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  2. Base64 - Wikipedia

    en.wikipedia.org/wiki/Base64

    Base64 is particularly prevalent on the World Wide Web [1] where one of its uses is the ability to embed image files or other binary assets inside textual assets such as HTML and CSS files. [2] Base64 is also widely used for sending e-mail attachments, because SMTP – in its original form – was designed to transport 7-bit ASCII characters ...

  3. data URI scheme - Wikipedia

    en.wikipedia.org/wiki/Data_URI_scheme

    Since Base64 encoded data is approximately 33% larger than original data, it is recommended to use Base64 data URIs only if the server supports HTTP compression or embedded files are smaller than 1KB. The data, separated from the preceding part by a comma (,). The data is a sequence of zero or more octets represented as characters. The comma is ...

  4. XML-binary Optimized Packaging - Wikipedia

    en.wikipedia.org/wiki/XML-binary_Optimized_Packaging

    XOP allows the binary data part of an XML Infoset to be serialized without going through the XML serializer. The XML serialization of an XML Infoset is text based, so any binary data will need to be encoded using base64. Using XOP avoids this by extracting the binary data out of the XML Infoset so that the XML Infoset does not contain binary ...

  5. Snappy (compression) - Wikipedia

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

    Snappy (previously known as Zippy) is a fast data compression and decompression library written in C++ by Google based on ideas from LZ77 and open-sourced in 2011. [3] [4] It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression.

  6. Binary-to-text encoding - Wikipedia

    en.wikipedia.org/wiki/Binary-to-text_encoding

    A binary-to-text encoding is encoding of data in plain text.More precisely, it is an encoding of binary data in a sequence of printable characters.These encodings are necessary for transmission of data when the communication channel does not allow binary data (such as email or NNTP) or is not 8-bit clean.

  7. Comparison of Unicode encodings - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_Unicode...

    The use of UTF-32 under quoted-printable is highly impractical, but if implemented, will result in 8–12 bytes per code point (about 10 bytes in average), namely for BMP, each code point will occupy exactly 6 bytes more than the same code in quoted-printable/UTF-16. Base64/UTF-32 gets 5 + 1 ⁄ 3 bytes for any code point.

  8. FictionBook - Wikipedia

    en.wikipedia.org/wiki/FictionBook

    All FB2/FB3 capable readers also support ZIP-compressed FictionBook files (.fb2.zip or .fbz). FictionBook2 and FictionBook3 differ in two respects: FB2 consists of a single XML file, with pictures being embedded as base64-encoded "binary" blocks, thus removing the need for additional files.

  9. uuencoding - Wikipedia

    en.wikipedia.org/wiki/Uuencoding

    More common today is the Base64 format, which is based on the same concept of alphanumeric-only as opposed to ASCII 32–95. All three formats use 6 bits (64 different characters) to represent their input data. Base64 can also be generated by the uuencode program and is similar in format, except for the actual character translation: