ZEST IDP solution is geared towards transform structured (forms), semi-structured and unstructured data.

Within documents into digitized and actionable information. It uses a combination of technologies, such as optical character recognition (OCR), natural language processing (NLP), computer vision and machine learning (ML) to scan, classify, identify, extract and validate data. ZEST IDP solution is being used by its clients to scans, reads, extracts, categorizes, and organizes various document types such as papers, PDFs, Word Docs, Spreadsheets and more.

ZEST IDP solution is used across various departments within client organization. The solution is template and language agnostic, and the AI is constantly learning and evolving at the back end so the more document types that are processed, the accuracy and efficiency gets better.

With IDP, organizations do not need to deploy data entry operators to manually extract information from various documents. This not only saves time and money but also improves employee satisfaction as the human workforce is now redeployed to more high-end tasks. For organizations that process large volumes of data, ZEST IDP solution is the perfect solution as it offers speed and accuracy.

IDP solutions can understand a wide variety of document formats including digital PDFs, scanned documents, faxes, images and fixed forms. It processes the content within these documents even if it contains handwriting, checkboxes or signatures, and it extracts, validates and integrates quality data into the appropriate business processes and downstream systems.

Additionally, IDP overcomes the limitations of template-based document capture tools and streamlines the document processing activities using human-in-the-loop (HITL) capabilities to handle exceptions and to train and improve its capabilities over time.