In today’s data-driven world, businesses are inundated with an ever-increasing volume of documents—invoices, contracts, forms, and reports—in a multitude of formats. The critical information contained within these documents is the core of business operations, yet much of it is buried in documents that demand tedious, manual, and error-prone data entry before it can be used. This inefficiency slows down processes, increases costs, and prevents organizations from fully leveraging their data.
This article serves as a guide to Intelligent Document Processing, explaining what it is, how it works, and the benefits it offers to businesses looking to modernize their operations with automation.
Solving the challenge of manual document processing with AI
The challenge of processing documents is a universal pain point. Whether it’s a stack of invoices, a pile of patient forms, or a flow of customer onboarding documents, the manual effort required to read, understand, and enter this information into business systems is a significant drain on time and resources.
This manual workflow not only slows down operations but also introduces a high risk of human error, which often leads to financial losses, compliance issues, and operational inefficiencies. Intelligent Document Processing (IDP) emerges as a powerful solution, leveraging the latest advancements in artificial intelligence to solve this problem at its core.
What is intelligent document processing (IDP)?
Intelligent Document Processing (IDP) is a technology that leverages Artificial Intelligence and Machine Learning to automatically capture, interpret, and process data from a wide range of documents — from contracts and invoices to employee onboarding forms. Unlike traditional Optical Character Recognition (OCR), which simply converts images of text into machine-readable format, IDP goes further. It uses AI models to understand the context of the information, enabling accurate processing of structured documents (like forms), semi-structured documents (like invoices), and unstructured documents (like contracts or emails) with minimal human intervention.
IDP, in essence, can ‘read’ and ‘understand’ documents, making it essential for automating document workflows in digital transformation.
The evolution from OCR to IDP: a game-changer in automation
To understand the power of Intelligent Document Processing, it helps to see how it improves on its predecessor, Optical Character Recognition (OCR).
- Traditional OCR: This long-standing technology converts images of printed text into editable, machine-readable characters. While useful for digitizing documents, it lacks context. OCR cannot reliably distinguish between fields like invoice numbers and PO numbers, nor adapt to new document layouts, which often leads to errors.
- Intelligent Document Processing (IDP): IDP builds on OCR and enhances it with AI technologies such as Machine Learning, Natural Language Processing (NLP), computer vision, and Generative AI. This allows IDP to adapt to new document formats, extract information based on meaning rather than position, and handle variations with high accuracy. For example, it can identify key fields on an invoice even if the layout is completely new.
Organizations adopting IDP report a 60–70% reduction in processing time, underscoring the efficiency gains compared to OCR alone. The shift represents a move from basic text capture to true data intelligence.
A deeper look: How Intelligent Document Processing works
An intelligent document processing solution follows a well-defined process to automate document-centric tasks.
Ingestion and data capture
The process begins with the ingestion of documents from various sources. An IDP system can capture documents from email attachments, shared network folders, FTP sites, physical scanners, or a web portal. This multi-channel ingestion ensures that all documents, regardless of how they are received, are fed into a single, unified automation workflow.
Classification and contextual extraction
Once ingested, the IDP system’s AI models automatically classify the document (e.g., as an invoice, a contract, a purchase order). It then applies its learned intelligence to extract the relevant data points. For an invoice, for example, it will identify the vendor name, invoice date, total amount, line items, and currency, even if these fields are in different locations on different vendor invoices.
Validation and human-in-the-loop (HITL)
To ensure maximum accuracy, IDP solutions often incorporate a “Human-in-the-Loop” (HITL) feature. The system’s confidence in a data point is measured, and if it falls below a certain threshold, the item is flagged for a human operator to review and correct. This not only ensures data integrity but also serves as a critical feedback loop, as the system “learns” from the human corrections and improves its accuracy over time.
Integration and export
The final step is the most powerful. The extracted and validated data is automatically exported to an organization’s existing business systems. Through seamless integration with ERPs, CRMs, and other applications, the data can be used to trigger downstream processes, such as a payment workflow in accounts payable or a record update in a customer service database.
The transformative benefits of IDP
Intelligent Document Processing is rapidly becoming key in modern automation strategies. The global IDP market was valued at USD 2.30 billion in 2024 and is projected to swell to USD 12.35 billion by 2030, growing at a remarkable 33.1% compound annual growth rate—demonstrating the escalating importance and investment in this technology. Implementing an IDP solution delivers a range of significant benefits that drive business value.
- Drastic cost savings and increased efficiency: By automating data extraction and processing, IDP dramatically reduces the need for manual labor. This leads to significant cost savings on administrative tasks and allows teams to process a much higher volume of documents even with limited resources, resulting in a more efficient operation.
- Enhanced accuracy and reduced errors: Manual data entry is a leading cause of errors. IDP, with its AI-powered validation and HITL capabilities, ensures that data is captured with a much higher degree of accuracy, reducing the need for costly rework and preventing downstream issues.
- Real-time data visibility and analytics: By turning raw data into usable information, IDP delivers real-time visibility and access to key business metrics. Finance teams, for instance, can instantly see which invoices are pending approval, while logistics teams can track delivery receipts in real time. This visibility equips organizations with the reliable data they need for stronger reporting and more informed strategic decision-making.
- Improved compliance and auditability: IDP creates a clear, digital audit trail of every document and the data extracted from it. This enhanced traceability simplifies compliance with internal policies and external regulations, and makes the audit process faster and more reliable.
- Better employee morale and strategic focus: By eliminating the tedious and repetitive work of manual data entry, IDP frees up employees to focus on more strategic, analytical, and customer-facing tasks that leverage their unique skills. This leads to higher job satisfaction and a more innovative workforce.
Common Use Cases for Intelligent Document Processing
To see how Intelligent Document Processing delivers real value, let’s look at some of the most common use cases in action.
Invoice processing (Finance & Accounting)
Managing invoices is a universal task for every business. With IDP, organizations can automatically extract vendor details, invoice numbers, dates, and amounts, regardless of the format or layout. This eliminates manual data entry, accelerates approvals, and ensures financial data is accurate and audit ready.
Employee onboarding (HR)
HR teams handle a wide range of forms and IDs during the hiring process, from tax forms to employment contracts. IDP streamlines this process by capturing and validating data from these documents, reducing errors and giving HR more time to focus on employee experience and engagement.
Delivery receipts and POs (Operations)
Whether in manufacturing, retail, or logistics, businesses rely on accurate tracking of goods and materials. IDP can read and process delivery receipts, bills of lading, and purchase orders, enabling real-time visibility into supply chain performance and reducing costly delays or mismatches.
These examples highlight just a fraction of what Intelligent Document Processing can do. Because nearly every department relies on documents, IDP offers organizations a versatile tool that cuts across functions, improving accuracy, reducing costs, and creating real-time visibility. Whether in finance, HR, or operations, the ability to automatically capture and understand information unlocks efficiency and scalability that traditional manual processes simply cannot match.
The Auxis approach to IDP: Powered by UiPath
Auxis delivers market-leading IDP solutions through an exclusive and strategic partnership with UiPath, a recognized leader in business process automation. This partnership combines UiPath’s powerful automation platform with Auxis’ deep expertise in digital transformation and operational excellence.
Our comprehensive IDP service offering includes:
- Opportunity Analysis: Together, we identify where Intelligent Document Processing will deliver the greatest impact and create a business case to guide your automation journey.
- Solution design and development: We design and configure a tailored IDP solution that integrates seamlessly with your existing technology stack.
- Implementation and integration: Our experts implement the solution, ensuring a smooth transition and end-to-end automation of your document-centric workflows.
- Ongoing support and maintenance: We provide continuous support to ensure the system performs optimally and adapts to new document types and business needs.
Want to see how your organization can achieve real ROI from intelligent document processing? Schedule a consultation to speak with our experts or explore our learning center for more trends and insights.
Frequently Asked Questions
What is the main difference between OCR and IDP?
How does IDP improve accuracy?
Can IDP be used for different types of documents?
How does Auxis' partnership with UiPath benefit its IDP solutions?
What is "Human-in-the-Loop" (HITL) and why is it important?