What is the process of perfect image optimization in your
content? The bloggers are few who know about proper image optimization. It can
be done in simple 6 steps -
i) Download fewer size images:
In the very beginning, bloggers tend to set large-size images
like 5 mb or 10 mb. therefore, file size of the content is very large. It
reduces the speed of your pages and creates LCP (The largest Contentful Paint)
problem. Therefore, download the images which are already in fewer sizes like
500 kb or 1 mb.
ii) Compress images:
It is necessary to compress images for the best
optimization. When you compress any images, it can reduce the size by 30%-80%
even without losing notable quality.
"Tiny png" is a very popular tool in this regard.
Apart from that, you can use "online image optimizer",
"Ezgif", "Gift of speed" etc.
It is recommended to reduce your image size to below 100 kb.
For very rich images you can exceed it. However, in these competitive days, it
is good to keep the images below 50 kb.
iii) Rename your images:
It is the most skippable thing in the blogging area. when
you rename your images, it is ready to serve in google more. It is also easy to
rank images in Google because of less competition. After a certain period, it
also causes getting organic traffic. What things to remind for naming on your
images -
a. Use only small letters
b. Separate the words by a hyphen
One example is -
"How-to-do-image-optimization-for-SEO-in-6-steps" is renamed for
below image. It will be included in image URL by Google.
iv) Add alt text to your all images. Alt text is the image
description by which visually impaired people can know about the images by
hearing the description through screen readers.
v) Add image title/ caption in your images.
vi) Add a keyword at least one time in an image URL, alt
text, and image title in your whole article.
After this process, your image is perfect optimized and also
helps a lot for keyword optimization in your whole article. If anything is hazy
then feel free to put it in the comment box. It will be solved.