This article compares computer software tools which are used for accomplishing comparisons of files of various types. The file types addressed by individual file comparison apps varies, but may include text, symbols, images, audio, or video. This category of software tool is often called "file comparison" or "diff tool", but those effectively are equivalent terms — where the term "diff" is more commonly associated with the Unix diff utility. A typical rudimentary case is the comparison of one file against another. However, it also may include comparisons between two populations of files, such as in the case of comparing directories or folders, as part of file management. For instance, this might be to detect problems with corrupted backup versions of a collection of files ... or to validate a package of files is in compliance with standards before publishing. Note that comparisons must be made among the same file type. Meaning, a text file cannot be compared to a picture containing text, unless an optical character reader (OCR) process is done first to extract the text. Likewise, text cannot be compared to spoken words, unless the spoken words first are transcribed into text. Additionally, text in one language cannot be compared to text in another, unless one is translated into the language of other. A critical consideration is how the two files being compared must be substantially similar and thus not radically different. Even different revisions of the same document — if there are many changes due to additions, removals, or moving of content — may make comparisons of file changes very difficult to interpret. This suggests frequent version saves of a critical document, to better facilitate a file comparison. A "diff" file comparison tool is a vital time and labor saving utility, because it aids in accomplishing tedious comparisons. Thus, it is a vital part of demanding comparison processes employed by individuals, academics, legal arena, forensics field, and other professional endeavors — to identify sometimes hard to spot differences needed for detecting. These uses include: Revisions of texts, plans, or drawings. Edit changes in media. Omission of credit for quotes, citations, extracts, or exemplars. Plagiarism. Alteration of legal documents. Fraud. Forgery. Fakery, or "deepfake" to impersonate. Disputes over ownership or credit for cooperative efforts. Chronology of evolution of a project or effort. Detect steganography (the practice of hiding data in plain sight). Uncover removal of watermarks. Intentional defacement. Identification