After importing files, the program will extract Exif properties from images. Supports batch importing images and batch extracting Exif property values.
1. Click to Select Files: Click on the file import area above to select image files for which you want to get Exif properties.
2. Program Automatically Extracts Exif Properties: After selecting files, the program will automatically read and parse the Exif information.
3. View and Export Exif Properties in File List: View Exif information in the file list below, and you can copy, download or batch export.
How to batch get Exif properties of multiple images?
Drag multiple photo files to the file import area to quickly get Exif properties of multiple images. When selecting files, press Ctrl to quickly select multiple files, which can also quickly import multiple files.
Tip: The program extracts Exif properties locally, image files will not be uploaded to the server, no privacy leakage.
| Function | Supported | Description |
|---|---|---|
| Batch Extract Exif Properties | â | Can import multiple photo files at once to batch extract Exif properties |
| Secure, No Privacy Leakage | â | Does not upload files to server, pure browser offline processing (after loading webpage), local algorithm to extract Exif properties |
| Beginner Friendly | â | This is an online web-based Exif extraction tool, even beginners can export Exif properties without installing python or other programming environments |
| Works on Mobile and Desktop | â | Online tool, responsive design, works on iPhone, Android phones and computers, no need to install apps or exe files |
| Supports Multiple Image Formats | â | Supports Exif information reading of mainstream image formats such as JPEG, PNG, TIFF |
| Export to Excel Format | â | Supports batch exporting Exif information to Excel files for easy data analysis and archiving |
| Real-time Exif Preview | â | Displays main Exif information in real-time in the file list, allowing quick viewing without additional operations |
{{ JSON.stringify(currentExifData, null, 2) }}