JPEG is abbreviated as the Joint Photographics Experts Group. It is a file extension that uses irreversible compression technology which helps in reducing the data size for storing data easier and advocates the seamless handling and transmission of content. A JPEG most commonly aids in storing digital images via \"lossy compression\" and includes images rendered by means of digital photography. Lossy compression does not let users restore the image file to its original quality after compression, once sized down. Some loss of the data stored in the image file occurs during the compression process. In simpler terms, when an image gets compressed, there's a reduction in its quality, thereby losing some of the graphical/visual data information; data reduction generates lower file sizes.
WebP is a popular image format that has been developed by Google in 2010. The WebP technology deploys features of both the lossy and the lossless compression techniques that are totally in contrast to each other. The lossy compression technique is an irreversible data compression whereas lossless compression technique involves reversible data compression. However, the lossy compression technique is very useful in significantly reducing the file size for easy transfer and handling as well as to save on storage space. Compared to other image formats like JPEG and PNG, the WebP image formats retain the high quality despite allowing for nearly 34% more compression. This technology is useful as a large number of images can be viewed one after the other across the world at very high speed. There is a standalone library called libwebp in the GIT Repository that can be used as a reference for implementation of the WebP specifications. This library provides the necessary commands for encoding and decoding.
FreeFileConvert uses tuned encoding for JPEG to WEBP conversions, preserving clarity while trimming file size. Finished audio streams instantly across phones, tablets, desktops, and modern browsers without extra tweaks.
Upload JPEG files from desktop, tablet, or cloud storage, queue multiple jobs, and let the converter finish autonomously. Return whenever convenient to download synchronized WEBP results on any device you rely on.
Process up to 5 files sized 1000 MB per batch without splitting queues manually. Mixed-format uploads convert together, producing consistent WEBP audio with dependable progress tracking.
JPEG files store meta information of the images. Meta information includes the technical details of the images such as color spaces, color profiles and the height and width of images. Adobe RGB and sRGB are examples of JPEG color profiles. JPEG file compression is mostly used in the compression of photographs and life-like paintings which involve a nice range of tone and ample variations in color. However, the JPEG file extension is not suitable for multiple edits and isn't reliable for compressing highly technical data other than visual content. Applications, where JPEG formats cannot be used, include scientific data, technical processes, and medical imaging functions. Each time an image undergoes JPEG compression, a drop in the resolution quality occurs. The best way to avoid this is to save the image in a lossless format and carry out its distribution by exporting it as a JPEG file. Lossless formats allow users not to lose out on image quality and restores all the pixel information when returned to its original size. This means you can revert the image back to its original size and quality, unlike lossy compression.
The algorithm for lossy compression technique in WebP images is based on the structure found in the VP8 video format which uses the intra-frame coding mechanism. The RIFF (Resource Interchange File Format) is used as the container format for these files. The lossless compression of WebP comprises of advanced compression techniques like using dedicated codes to entropy channels of different colors. This technique exploits the 2D or the 2 Dimensional localities for referencing distances in a backward order and maintains a color cache that has all the colors that have been used recently. It comprises of complementary basic techniques like Color Indexing Transformation, Huffman coding and Dictionary coding. There is almost a 19% to 64% reduction in image size depending on the source image format and whether the image is being converted to a lossy or a lossless format in WebP.
Upload your image file in the JPEG format from your device, Dropbox, or Google Drive.
Select WEBP as the output format and click Convert. Adjust optional settings if needed.
Download the converted image file. Each file stays available for up to 5 downloads.