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  2. Zamzar - Wikipedia

    en.wikipedia.org/wiki/Zamzar

    In February 2021 Zamzar expanded their tool and announced a new file compression service. [10] The compressor is visually similar to the conversion tool with a drag and drop download feature. As with the converter, users have the option to subscribe for a paid plan if they wish to compress multiple or larger files than the free service permits [11]

  3. Smallpdf.com - Wikipedia

    en.wikipedia.org/wiki/Smallpdf.com

    Smallpdf is a Swiss online web-based PDF software, founded in 2013. [2] It offers free version with limited features to compress, convert and edit PDF documents. [3] And its paid version offers advanced features like OCR, compress, and more. [4]

  4. 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 such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.

  5. gzip - Wikipedia

    en.wikipedia.org/wiki/Gzip

    gzip is a file format and a software application used for file compression and decompression.The program was created by Jean-loup Gailly and Mark Adler as a free software replacement for the compress program used in early Unix systems, and intended for use by GNU (from which the "g" of gzip is derived).

  6. Express Zip - Wikipedia

    en.wikipedia.org/wiki/Express_Zip

    Express Zip File Compression Software is a file compression and archiving software program developed by NCH Software for Windows and Mac OS first released in 2010. [1] It offers the ability to open, manage, archive, extract, and compress digital documents into .zip, .tar, .tgz, .wim, .arj, and .lzh as well as additional archive formats. [2]

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points. This process condenses extensive ...