A free online tool to convert your High Efficiency Image Coding (HEIC) image format to .WebP.
It is a free tool to convert HEIC image format file to WebP format. We don't put watermark and allow unlimited convertions for free.
We provide a simple way to transform your image files from one format to another.
HEIC is a file format used for storing both individual images and sequences of images. It came to prominence as the default photo storage format on Apple iPhone devices from iOS 11 onwards (replacing JPG) and macOS High Sierra. Developed by the MPEG group, HEIC files are generally 50% the size of JPEG files, but with higher visual quality. They also allow users to store metadata and image edits alongside the photo, and more than one photo in a file (useful for "Live" photos).
A .heic file is a container, indicating that the stored media is a type of High Efficiency Video Codec (HEVC) file, as defined by the High Efficiency Image File Format (HEIF) specification. Like JPG files, the HEIF specs detail that image data is stored using discrete cosine transform (DCT), which results in lossy compression. However, becuase HEIF supports a larger variety of block sizes for DCT (from 4x4 to 32x32), the resulting compression is more efficient, leading to smaller files sizes. HEIF also supports animations, thumbnails, image edits, sequences, metadata and extra image data such as alpha plane or a depth map.
Moving Picture Experts Group (MPEG)
WebP is an image format developed by Google in 2010. The format allows users to save an image in either lossy or lossless format. Google has made bold claims about the compression efficiency of the format stating that it can be up to 34% smaller than the equivalent JPEG or PNG file. Google believes that through the adoption of a more efficient image format, the speed of the web as a whole can be increased due to the volume of images being viewed at any one time across the world.
WebP lossy compression works by a technique of prediction. Each block of pixels are predicted based on other blocks of pixels surrounding it. The difference between the prediction and reality is then encoded. Due to the efficiency of the prediction technique many of the blocks contain a zero difference which results in greater compression and thus a smaller file size. WebP lossless compression works by using parts of the image that have already been analysed to construct other parts of the image.