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  2. 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].

  3. Comparison of e-book formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_e-book_formats

    Derived from PostScript, but without language features like loops, PDF adds support for features such as compression, passwords, semantic structures and DRM. Because PDF documents can easily be viewed and printed by users on a variety of computer platforms, they are very common on the Internet and in document management systems worldwide. The ...

  4. File size - Wikipedia

    en.wikipedia.org/wiki/File_size

    Due to typical file system design, the amount of space allocated for a file is usually larger than the size of the file's data – resulting in a relatively small amount of storage space for each file, called slack space or internal fragmentation, that is not available for other files but is not used for data in the file to which it belongs.

  5. PAQ - Wikipedia

    en.wikipedia.org/wiki/PAQ

    Another feature is PAQ7's ability to compress embedded jpeg and bitmap images in Excel-, Word- and pdf-files. PAQ8A was released on January 27, 2006, PAQ8C on February 13, 2006. These were experimental pre-release of anticipated PAQ8. It fixed several issues in PAQ7 (poor compression in some cases).

  6. Download attachments in AOL Mail

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

    Open the email. Click Download all attachments as a zip file. - The file will be downloaded to your computer. Open the file on your computer. It will often be under "Downloads".

  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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