In previous tutorials, we’ve used Python’s Pillow Library to do everything from editing and post-processing to removing noise from and adding location data to photos. In this tutorial, we’re going to use Python to add EXIF data to a series of images. Because of these restrictions, Python is one of the few tools that can edit EXIF data both for free and without restrictions. Many are free.ĭo be aware that while many EXIF editors advertise themselves as free, they often come with heavy restrictions if you don’t want to pay for the full software.

EXIF Editors are available for all operating systems, including iOS and Android.Photo editors and organizers such as Adobe Lightroom.

They all support bulk editing, so it doesn’t matter whether you’re updating one photo or a million. Thankfully, there are numerous tools available so you can edit your photos’ EXIF data. Without fully-populated EXIF data, your images won’t be returned in their searches, and you won’t make any sales as a result. They use the EXIF data embedded in your images to return the most relevant images in search results. For example, let’s consider stock photography websites. If you’re planning to sell your photography in any way, shape, or form, you better have fully populated EXIF data. Maintaining Fully-Populated EXIF Data Makes Browsing and Searching Your Photo Library a Breeze

Add or update your contact info and/or copyright information.

Add or update titles, descriptions, and captions.

Add location data or geotag images for cameras that don’t have GPS.

Strip out sensitive information when you post photos publicly on the web.

In my nearly two decades doing photography, here are some of the more common reasons I’ve had to edit EXIF data. Regardless of whether you need to add or remove EXIF data, there are plenty of reasons to edit it.

Software Used to Post-Process the Image.

Location and Elevation Where the Photo was Taken.

Exposure Settings (Aperture, Shutter, ISO, etc).

File Name and Location on Your Computer.

Photo exif editor online