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  2. Zamzar - Wikipedia

    en.wikipedia.org/wiki/Zamzar

    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. PDF24 Creator - Wikipedia

    en.wikipedia.org/wiki/PDF24_Creator

    After printing a document on the PDF printer, a wizard opens automatically, where the created PDF file can be edited or further worked on. The PDF24 Creator is also able to merge multiple documents to one PDF file and to extract pages. Compressing PDF files to shrink the file size is also possible.

  5. List of archive formats - Wikipedia

    en.wikipedia.org/wiki/List_of_archive_formats

    The replacement for the .sit format that supports more compression methods, UNIX file permissions, long file names, very large files, more encryption options, data specific compressors (JPEG, Zip, PDF, 24-bit image, MP3). The free StuffIt Expander is available for Windows and OS X. .sqx SQX: Windows: Windows: Yes A royalty-free compressing format

  6. Download attachments in AOL Mail

    help.aol.com/articles/download-attachments-in...

    Download all attachments in a single zip file, or download individual attachments. While this is often a seamless process, you should also be aware of how to troubleshoot common errors. Emails with attachments can be identified with Attachment icon in the message preview from the inbox.

  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 ...

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