AI-powered intelligent document processing for high-volume automated data extraction.
Ephesoft, now a core component of the Tungsten Automation (formerly Kofax) ecosystem, remains a market leader in Intelligent Document Processing (IDP). Its flagship product, Ephesoft Transact, utilizes a proprietary multi-engine OCR approach combined with supervised machine learning to classify documents and extract data with high precision. Unlike traditional legacy OCR that relies on rigid templates, Ephesoft’s architecture is built on a 'Smart Capture' model that learns from document layouts and context. By 2026, the platform has further integrated Generative AI for semantic understanding of unstructured data, allowing enterprise users to process everything from handwritten medical records to complex legal contracts without manual indexing. The system is designed for high-throughput environments, offering both cloud-native (SaaS) and hybrid deployment options. Its technical edge lies in its 'Patented Document Intelligence' which reduces human-in-the-loop (HITL) requirements by up to 80% through advanced confidence-scoring algorithms and automated exception handling workflows.
Uses supervised learning to identify document types based on spatial layout and linguistic markers without pre-defined templates.
AI-powered platform for end-to-end document intelligence and business process orchestration.
Enterprise-grade Intelligent Document Processing (IDP) powered by Generative AI.
Enterprise-grade multimodal document intelligence and semantic extraction engine.
Automate unstructured data extraction with LLM-native Intelligent Document Processing.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Employs NLP to understand the context of data points, identifying entities like 'Total Amount' even in non-standard locations.
Combines Tesseract, Nuance, and proprietary engines to verify characters across multiple passes.
A comprehensive suite of REST APIs that allow for headless document processing within third-party apps.
Automated validation that checks extracted data against external SQL/Oracle databases with error tolerance.
Microservices-based architecture that scales containerized processing nodes based on queue depth.
Automated identification and blacking out of sensitive data fields (SSN, names, DOB) based on compliance rules.
Manual entry of thousands of multi-page invoices with varying formats leads to errors and late fees.
Registry Updated:2/7/2026
Processing dozens of document types (W2s, Bank Statements, IDs) for a single loan application.
Physical mail arrives at various branches and must be routed to the correct department electronically.