University of Kwazulu-Natal

What Is Intelligent Document Processing Idp Klippa

Bonisiwe Shabane
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what is intelligent document processing idp klippa

Paper documents, emails, photos, PDF files… With data-driven decision-making becoming the new standard, it’s vital to find an efficient way to manage diverse data sources. You’re probably aware of how time-consuming (and costly!) it would be if you had to check each of the files by hand and then type out all of the data, let alone having to... It’s no wonder that, according to the 2025 SER IDP Survey, 78% of companies are already operational with AI in their IDP projects – a dramatic leap forward from just a year ago. Intelligent Document Processing (IDP) automates document handling, helping you turn your data sources into actionable insights with speed, accuracy, and precision. Keep reading to learn everything there is to know about Intelligent Document Processing and discover how it can transform your document workflow. Intelligent Document Processing (IDP) refers to document processing automation focused on extracting and converting data from documents to a machine-readable format, such as CSV, JSON, and XLSM, for easy integration with different business systems.

Klippa is a technology company specializing in intelligent document processing (IDP) and OCR solutions that automate data extraction from various document types. In 2025, Klippa was acquired by SER Group, a leading provider of intelligent content automation solutions. Klippa offers specialized artificial intelligence and OCR (Optical Character Recognition) solutions designed to help businesses automate document processing and data extraction. The company was founded in 2015 in Groningen, Netherlands, by Bart-Jan Maatman, Robert-Jan Verheggen, Jeroen Bobbeldijk, and Yeelen Knegtering [1]. Recently, Klippa announced a strategic partnership with AI and data automation company CanData.ai to integrate its document automation and AI capabilities into CanData.ai's platforms. Since its founding, Klippa expanded its operations beyond its Groningen headquarters to establish offices in Amsterdam, Hamburg, San Francisco, and Brasov [2].

The company grew to become one of the fastest-growing Dutch tech companies before its acquisition. In March 2025, Klippa was acquired by SER Group, a German company specializing in intelligent content automation. Following the acquisition, Klippa's advanced IDP capabilities are being integrated into SER's Doxis Intelligent Content Automation platform, enhancing SER Group's document processing capabilities while expanding Klippa's international reach [3]. Klippa's solutions are particularly valuable for organizations dealing with large volumes of documents that require efficient processing, data extraction, and integration with existing systems. Their technology focuses on making document processing more efficient through automation, reducing manual data entry, and minimizing human error. Intelligent document processing (IDP) is automating the process of manual data entry from paper-based documents or document images to integrate with other digital business processes.

For example, consider a business process workflow that automatically issues orders to suppliers when stock levels are low. Although the process is automated, no order is shipped until the supplier receives payment. The supplier sends an invoice via email, and the accounts team enters the data manually before completing payment—introducing manual checkpoints that create bottlenecks or errors. Instead, IDP systems automatically extract invoice data and enter it in the required format in the accounting system. You can use document processing to automate document management with the use of machine learning (ML) and various artificial intelligence (AI) technologies. IDP offers a range of benefits for businesses.

The following are some of the key advantages. Manual document processing can result in human errors, reducing the efficiency of your business. It also introduces limits on how many documents you can process at a time. With IDP solutions, you can accurately scan documents at scale. ML/AI solutions process documents without mistakes. You can manage heavy operational demands with improved accuracy and efficiency.

Automation of document processing and analysis reduces overhead costs. You can automate any repetitive tasks central to your operations and overcome bottlenecks, eliminating costs that arise from manual data entry and processing. You can leverage IDP to boost productivity and streamline workflows across your business operations. With IDP, you can handle customer documents faster. You can use IDP to automate tasks such as customer onboarding, bookings, and payments that involve documentation. Chatbots can use data from customer documents to respond to customer queries in a more personalized manner.

Providing answers and services to customers more quickly enhances customer relationships. Every day, businesses process millions of documents: invoices, claims, contracts, emails, forms, and more. 90% of enterprise data is unstructured, and most of it lives in documents. According to McKinsey, automating document workflows can reduce processing costs by up to 40% and cut turnaround times by 70%. Yet, traditional document processing is time-consuming, error-prone, and often still manual. That’s where Intelligent Document Processing (IDP) enters the picture, bringing AI-powered automation to transform how organizations handle unstructured and semi-structured data.

Whether you’re a tech leader, a data architect, or an automation champion, this 2025 guide will walk you through what IDP is, how it works, its benefits, use cases, emerging trends, and other insightful... Document processing refers to the foundational methods of handling physical or digital documents throughout their lifecycle. It includes capturing, extracting, validating, storing, and routing information within various business systems. Historically, this process has required significant manual input, especially when dealing with unstructured or paper-based formats. Common examples include scanning invoices, entering data from forms, or validating contracts. While automation tools like OCR have helped, traditional document processing still demands frequent human oversight.

The rapid rise of Integration Platform as a Service (iPaaS) is reshaping business operations, particularly for those relying on multiple software applications. iPaaS enables seamless scaling, even without extensive tech skills. This growth is evident in the market projections, surging from $3.7 billion to $13.9 billion by 2026. In this data-driven era, efficient app communication is vital, yet unstructured business data often hides in PDFs, images, and emails. According to the SER IDP Survey 2025, integration hurdles are the second-largest challenge for IDP adoption, making it crucial to bridge systems effectively. That’s where Intelligent Document Processing (IDP) comes in, extracting and converting unstructured data so it flows smoothly through your iPaaS workflows.

In this blog, we’ll explain how IDP can optimize iPaaS workflows by converting any document into actionable data for seamless automation in your core systems. iPaaS is a cloud-based platform that simplifies and standardizes the process of connecting your business applications. Think of it as a digital bridge, making it easy for different systems to communicate and share information smoothly. Instead of managing each app’s connections separately, iPaaS centralizes all your APIs and connectors. Integration platforms can be useful for any type of business, but they are particularly sought after by mid and large-sized businesses that have a more complex IT landscape. It’s great for automating complex business processes, and you don’t need to be a tech expert to use it.

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.

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