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2. Zamzar - Wikipedia

   en.wikipedia.org/wiki/Zamzar

   Zamzar is currently free to use, but there is a limit of two conversions per hour for files up to 100MB. Users can pay a monthly subscription in order to access preferential features, such as unlimited file conversions, online file management, shorter response and queuing times and other benefits.

3. Image compression - Wikipedia

   en.wikipedia.org/wiki/Image_compression

   Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.

4. Image conversion - Wikipedia

   en.wikipedia.org/wiki/Image_conversion

   Data in a RAW-file is structured according to the Bayer filter's pattern in cameras that use a single image sensor. Debayering, the process of obtaining bitmap data from a RAW-image is always a lossy operation. [citation needed] In addition, some downsampling is always performed, again reducing image information.

5. Free Lossless Image Format - Wikipedia

   en.wikipedia.org/wiki/Free_Lossless_Image_Format

   Jon Sneyers, one of the developers of FLIF, since combined it with ideas from various lossy compression formats to create a successor called the Free Universal Image Format (FUIF), which itself was combined with Google's PIK format to create JPEG XL. As a consequence, FLIF is no longer being developed. [1]

6. Guetzli - Wikipedia

   en.wikipedia.org/wiki/Guetzli

   Guetzli supports only the top of JPEG's quality range (quantizer settings 84–100) [7] [8] and supports only sequential (non-"progressive") encoding. Guetzli is more effective with bigger files. [8] Google says it is a demonstration of the potential of psychovisual optimizations, intended to motivate further research into future JPEG encoders. [2]

7. QOI (image format) - Wikipedia

   en.wikipedia.org/wiki/QOI_(image_format)

   The intended purpose was to create an open source lossless compression method that was faster and easier to implement than PNG.Figures specified in the blog post announcing the format claim 20-50 times faster encoding, and 3-4 times faster decoding speed compared to PNG, with similar file sizes. [1]