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Diff-Text was developed by DiffEngineX LLC and uses improved algorithms originally developed for the spreadsheet compare tool DiffEngineX. It allows the user to choose between comparing on the level of paragraphs, whole lines, words, or characters. If comparing whole lines, only the line that is not a part of the other block will be reported.
The optimal way to display the results of a file comparison depends on many factors, including the type of source data. The fixed lines of programming code provide a clear unit of comparison. This does not work with documents, where adding a single word may cause the following lines to wrap differently, but still not change the content.
Meld is a visual diff and merge tool, targeted at developers. It allows users to compare two or three files or directories visually, color-coding the different lines. Meld can be used for comparing files, directories, and version controlled repositories.
A ruler was used with a red pen to draw strike-through lines of deleted text and double-underline inserted text. The term "redline" came from using a red pen on the original/current version. When the document was placed in a copy machine, the copies came out black, thus the term "blackline."
In computing, the utility diff is a data comparison tool that computes and displays the differences between the contents of files. Unlike edit distance notions used for other purposes, diff is line-oriented rather than character-oriented, but it is like Levenshtein distance in that it tries to determine the smallest set of deletions and insertions to create one file from the other.
In computing, fc (File Compare) is a command-line program in DOS, IBM OS/2 and Microsoft Windows operating systems, that compares multiple files and outputs the differences between them. [2] [3] It is similar to the Unix commands comm, cmp and diff.
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There are two main approaches to document layout analysis. Firstly, there are bottom-up approaches which iteratively parse a document based on the raw pixel data. These approaches typically first parse a document into connected regions of black and white, then these regions are grouped into words, then into text lines, and finally into text blocks.
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