Commit cf4ffa2e authored by Simon Krull's avatar Simon Krull 🖥

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<h1>Welcome to {{ site.title }}'s official homepage!</h1>
<p>If you are like me you have hundreds or even thousands of images ever since you got your first camera, some taken with a normal camera other with a digital camera. Through all the years you believed that until eternity you would be able to remember the story behind every single picture, you would be able to remember the names of all the persons on your images, and you would be able to remember the exact date of every single image.</p>
<p>I personally realized that this was not possible anymore, and especially for my digital images - but also for my paper images - I needed a tool to help me describe my images, and to search in the pile of images. This is exactly what KPhotoAlbum is all about.</p>
<p>With <b>KPhotoAlbum </b>it is today possible for me to find any image I have in less than 5 seconds, let that be an image with a special person, an image from a special place, or even both.</p>
<p>There is of course no such thing as free lunch - with KPhotoAlbum this means that you have to annotate all your images before you are set. KPhotoAlbum is, however, highly optimized for annotating images, so annotating 100 images in 10 minutes are no way impossible.</p>
<p>If you have hundreds or even thousands of images on your hard drive, it becomes impossible to remember the story behind every single image or the names of the persons photographed. KPhotoAlbum was created to help you describe your images and then search the big pile of pictures quickly and efficiently.</p>
<p>With KPhotoAlbum it is possible to find any image in less than 5 seconds based on a powerful tag system, let that be an image with a special person, an image from a special place, or even both.</p>
<p>There is of course no such thing as free lunch - with KPhotoAlbum this means that you have to annotate all your images before you are set. KPhotoAlbum is, however, highly optimized for annotating images, allowing you to annotate over 100 images in only 10 minutes with a bit of practice.</p>
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