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2. Smallpdf.com - Wikipedia

   en.wikipedia.org/wiki/Smallpdf.com

   The idea came from the need for their families to compress and send large documents via email. [4] The initial version of the site featured a standalone PDF compression tool. [5] Since then, the online platform has introduced over 16 PDF tools to convert, compress and edit PDF documents. [6]

3. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [1] By contrast, lossy compression permits reconstruction only of an approximation of ...

4. XZ Utils - Wikipedia

   en.wikipedia.org/wiki/XZ_Utils

   XZ Utils can compress and decompress the xz and lzma file formats. Since the LZMA format has been considered legacy, [2] XZ Utils by default compresses to xz. In most cases, xz achieves higher compression rates than alternatives like zip, [3] gzip and bzip2. Decompression speed is higher than bzip2, but lower than gzip.

5. Snappy (compression) - Wikipedia

   en.wikipedia.org/wiki/Snappy_(compression)

   Snappy (previously known as Zippy) is a fast data compression and decompression library written in C++ by Google based on ideas from LZ77 and open-sourced in 2011. [3][4] It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression.

6. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression. In information theory, data compression, source coding, [1] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [2] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.

7. Lempel–Ziv–Welch - Wikipedia

   en.wikipedia.org/wiki/Lempel–Ziv–Welch

   Lempel–Ziv–Welch. Lempel–Ziv–Welch (LZW) is a universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. It was published by Welch in 1984 as an improved implementation of the LZ78 algorithm published by Lempel and Ziv in 1978. The algorithm is simple to implement and has the potential for very ...