I have web portfolio with images for the websites I worked on. For responsiveness I think SVG would be a better choice so that it does not lose any quality when browser is resized. For that reason I try to convert png images into svg using photoshop. Now there are several ways to use svg in html. One to use in img
tag. Second object
and third embed
.
I tried above but images still get distorted and thus does not serve the purpose I am looking for. If I use svg
tag put paths
generated by photoshop might work better and scale better without losing any quality of images. Now the problem is that when I convert that image into svg using photoshop it does not give me svg
tag with paths
into. When I open that svg in browser and check source, I see below:
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1400 713" width="1400" height="713">
<defs>
<image width="1400" height="713" id="img1" href="data:image/png;base64,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...>"/>
</defs>
<style>
tspan { white-space:pre }
</style>
<use id="Background" href="#img1" transform="matrix(1,0,0,1,0,0)"/>
</svg>
I am aware that there are alternative approaches too which are srcset
and picture tag however for these I have create several images for the same image to keep the quality while the browser is scale up and down.
SVG seems to be better fit by using only one image and it will scale up and down with no or less distortion and images will look sleek on the browser.
So the question is how can I create svg so it has paths and then use it in html for better responsiveness while images still look sleek?