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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. bzip2 - Wikipedia

    en.wikipedia.org/wiki/Bzip2

    bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm. It only compresses single files and is not a file archiver. It relies on separate external utilities for tasks such as handling multiple files, encryption, and archive-splitting. bzip2 was initially released in 1996 by Julian Seward.

  4. Sloot Digital Coding System - Wikipedia

    en.wikipedia.org/wiki/Sloot_Digital_Coding_System

    The Sloot Digital Coding System is an alleged data sharing technique that its inventor claimed could store a complete digital movie file in 8 kilobytes of data — violating Shannon's source coding theorem by many orders of magnitude. The alleged technique was developed in 1995 by Romke Jan Bernhard Sloot (27 August 1945, Groningen – 11 July ...

  5. rzip - Wikipedia

    en.wikipedia.org/wiki/Rzip

    Size. 46K (source code tarball, gzipped) Website. rzip .samba .org. rzip is a huge-scale data compression computer program designed around initial LZ77 -style string matching on a 900 MB dictionary window, followed by bzip2 -based Burrows–Wheeler transform and entropy coding ( Huffman) on 900 kB output chunks.

  6. 7z - Wikipedia

    en.wikipedia.org/wiki/7z

    7-zip .org. 7z is a compressed archive file format that supports several different data compression, encryption and pre-processing algorithms. The 7z format initially appeared as implemented by the 7-Zip archiver. The 7-Zip program is publicly available under the terms of the GNU Lesser General Public License.

  7. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...

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