When I edit photos, I often notice that many of them contain EXIF and XMP metadata, such as the camera brand, ISO, aperture, and even GPS location information.
Not only do they increase the file size of images and slow down page loading, but they may also raise privacy concerns. This is a small tool that can batch-delete EXIF data from images, serving as a lightweight local image privacy cleaner.
👉 Project Address:https://github.com/cheng01315/Image-Information-Eraser-Tool
1. What is included in this metadata?
1.1 EXIF typically contains
- Camera Model, Manufacturer
- Shooting Time, Resolution
- Aperture, ISO, Shutter Speed
- GPS Location Information
- Edit Software Name
1.2 XMP typically includes
- Author and Copyright Information
- Image description, keywords
- Color Scheme
After compression, images are typically reduced in size by a few KB to several dozen KB, which helps optimize images on independent websites and speed up page loading times.
2. Features and Functions
- 🔍 Check Metadata – Automatically scan EXIF / XMP
- 🗑️ One-Click Cleanup – Safely remove all hidden attributes
- 🔒 Privacy Protection – Remove information about the camera, time, and location
- 📷 Batch Processing – Supports JPG, PNG, WebP, and other formats
- 💡 Free and open source – No payment required, and no need to upload to someone else's server
3. Instructions for Use
Method 1: Run directly .exe(Recommended)
- Insert image
inputFolder - Double-click
Information Eraser.exe - View Metadata Tips → Enter
yConfirm Deletion - The processed images are in
outputFolder
Method 2: Run the Python source code
pip install Pillow
python "Information Eraser.py"
4. Project Structure
Image Information Eraser Tool/
├── input/ # Images to be processed
├── output/ # Images with metadata removed
├── Information Eraser.exe
├── Information Eraser.py
└── README.md
5. Quick Tip
- The program only reads
inputFor the images in this post, it’s best to save a copy of the original photo before editing (just in case you want to know when it was taken later on? 😉) - If Chinese characters appear as garbled text in the command line, first run
chcp 65001Run again - Need to batch-process a few hundred images? No problem—it runs pretty fast.
6. Technology Stack
Python 3 + Pillow + PyInstaller
