The KAPTO Extraction Model extracts specific information from documents and saves them in designated entity instances. This can include text, tables, stamps, and checkmark detection in the document. Before image processing, the documents are subjected to normalisation, rotation, or warping during extraction to ensure the accuracy and ease of information extraction.

The AI model then produces the extracted information and images as its output once the extraction phase is complete. Through automation, the KAPTO Extraction Model dramatically reduces the time and resources necessary for manual document processing and information extraction. It can process large volumes of documents in a short time, with a high level of precision and reliability.

To ensure accuracy, the user can see the extracted information during the verification stage. The user can correct and annotate the extracted data if discrepancies are found. The AI system can also learn from these annotations and improve its performance in future extractions.