Categorisation and Split-Out Features

One of KAPTO's noteworthy capabilities resides in its advanced model which offers both Categorisation and Split-Out features. This dual-function model enables users to classify and segment documents, thereby promoting more precise and efficient data handling.

Categorisation Feature: The first component of this model is document categorisation. KAPTO employs AI to categorise an entire document based on its content. Utilising trained machine learning algorithms, it recognises patterns and assigns documents to a predetermined set of categories. This automated classification simplifies document organisation, thus making the retrieval and processing of specific documents within a large dataset considerably easier.
Split-Out Feature: The second component of this model focuses on document splitting. KAPTO extends beyond simple categorisation; it employs intelligent technology to divide a document into separate parts based on the category they belong to, effectively creating multiple instances of the same category, if needed.

For instance, consider a complex judiciary act containing a writ of summons, a foreclosure, and a notification. KAPTO is capable of identifying and understanding the different sections of the document, knowing which part is the writ of summons, which part is the foreclosure, and which part is the notification. Subsequently, KAPTO can split the document into its constituent parts, allowing each segment to be processed independently.

Similarly, in a document containing several invoices, KAPTO can recognise and split each invoice as an individual part, processing them separately. This unique feature is exceptionally beneficial when a single document contains various types of information that require separate processing.

By integrating the Categorisation and Split-Out features into one comprehensive model, KAPTO provides users the ability to automatically organise, classify, and partition their documents. This functionality significantly streamlines document management, saving substantial time and resources.