TextParser

Working with text data in a digital context has become a quite standard, mainstream task, and the complexity of such undertakings rises only when dealing with large amounts of data, especially in specific formats, which mandate the use of powerful PCs and corresponding, capable software to go with that. TextParser aims to tackle the specific requirements of visualizing plain text data in accordance with set criteria, which can be customized in great detail, in order to reflect users’ specific requirements.

Users can load their text data quite easily and having done so, the application will present them with a series of tools for manipulating the way in which the loaded data is to be displayed. Ranging from simple, word-wrapping, all the way to paragraph and numbering options.

Identifiers for books, preface, chapters, subchapters, parts, as well as individual text, can also be toggled, meaning that if such elements are detected, users will be able to preview them easier.

By far, the highlight of TextParser, is its settings, which address each of the three modules: Books analyzer, eCommunication, and the Assignment Manager. For each individual entry, one will be able to tweak the available actions, as well as corresponding buttons for the features.

Conditions can be added, as well as advanced conditions, which will tell the app as to which tasks are to be performed when certain keys are identified, for both nodes, as well as captions.

TextParser can prove to be a reliable tool for visualizing and parsing plain text in an efficient, elegant manner, and it will allow users to define particular conditions for displaying their data in a filtered manner.