In this article, we will explore KAPTO entities and how they can be used to revolutionise how businesses and individuals extract information from documents. KAPTO use entities to recognise and extract specific elements within a document automatically. These entities include simple and unbounded features, signature detection, stamp recognition, checkmark, and barcode detection.
KAPTO is the number one choice to extract information from documents automatically. To do this, KAPTO uses entities, which are specific elements of a document that the AI is programmed to recognise and extract the following:
Simple elements are the most basic type of entity in KAPTO. They are single information, such as a name, address, or phone number, that can be extracted from a document. KAPTO is designed to recognise and extract simple elements with high accuracy, making extracting the information you need from your documents easy.
A signature is a graphical representation of a person's name or initials used to sign a document. KAPTO enables the recognition and extraction of signatures from records, making it possible to automate the verification of signed documents. The signature can be detected both in a template or not template document with different consequences: in the first case (template-based signature recognition), KAPTO look for a signature in a specific area (hot zone); in the second case AI determines if the document is signed by searching throughout the entire document and determining where signatures are present in the entire document.
A stamp is a graphical representation of a seal, emblem, or official mark that indicates that a document has been approved or processed. KAPTO is designed to recognise stamps and extract them from documents. The ability to detect and locate Stamps on scanned documents is crucial for the signature detection process in KAPTO.
A checkmark represents a check or tick used to indicate that a particular item has been selected or approved. The system detects rectangular regions (hot zone) that may contain checkmarks in scanned documents, determines their status (marked/unmarked), and each variable is related to its specific rectangle. It is important to remember that checkmark detection can only be used in template documents by recognising checkmarks and extracting them from documents; KAPTO facilitates automating the tracking process for approvals and selections.
A barcode is a series of lines and spaces representing data in a machine-readable format. In KAPTO, the barcode localisation feature is used to accurately identify the location of a barcode within a specific region, ensuring high accuracy in detection. KAPTO supports various barcode formats, including QRCode, StyledQRCode, Aztec, DataMatrix, Maxicode, USPSBarcode, IMBarcode, Databar, Codabar, ITFBarcode, MSIBarcode, and others.
An unbounded collection is a group of related elements that can occur multiple times in a document, like rows and columns.
KAPTO can detect and gather multiple occurrences of associated elements within a document, thus enabling the efficient extraction of information.
Note: By understanding these different types of KAPTO entities, you can better understand the platform's capabilities and how it can be used to automate extracting information from your documents.
Whether you need to extract simple elements, complex collections, or specialised elements like signatures and barcodes, KAPTO is designed to help you get the information you need quickly and accurately.