Data conversion is the conversion of one form of computer data to another--the changing of bits from being in one format to a different one, usually for the purpose of application interoperability or of capability of using new features. At the simplest level, data conversion can be exemplified by conversion of a text file from one character encoding to another. More complex conversions are those of office file formats, and conversions of image and audio file formats are an endeavor that is beyond the ken of ordinary computer users.

Information basics

Before any data conversion is carried out, the user or application programmer should keep a few basics of computing and information theory in mind. These include:

• Information can easily be discarded by the computer, but adding information takes effort.
• The computer can add information only in a rule-based fashion; most users want additions of information that can only be accomplished by humans.
• Upsampling the data or converting to a more feature-rich format does not add information; it merely makes room for that addition, which usually a human must do.

For example, a truecolor image can easily be converted to grayscale, while the opposite conversion is a painstaking process. Converting a Unix text file to a Microsoft (DOS/Windows) text file involves adding information, but that addition is easily done with a computer, since it is rule-based; whereas the addition of color information to a grayscale image cannot be done programmatically, since only a human knows which colors are needed for each section of the picture--there are no rules that can be used to automate that process. Converting a 24-bit PNG to a 48-bit one does not add information to it, it only pads existing RGB pixel values with zeroes, so that a pixel with a value of FF C3 56, for example, becomes FF00 C300 5600. The conversion makes it possible to change a pixel to have a value of, for instance, FF80 C340 56A0, but the conversion itself does not do that, only further manipulation of the image can. Converting an image or audio file in a lossy format (like JPEG or Vorbis) to a lossless (like PNG or FLAC) or uncompressed (like BMP or WAV) format only wastes space, since the same image with its loss of original information (the artifacts of lossy compression) becomes the target. A JPEG image can never be restored to the quality of the original lossless image from which it was made, no matter how much the user tries the "JPEG Artifact Removal" feature of his or her image manipulation program.

Because of these realities of computing and information theory, data conversion is more often than not a complex and error-prone process that requires the help of experts. It is safe to say that only the success of artificial intelligence could put data conversion companies out of a job.

Pivotal conversion

Data conversion can occur directly from one format to another, but many applications that convert between multiple formats use a pivotal encoding by way of which any source format is converted to its target. For example, it is possible to convert Cyrillic text from KOI8-R to Windows-1251 using a lookup table between the two encodings, but the modern approach is to convert the KOI8-R file to Unicode first and from that to Windows-1251. This is a more manageable approach: an application specializing in character encoding conversion would have to keep hundreds of lookup tables, for all the permutations of character encoding conversions available, while keeping lookup tables just for each character set to Unicode scales down the number to a few tens.