Friday, July 22, 2011

Google uses Base64 encoded Image in Home page Doodle





Today, I did some analysis about how Google is showing the animated Doodle for the Mobile Sculpture  of Alexander Calder.


During this analysis, I came to know that source code of the Google Home page is NOT having any image path specified for the Doodle image. Instead, it is having Base64 encoded string of the image.




i-e The  above image is getting displayed using below code.
<img src="data:image/png;base64,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" />


I think using Base64 encoded Image will prevent hot linking of images from third party sites so that bandwidth stealing can be avoided.

I would like to know the other advantages of embedding the Base64 encoded image in the html page instead of giving the path to the image.

Will it increase the loading speed, and therefore give SEO advantage? Will it use cache?

If you have more details about Base64 encoded image embedding, you can share the details thro' the comments.


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