Gif optimizer

This is a browser-based program that optimizes GIF animations. Optimizing a GIF has many benefits – it uses less computer memory and loads much faster in the browser because there is less data to decode. There are several optimization techniques that we have implemented: transparency optimization, quantizer optimization, and frame-drop optimization. The transparency optimization compares pixels frame by frame. If the pixels in the next frame are the same (or very similar) to the pixels in the current frame, then they are made transparent in the next frame and as a result, they are skipped. Pixel similarity is defined via the threshold option. Usually, it is sufficient to enter a small similarity threshold value of 1% - 5% to obtain good optimization results. The quantizer optimization changes the pixel sampling radius of the quantizer. A larger sampling radius introduces tiny errors in the quantizer that leads to better optimization. This method is less efficient than transparency optimization but a value of 10 - 30 pixels creates visible a result. The skip-frame optimization changes the number of frames in a GIF. You can skip every 2nd, 3rd, 4th, or nth frame starting from any frame. You can also delete specific frames that you enter. For example, "1, 3, 6", which means skip frames one, three, and six, or "2-10", which means skip all frames from the second to the tenth. When skipping frames, the duration of the GIF does not change because the optimizer increases frame delays of the remaining frames to preserve the original GIF duration. This optimization method is very effective. If you skip every second frame, the GIF file size can be reduced by 40%. You can enable or disable each of the optimization methods in the options. You can use one of the methods or multiple methods at once. Our program lets you immediately see the result of transparency and frame skip optimization methods in the browser's GIF preview windows. The size of the new GIF file can be seen in the options by clicking the "save as" and "download" buttons. Coming soon, we'll also be adding other interesting optimization techniques: optimizing by reducing the color palette to fewer colors (for example, from 256 colors to 32), optimizing via dithering, optimizing by the GIF disposal method, optimizing by creating partial frames with modified x, y, width, height arguments, optimizing by dropping repeated frames, optimizing by using a lossy GIF compression algorithm, and optimizing by dropping local color tables and using only the global color table. Gifabulous!