Images take up to 50% of the total size of an average web page. And if images are not optimized, users end up downloading extra bytes. And if they’re downloading extra bytes, the site not only takes that much more time to load, but users are using more data, both of which can be resolved, at least in part, by optimizing the images before they are downloaded.
Researchers around the world are busy developing new image formats that possess high visual quality despite being smaller in size compared to other formats like PNG or JPG. Although these new formats are still in development and generally have limited browser support, one of them, WebP, is gaining a lot of attention. And while they aren’t really in the same class as raster images, SVGs are another format many of us have been using in recent years because of their inherently light weight.
There are tons of ways we can make smaller and optimized images. In this tutorial, we will write bash scripts that create and optimize images in different image formats, targeting the most common formats, including JPG, PNG, WebP, and SVG. The idea is to optimize images before we serve them so that users get the most visually awesome experience without all the byte bloat.
This GitHub repo has all the images we’re using and you’re welcome to grab them and follow along.
Set up
Before we start, let’s get all of our dependencies in order. Again, we’re writing Bash scripts, so we’ll be spending time in the command line.
Here are the commands for all of the dependencies we need to start optimizing images:
sudo apt-get update
sudo apt-get install imagemagick webp jpegoptim optipng
npm install -g svgexport svgoIt’s a good idea to know what we’re working with before we start using them:
- ImageMagick: works with all kinds of raster images
- webp optimizes WebP files
- JPEGoptim optimizes JPG/JPEG files
- OptiPNG optimizes PNG files
- SVGO and svgexport are Node packages that optimize SVG assets
OK, we have our images in the original-images directory from the GitHub repo. You can follow along at commit 3584f9b.
Note: It is strongly recommended to backup your images before proceeding. We’re about to run programs that alter these images, and while we plan to leave the originals alone, one wrong command might change them in some irreversible way. So back anything up that you plan to use on a real project to prevent cursing yourself later.
Organize images
OK, we’re technically set up. But before we jump into optimizing all the things, we should organize our files a bit. Let’s organize them by splitting them up into different sub-directories based on their MIME type. In fact, we can create a new bash to do that for us!
The following code creates a script called organize-images.sh:
#!/bin/bash
input_dir="$1"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
fi
for img in $( find $input_dir -type f -iname "*" );
do
# get the type of the image
img_type=$(basename `file --mime-type -b $img`)
# create a directory for the image type
mkdir -p $img_type
# move the image into its type directory
rsync -a $img $img_type
doneThis might look confusing if you’re new to writing scripts, but what it’s doing is actually pretty simple. We give the script an input directory where it looks for images. the script then goes into that input directory, looks for image files and identifies their MIME type. Finally, it creates subdirectories in the input folder for each MIME type and drops a copy of each image into their respective sub-directory.
Let’s run it!
bash organize-images.sh original-imagesSweet. The directory looks like this now. Now that our images are organized, we can move onto creating variants of each image. We’ll tackle one image type at a time.
Convert to PNG
We will convert three types of images into PNG in this tutorial: WebP, JPEG, and SVG. Let’s start by writing a script called webp2png.sh, which pretty much says what it does: convert WebP files to PNG files.
#!/bin/bash
# directory containing images
input_dir="$1"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
fi
# for each webp in the input directory
for img in $( find $input_dir -type f -iname "*.webp" );
do
dwebp $img -o ${img%.*}.png
doneHere’s what happening:
input_dir="$1": Stores the command line input to the scriptif [[ -z "$input_dir" ]]; then: Runs the subsequent conditional if the input directory is not definedfor img in $( find $input_dir -type f -iname "*.webp" );: Loops through each file in the directory that has a.webpextension.dwebp $img -o ${img%.*}.png: Converts the WebP image into a PNG variant.
And away we go:
bash webp2png.sh webpWe now have our PNG images in the webp directory. Next up, let’s convert JPG/JPEG files to PNG with another script called jpg2png.sh:
#!/bin/bash
# directory containing images
input_dir="$1"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
fi
# for each jpg or jpeg in the input directory
for img in $( find $input_dir -type f -iname "*.jpg" -o -iname "*.jpeg" );
do
convert $img ${img%.*}.png
doneThis uses the convert command provided by the ImageMagick package we installed. Like the last script, we provide an input directory that contains JPEG/JPG images. The script looks in that directory and creates a PNG variant for each matching image. If you look closely, we have added -o -iname "*.jpeg" in the find. This refers to Logical OR, which is the script that finds all the images that have either a .jpg or .jpeg extension.
Here’s how we run it:
bash jpg2png.sh jpegNow that we have our PNG variants from JPG, we can do the exact same thing for SVG files as well:
#!/bin/bash
# directory containing images
input_dir="$1"
# png image width
width="$2"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
elif [[ -z "$width" ]]; then
echo "Please specify image width."
exit 1
fi
# for each svg in the input directory
for img in $( find $input_dir -type f -iname "*.svg" );
do
svgexport $img ${img%.*}.png $width:
doneThis script has a new feature. Since SVG is a scalable format, we can specify the width directive to scale our SVGs up or down. We use the svgexport package we installed earlier to convert each SVG file into a PNG:
bash svg2png.sh svg+xmlCommit 76ff80a shows the result in the repo.
We’ve done a lot of great work here by creating a bunch of PNG files based on other image formats. We still need to do the same thing for the rest of the image formats before we get to the real task of optimizing them.
Convert to JPG
Following in the footsteps of PNG image creation, we will convert WebP, JPEG, and SVG into JPG. Let’s start by writing a script called png2jpg.sh that converts PNG to SVG:
#!/bin/bash
# directory containing images
input_dir="$1"
# jpg image quality
quality="$2"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
elif [[ -z "$quality" ]]; then
echo "Please specify image quality."
exit 1
fi
# for each png in the input directory
for img in $( find $input_dir -type f -iname "*.png" );
do
convert $img -quality $quality% ${img%.*}.jpg
doneYou might be noticing a pattern in these scripts by now. But this one introduces a new power where we can set a -quality directive to convert PNG images to JPG images. Rest is the same.
And here’s how we run it:
bash png2jpg.sh png 90Woah. We now have JPG images in our png directory. Let’s do the same with a webp2jpg.sh script:
#!/bin/bash
# directory containing images
input_dir="$1"
# jpg image quality
quality="$2"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
elif [[ -z "$quality" ]]; then
echo "Please specify image quality."
exit 1
fi
# for each webp in the input directory
for img in $( find $input_dir -type f -iname "*.webp" );
do
# convert to png first
dwebp $img -o ${img%.*}.png
# then convert png to jpg
convert ${img%.*}.png -quality $quality% ${img%.*}.jpg
doneAgain, this is the same thing we wrote for converting WebP to PNG. However, there is a twist. We cannot convert WebP format directly into a JPG format. Hence, we need to get a little creative here and convert WebP to PNG using dwebp and then convert PNG to JPG using convert. That is why, in the for loop, we have two different steps.
Now, let’s run it:
bash webp2jpg.sh jpeg 90Voilà ! We have created JPG variants for our WebP images. Now let’s tackle SVG to JPG:
#!/bin/bash
# directory containing images
input_dir="$1"
# jpg image width
width="$2"
# jpg image quality
quality="$3"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
elif [[ -z "$width" ]]; then
echo "Please specify image width."
exit 1
elif [[ -z "$quality" ]]; then
echo "Please specify image quality."
exit 1
fi
# for each svg in the input directory
for img in $( find $input_dir -type f -iname "*.svg" );
do
svgexport $img ${img%.*}.jpg $width: $quality%
doneYou might bet thinking that you have seen this script before. You have! We used the same script for to create PNG images from SVG. The only addition to this script is that we can specify the quality directive of our JPG images.
bash svg2jpg.sh svg+xml 512 90Everything we just did is contained in commit 884c6cf in the repo.
Convert to WebP
WebP is an image format designed for modern browsers. At the time of this writing, it enjoys roughly 90% global browser support, including with partial support in Safari. WebP’s biggest advantage is it’s a much smaller file size compared to other mage formats, without sacrificing any visual quality. That makes it a good format to serve to users.
But enough talk. Let’s write a png2webp.sh that — you guessed it — creates WebP images out of PNG files:
#!/bin/bash
# directory containing images
input_dir="$1"
# webp image quality
quality="$2"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
elif [[ -z "$quality" ]]; then
echo "Please specify image quality."
exit 1
fi
# for each png in the input directory
for img in $( find $input_dir -type f -iname "*.png" );
do
cwebp $img -q $quality -o ${img%.*}.webp
doneThis is just the reverse of the script we used to create PNG images from WebP files. Instead of using dwebp, we use cwebp.
bash png2webp.sh png 90We have our WebP images. Now let’s convert JPG images. The tricky thing is that there is no way to directly convert a JPG files into WebP. So, we will first convert JPG to PNG and then convert the intermediate PNG to WebP in our jpg2webp.sh script:
#!/bin/bash
# directory containing images
input_dir="$1"
# webp image quality
quality="$2"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
elif [[ -z "$quality" ]]; then
echo "Please specify image quality."
exit 1
fi
# for each webp in the input directory
for img in $( find $input_dir -type f -iname "*.jpg" -o -iname "*.jpeg" );
do
# convert to png first
convert $img ${img%.*}.png
# then convert png to webp
cwebp ${img%.*}.png -q $quality -o ${img%.*}.webp
doneNow we can use it like this to get our WebP variations of JPG files:
bash jpg2webp.sh jpeg 90Commit 6625f26 shows the result.
Combining everything into a single directory
Now that we are done converting stuff, we’re one step closer to optimize our work. But first, we’re gong to bring all of our images back into a single directory so that it is easy to optimize them with fewer commands.
Here’s code that creates a new bash script called combine-images.sh:
#!/bin/bash
input_dirs="$1"
output_dir="$2"
if [[ -z "$input_dirs" ]]; then
echo "Please specify an input directories."
exit 1
elif [[ -z "$output_dir" ]]; then
echo "Please specify an output directory."
exit 1
fi
# create a directory to store the generated images
mkdir -p $output_dir
# split input directories comma separated string into an array
input_dirs=(${input_dirs//,/ })
# for each directory in input directory
for dir in "${input_dirs[@]}"
do
# copy images from this directory to generated images directory
rsync -a $dir/* $output_dir/
doneThe first argument is a comma-separated list of input directories that will transfer images to a target combined directory. The second argument is defines that combined directory.
bash combine-images.sh jpeg,svg+xml,webp,png generated-imagesThe final output can be seen in the repo.
Optimize SVG
Let us start by optimizing our SVG images. Add the following code to optimize-svg.sh:
#!/bin/bash
# directory containing images
input_dir="$1"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
fi
# for each svg in the input directory
for img in $( find $input_dir -type f -iname "*.svg" );
do
svgo $img -o ${img%.*}-optimized.svg
doneWe’re using the SVGO package here. It’s got a lot of options we can use but, to keep things simple, we’re just sticking with the default behavior of optimizing SVG files:
bash optimize-svg.sh generated-images
The result can be seen in the repo at commit 75045c3.
Optimize PNG
Let’s keep rolling and optimize our PNG files using this code to create an optimize-png.sh command:
#!/bin/bash
# directory containing images
input_dir="$1"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
fi
# for each png in the input directory
for img in $( find $input_dir -type f -iname "*.png" );
do
optipng $img -out ${img%.*}-optimized.png
doneHere, we are using the OptiPNG package to optimize our PNG images. The script looks for PNG images in the input directory and creates an optimized version of each one, appending -optimized to the file name. There is one interesting argument, -o, which we can use to specify the optimization level. The default value is 2 **and values range from 0 to 7. To optimize our PNGs, we run:
bash optimize-png.sh generated-images
As we can see, OptiPNG does a great job optimizing the images. We can play around with the -o argument to find a suitable value by trading off between image quality and size. Check out the results in commit 4a97f29.
Optimize JPG
We have reached the final part! We’re going to wrap things up by optimizing JPG images. Add the following code to optimize-jpg.sh:
#!/bin/bash
# directory containing images
input_dir="$1"
# target image quality
quality="$2"
if [[ -z "$input_dir" ]]; then
echo "Please specify an input directory."
exit 1
elif [[ -z "$quality" ]]; then
echo "Please specify image quality."
exit 1
fi
# for each jpg or jpeg in the input directory
for img in $( find $input_dir -type f -iname "*.jpg" -o -iname "*.jpeg" );
do
cp $img ${img%.*}-optimized.jpg
jpegoptim -m $quality ${img%.*}-optimized.jpg
doneThis script uses JPEGoptim. The problem with this package is that it doesn’t have any option to specify the output file. We can only optimize the image file in place. We can overcome this by first creating a copy of the image, naming it whatever we like, then optimizing the copy. The -m argument is used to specify image quality. It is good to experiment with it a bit to find the right balance between quality and file size.
bash optimize-jpg.sh generated-images 95
The results are shows in commit 35630da.
Wrapping up
See that? With a few scripts, we can perform heavy-duty image optimizations right from the command line, and use them on any project since they’re installed globally. We can set up CI/CD pipelines to create different variants of each image and serve them using valid HTML, APIs, or even set up our own image conversion websites.
I hope you enjoyed reading and learning something from this article as much as I enjoyed writing it for you. Happy coding!
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