University of Kwazulu-Natal

Best Intelligent Document Processing Systems 2026 Trustradius

Bonisiwe Shabane
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best intelligent document processing systems 2026 trustradius

Intelligent Document Processing (IDP) has been the go-to solution for companies wishing to automate document processing tasks, such as data extraction, document classification, or conversion. There is no need to highlight how time-consuming, error-prone, and repetitive these tasks are, especially when done manually. In 2025, the SER IDP Survey revealed that 66% of new IDP projects replace a legacy system, highlighting just how often businesses are switching providers to keep up with AI-driven innovations. Selecting the right software from the start can save you from costly migrations later. In this guide, we’ll shed light on what to look for in intelligent document processing software and share our list of the 7 best IDP solutions in 2026. The 7 Best Intelligent Document Processing (IDP) Solutions for 2026:

Intelligent Document Processing software automates all processes involved in the document processing workflow, from start to finish. With an IDP solution, tasks such as document sorting, classification, or conversion are also automated. Manage POs in seconds and easily handle RfQs with your AI Assistant. Speed up your B2B order entry and send your order confirmations with a few clicks. Automate the checking of inspection certificates, test reports, declarations of conformity. Support your Accounts Payable team with automated invoice processing.

Automate the processing of BoQs and tender texts, from item matching to ERP entry. Document-heavy processes continue to slow down teams across finance, healthcare, insurance, and the public sector. Invoices, contracts, claims, and forms often arrive as scans or image-heavy PDFs, and turning them into structured data still takes hours. Intelligent document processing (IDP) platforms help by extracting data and sending it directly into ERP, CRM, and analytics systems with consistency and scale. Today, IDP has matured well beyond traditional OCR. IDP platforms now come with pre-trained document types, reviewer feedback loops, multiple deployment paths, and seamless integration with your existing systems.

As a team focused on AI-driven intelligence & automation, we decided to try out and review the best intelligent document processing solutions that are available in the market. We are sharing our detailed analysis that covers document processing capabilities, use cases, support models, strong security, and audit controls, which often matter more than long feature lists. Intelligent document processing (IDP) automatically captures, classifies, extracts, and validates information from business documents. It combines OCR with AI & ML techniques like natural language processing and computer vision to handle everything from structured forms to unstructured content such as contracts and emails. The best intelligent document processing system for a given organization will depend on that organization’s specific needs and requirements. In this guide, I ranked and reviewed the 8 best intelligent document processing systems, along with my top 3 choices, so that you can pick the best one.

Best intelligent document processing systems include Nanonets, OpenText Intelligent Capture, Kofax TotalAgility, Docsumo, UiPath, ABBYY FlexiCapture, Automation Anywhere, Datamatics TruCap+, and IBM Datacap. Intelligent document processing is a way to automatically extract information from digital documents, using artificial intelligence techniques. This might involve using optical character recognition (OCR) to convert images of text into machine-readable text, or using natural language processing (NLP) to extract meaning from unstructured text. Intelligent document processing systems are important because they can automate a lot of the processes that are currently done manually. This includes the process of extracting data from documents and converting it into information that is useful in other systems. The key benefits of intelligent document processing systems are as follows:

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