Here’s an easy method to batch compress images on macOS. It involves Python and Tinify API by the way.Heads up, this method involves the usage of Python and Tinify API. If you’re looking for a native feature baked into macOS, this isn’t the right article for you.
Recently I migrated mighil.com to Jekyll from WordPress. I’ve already moved the images to the /images/ folder in my repo. The folder contained the original image archive I exported from WordPress. Compression was necessary.
I stumbled across a repo by @cnovel on GitHub, which made things easier. I signed up for Tinify’s Developer API. The developer account became active and production-ready right after subscribing. They’ll ask for email, but verification isn’t needed.
The Tinify developer API processes the first 500 image compressions free of cost. I only had ~432 images serving through my website. So the free subscription was more than enough in my case.
Steps to batch compressing images on macOS
Sign up with https://tinypng.com/developers and enable your API key in the dashboard. macOS ships with Python, and Tinify works well on both Python2 and 3.
Now pip install --upgrade tinify to install Tinify’s official Python client. Also, make sure you have these modules installed and ready to use:
- os
- time
- glob
- logging
- argparse
Download this script to your working directory. Or you may copy-paste the script below and save it as tinifyImg.py
"""
@author = Cyril NOVEL
@license = Unlicense
@version = 0.3
@description = Tinify all images in a folder
"""
import tinify
import argparse
import logging
import glob
import os
import time
def get_list_images(folder):
files = glob.glob(folder + '/**/*.png', recursive=True)
files += glob.glob(folder + '/**/*.jpg', recursive=True)
files += glob.glob(folder + '/**/*.jpeg', recursive=True)
return files
class Tinifier:
class Error(Exception):
pass
def __init__(self, key):
self._init = False
try:
tinify.key = key
tinify.validate()
except tinify.Error as e:
logging.error(e.message)
raise Tinifier.Error("Failed to validate key with Tinify")
self._init = True
def remaining_free_compressions(self):
if not self.is_initialized():
raise Tinifier.Error("Tinifier is not initialized")
return max(0, 500 - tinify.compression_count)
def can_perform_free_compressions(self):
return self.remaining_free_compressions() > 0
def is_initialized(self):
return self._init
def compress_image(self, image):
if not self.is_initialized():
raise Tinifier.Error("Tinifier is not initialized")
try:
source = tinify.from_file(image)
source.to_file(image)
except tinify.Error as e:
logging.error(image + " failed because " + e.message)
return False
return True
def get_size_images(list_images, power):
size_in_byte = 0
for img in list_images:
size_in_byte += os.path.getsize(img)
size = size_in_byte / pow(1024, power)
return float(int(size*10))/10.
def get_most_recent_action_date(file):
return max(os.path.getmtime(file), os.path.getctime(file))
def get_images_since(number_of_days, list_images):
days_in_epoch = number_of_days*24*60*60
cur_time = time.time()
return [img for img in list_images
if get_most_recent_action_date(img) > cur_time - days_in_epoch]
def main():
logging.getLogger().setLevel(logging.INFO)
log_format = "[%(levelname)s] %(message)s"
logging.basicConfig(format=log_format)
logging.info("Running tinify script for images in a folder")
parser = argparse.ArgumentParser(description="Tinify all PNG and JPG in a folder")
parser.add_argument("-f", "--folder", dest="folder", help="Folder in which to look for images",
required=True)
parser.add_argument("-k", "--key", dest="key", help="API key for Tinify", required=True)
parser.add_argument("-d", "--days", dest="number_of_days", type=float,
help="Only process the images that have been modified in the last n days",
default=None)
parser.add_argument("--dry_run", help="No compression will be done", action="store_true")
parser.add_argument("-v", "--verbose", help="Complete output", action="store_true")
args = parser.parse_args()
if args.verbose:
logging.getLogger().setLevel(logging.DEBUG)
if args.dry_run:
logging.info("This is a dry run")
try:
tinifier = Tinifier(args.key)
except Tinifier.Error as e:
logging.error(e)
return 1
list_images = get_list_images(args.folder)
if args.number_of_days is not None:
list_images = get_images_since(args.number_of_days, list_images)
if len(list_images) == 0:
logging.info("No image has to be processed")
return 0
img_size = get_size_images(list_images, 1)
logging.info(str(len(list_images)) + " images to compress, total size is " + str(img_size) +
" kb")
remaining_compressions = tinifier.remaining_free_compressions()
if remaining_compressions < len(list_images):
logging.warning("Only " + str(remaining_compressions) + " out of " + str(len(list_images)) +
" images will be converted, since monthly quota will be reached during the "
"compressions")
error_count = 0
uncompressed_count = 0
for img in list_images:
if not tinifier.can_perform_free_compressions():
uncompressed_count += 1
logging.warning("No more free compressions, can't compress " + img)
continue
logging.debug("Processing " + img)
if not args.dry_run and not tinifier.compress_image(img):
error_count += 1
else:
logging.debug(img + " processed")
if error_count > 0:
logging.warning(str(error_count) + " error(s) during processing")
elif uncompressed_count > 0:
logging.warning(str(uncompressed_count) + " images skipped because there are no remaining "
"compressions left")
else:
logging.info("No errors during processing")
new_size = get_size_images(list_images, 1)
reduction = 100*(1 - new_size/img_size)
reduction = float(int(reduction*10))/10.
logging.info("Total size is " + str(new_size) + " kb, " + str(reduction) + "% lighter")
logging.info("Remaining compressions: " + str(tinifier.remaining_free_compressions()))
return 0
if __name__ == '__main__':
main()Next up, duplicate the image archive folder you want to compress and move the copy to the working directory. Then run this command:
python tinifyImg.py -f /your/working/directory/images -k APIKEYWhile running, the script directly rewrites the images inside your working directory. Meaning the old images in the images folder will be replaced with optimized ones.
In my case, the optimization helped me save ~56.2 MB. This image compression would considerably improve the webpage rendering speed of mighil.com also.
The script’s acitivity would reflect on the Tinify API dashboard in real-time. Refer to this page to see other example use-cases of the script.