MTP for Mac 1.2.0

MTP for Mac is a powerful productivity software that allows users to extract data from various sources, including incoming emails, text files, and ODBC databases. This general-purpose application is designed exclusively for Mac users and offers a range of features that make it an essential tool for anyone who needs to parse large amounts of text data.

With MTP, users can easily read blocks of text from multiple sources and parse them according to specific selection criteria. The application uses a set of rules called 'variables' to locate and extract one or more data strings from the input text. These variables are identified by unique names and can be referred to in subsequent parts of the process.

One of the key benefits of using MTP is its ability to filter out irrelevant information automatically. The application tests each block of text against selection criteria defined by the user, allowing only relevant information to be further processed. This saves time and ensures that extracted data is accurate.

Once the relevant data has been extracted, MTP offers several options for outputting it. Users can choose to write output directly into a database or save it as a text file. Additionally, MTP allows users to send outgoing emails with extracted data included as part of the message body or attachments.

MTP's extraction rules are highly customizable, allowing users complete control over how their data is located and filtered. Variables can be defined using regular expressions or other custom logic statements, making it easy for even non-technical users to create complex extraction rules.

In addition to its powerful parsing capabilities, MTP also includes several other useful features designed specifically for Mac users. For example, the application supports drag-and-drop functionality which makes importing files quick and easy.

Overall, MTP for Mac is an essential tool for anyone who needs to extract valuable information from large amounts of unstructured text data quickly and accurately. Its customizable extraction rules make it suitable for use in many different industries such as finance or healthcare where extracting specific pieces of information quickly could mean saving time on manual labor-intensive tasks like copy-pasting between documents manually!