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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. Sumatra PDF - Wikipedia

   en.wikipedia.org/wiki/Sumatra_PDF

   The Sumatra PDF Viewer is a tiny open source portable reader that opens PDF's in the blink of an eye. Bloat and startup time is a major drawback to Adobe Reader, so we fled to the faster arms of Foxit Reader long ago. However, at 850KB, Sumatra is way slimmer than FoxIt. ^ Anders Ingeman Rasmussen (2008).

4. LZ77 and LZ78 - Wikipedia

   en.wikipedia.org/wiki/LZ77_and_LZ78

   LZ77 and LZ78 are the two lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977 [ 1] and 1978. [ 2] They are also known as LZ1 and LZ2 respectively. [ 3] These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others. Besides their academic influence, these algorithms ...

5. Comparison of e-book formats - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_e-book_formats

   The following is a comparison of e-book formats used to create and publish e-books . The EPUB format is the most widely supported e-book format, supported by most e-book readers except Amazon Kindle [ a] devices. Most e-book readers also support the PDF and plain text formats. E-book software can be used to convert e-books from one format to ...

6. PDF - Wikipedia

   en.wikipedia.org/wiki/PDF

   A PDF file is often a combination of vector graphics, text, and bitmap graphics. The basic types of content in a PDF are: Typeset text stored as content streams (i.e., not encoded in plain text ); Vector graphics for illustrations and designs that consist of shapes and lines;

7. Snappy (compression) - Wikipedia

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

   Compression speed is 250 MB/s and decompression speed is 500 MB/s using a single core of a circa 2011 "Westmere" 2.26 GHz Core i7 processor running in 64-bit mode. The compression ratio is 20–100% lower than gzip. [5] Snappy is widely used in Google projects like Bigtable, MapReduce and in compressing data for Google's internal RPC systems.