This setup process assumes you have Python 3 available on a Unix or Unix-like system (MacOS, Linux, or BSD)

git clone https://github.com/seisvelas/S3-Exif-Cleaner.git && cd S3-Exif-Cleaner
pip3 install -r requirements.txt

Note: Pillow dependency breaks on Apple Silicon, to make it work follow the instructions here: python-pillow/Pillow#5093

If you don't already have your aws credentials configured in $HOME/.aws/credentials, then you will need either enter them there, or put them in a .env file in this directory and make them available by running the remaining instructions:

mv .env.example .env

Now put your AWS information into .env (API_KEY_AWS_S3_ID & API_KEY_AWS_S3_SECRET) and run source .env

That's it, you're ready to start!

alex@mac s3_exif_cleanser % python s3_cleanse.py -h
usage: s3_cleanse.py [-h] [-b BUCKET] [-p PREFIX]

optional arguments:
  -h, --help            show this help message and exit
  -b BUCKET, --bucket BUCKET
                        Name of S3 bucket
  -p PREFIX, --prefix PREFIX
                        (optional) Only wash images starting with this prefix

Let's say you want to wash images in a bucket called myBusiness, but only wanted to wash images in the embarassingPhotos/ prefix. In that case, you'd invoke s3_exif_cleanser like so:

alex@mac s3_exif_cleanser % python3 s3_cleanse.py -b myBusiness -p 'embarassingPhotos'
Cleansing EXIF data on: embarassingPhotos/me_in_jamaica.jpg
Cleansing EXIF data on: embarassingPhotos/forgot_my_shirt_lol.jpg
Done! 2 images scrubbed.

Viola! The images are now EXIF free.