What is Miboru?
Miboru is a so-called “image board” (also known as a “booru”). It gives you the ability to upload media, add tags to it, and use the tags to search through your media. This makes it great for collections of media you’d like to easily (and effectively) be able to search through.
What makes it unique?
What makes Miboru stand out is its emphasis on user experience. Many image boards (in our opinion) are quite dated or follow old norms, and don’t function in a way that’s easy for new users to grasp. The goal of this project is to try to make the core experience simple, while still keeping powerful functionality available to anyone who wants it.
Oftentimes, these image boards operate as public communities, where anyone can submit media, and anyone can search through it. This is not what Miboru is. Miboru is meant for single users to maintain their own collections of media.
Why a tag system? Why not albums, folders, etc.?
Tags are much more versatile. Instead of needing to retrieve your media from a very specific category you put it in, you can easily mix and match tags however you like, both on media items themselves and while searching.
For example, you might have a photo of a dog (A), a photo of a person (B), and a single photo of a dog and a person (C). You could make two albums for photos of dogs and photos of people, but where would photo C go? You could make a third album for photos that have both dogs and people, but if you had to do something like that for every type of photo in your collection, it’d become overwhelming fast.
If you have a tagging system, it’s much easier. Simply add the tag “dog” to photo A, “person” to photo B, and add both “dog” and “person” to photo C. Now, if you wanted to find all your photos of dogs and people, you can simply search for the tags “dog” and “person”. And if you wanted to find all your photos of only dogs, you can search for “dogs” and “-person”, where the “-” means “exclude”. You can even go a step further and tag everything you see in the picture, such as “grass”, “water”, or “sunny”. That way, you can find exactly the image you want, very quickly.