑之前就完成打码,是真正保护隐私的唯一方案。
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