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Human-readable medium and data
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In , a human-readable medium or human-readable format is any encoding of or that can be naturally read by , resulting in human-readable data. It is often encoded as or text, rather than as data.

In most contexts, the alternative to a human-readable representation is a machine-readable format or medium of data primarily designed for reading by electronic, mechanical or optical devices, or . For example, Universal Product Code (UPC) are very difficult to read for humans, but very effective and reliable with the proper equipment, whereas the strings of that commonly accompany the label are the human-readable form of the barcode information. Since any type of data encoding can be parsed by a suitably programmed computer, the decision to use binary encoding rather than text encoding is usually made to conserve storage space. Encoding data in a binary format typically requires fewer of storage and increases efficiency of access (input and output) by eliminating format or conversion.

With the advent of standardized, highly structured , such as (XML), the decreasing costs of data storage, and faster and cheaper data communication networks, compromises between human-readability and machine-readability are now more common-place than they were in the past. This has led to humane markup languages and modern configuration file formats that are far easier for humans to read. In addition, these structured representations can be very effectively for transmission or storage.

Human-readable protocols greatly reduce the cost of debugging.

Various organizations have standardized the definition of human-readable and machine-readable data and how they are applied in their respective fields of application, e.g., the Universal Postal Union.

Often the term human-readable is also used to describe shorter names or strings, that are easier to comprehend or to remember than long, complex syntax notations, such as some Uniform Resource Locator strings.

Occasionally "human-readable" is used to describe ways of encoding an arbitrary integer into a long series of English words. Compared to decimal or other compact binary-to-text encoding systems, English words are easier for humans to read, remember, and type in.


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