Intelligent Document Processing

The Ultimate Guide To Intelligent Document Processing (IDP) (2024)8 min read

January 16, 2024   |   6 min read
Intelligent Document Processing (IDP)

The Ultimate Guide To Intelligent Document Processing (IDP) (2024)8 min read

Reading Time: 6 minutes

In the fast-paced world of innovation and competition, how are businesses adapting to the changing landscape of intelligent document processing? In the bustling era of intelligent document processing (IDP), where innovation intersects with competition, the landscape is brimming with a myriad of solutions competing for dominance. The emergence of advanced natural language processing (NLP) has marked a gateway for fresh contenders, yet the true distinguishing factors lie in the fusion of domain expertise and the unfolding capabilities of cutting-edge technology.

In the world of intelligent document processing (IDP), solutions excel in handling structured and semi-structured data, leaving the vast realm of unstructured data relatively untapped. Initially adopted within specific departments, the trajectory of IDP is rapidly evolving. As vendors consolidate their features, there’s a rising demand for platforms accommodating diverse use cases.

Growth propellers for Intelligent Document Processing

Following the competitive scenario and the technological advancements shaping intelligent document processing (IDP), let’s delve into the growth propellers steering this dynamic landscape. The adoption of IDP has surged as businesses aim for efficiency, accuracy, and cost reduction across industries. This surge is driven by critical capabilities like advanced OCR technology and machine learning algorithms, propelling IDP solutions into mainstream adoption. These capabilities include:

  • Computer vision for character recognition, converting large documents into actionable information.
  • Natural language processing for content handling and extraction of elements like dates for data mapping.
  • Text analytics and knowledge graphs for deriving insights from data.

The global intelligent document processing market, valued at $1.1 billion in 2021, is projected to reach $7.4 billion by 2031, growing at a CAGR of 21.7%. Gartner Research highlights the high-growth opportunities for tech CEOs entering this market by focusing on platforms that offer comprehensive solutions.

Having explored the growth drivers and the market’s potential, let’s delve deeper into what intelligent document processing (IDP) entails and how it operates in transforming document management.

What is Intelligent Document Processing (IDP)?

Intelligent document processing uses cutting-edge technologies like Computer Vision (CV), Natural Language Processing (NLP), and Optical Character Recognition (OCR) to extract and interpret data from structured, semi-structured or unstructured documents. This empowers businesses to automate routine tasks, enhance efficiency, and streamline workflows in a data-rich environment.

As organizations grapple with mounting document volumes amid a digital shift, investing in intelligent document processing emerges as a strategic move.

How does Intelligent Document Processing (IDP) work?

But how exactly does intelligent document processing function? According to Gartner, intelligent document processing solutions serve to extract valuable information from textual data, chiefly documents, for analysis and workflow automation.

Gartner outlines a fundamental workflow for an IDP solution, providing a blueprint for optimizing document handling and operational efficiency.

how does idp work?
Source: Gartner

Displayed alongside this information is a visual representation of the intelligent document processing (IDP) workflow sourced from Gartner, illustrating the sequential stages involved in intelligent document processing. Let’s break down each step:

  1. Data Ingestion: Gathers documents from various sources and multiple formats (such as PDF, JPEG, PNG, TIFF) and even multi-page documents, it further integrates with cloud storage (e.g., Google Drive, S3 etc).
  2. Classification: uses AI to recognize and categorize different types of scanned documents, such as invoices, purchase orders, or legal contracts. It automatically categorizes documents based on predefined rules.
  3. Document Preprocessing: The system addresses image issues such as blur or skewness and offers suggestions for enhancement or fixing the document orientation issues.
  4. Extraction: Utilizing OCR and CV, relevant data fields are extracted from the classified documents. extracts structured, semi-structured and unstructured data such as handwriting, key-value extraction, table detection & extraction, logo detection & extraction, signature detection & extraction, QR codes & bar codes detection, check box detection, stamp detection, semantic analysis & Named Entity Recognition (NER) detection, key field recognition (dates, amounts, names, addresses, reference numbers, etc.)
  5. Validation & Feedback loop: Ensuring accuracy and completeness through a validation process, with the system offering feedback for error correction.’s manual override suspends the Straight Through Processing, providing Human-in-the-Loop screens. This setup enables direct human intervention to modify intermediate or final workflow outcomes.
  6. Integration: Validated data can seamlessly integrate with other systems (e.g., ERP or CRM) for further processing or analysis via APIs or provided integration methods. This step eliminates manual data entry, minimizing errors, and saving time by automated extraction processes. Thus presenting extracted data in user-friendly formats like CSV or JSON for easy use.

How’s IDP can help your business?

Having uncovered the foundational stages of intelligent document processing, let’s delve into how’s intelligent document processing harnesses these principles to revolutionize document management.’s intelligent document processing processes any input document types and uses cases using advanced technologies such as NLP, OCR & Computer Vision.

By processing a wide range of documents, IDP can help automate business processes that were previously manual, time-consuming, and error-prone- ultimately reducing the time and effort required to process documents, which in turn increases overall efficiency. 

Some of’s default capabilities to deal with data are structured and semi-structured i.e. tables, outlines/ layouts and differentiating capabilities are handling free text & rich media under the unstructured data category. 

See how’s Intelligent Document Processing works:

how’s Intelligent Document Processing works?
How’s Intelligent Document Processing works’s Impact on Insurance & Financial Services Sector

For instance, let’s see how a solution like’s Intelligent Document Processing can help insurance companies. 

Insurance companies rely heavily on documents, making using IDP imperative to improve automation and process efficiencies. Here are a few use cases within the insurance sector that can benefit from Intelligent Document Processing. 

  • Insurance companies receive a large volume of claims in different formats, such as forms, emails, and scanned documents.’s intelligent document processing extracts data from these documents and automatically populates the relevant fields in the claims processing system.
  • In order to process policy documents, such as applications and renewals, without a miss,’s Intelligent Document Processing (IDP) can help automate the processing of these documents, extract data from various fields and update policy details in real-time.
  • KYC, patient onboarding and other processes can be automated by in a jiffy using its advanced AI capabilities, making it faster & error-free for insurance companies to process and automate the time-consuming manual processes.’s IDP isn’t confined to specific sectors; its AI capabilities transcend industries, offering a scalable solution to streamline document-intensive workflows. This solution is a testament to’s commitment to enhancing operational efficiency, reducing manual overhead, and reshaping the future of document management. Unlocking Endless Possibilities

Let’s delve into the compelling reasons why businesses should consider for all their document processing and automation needs.

  • Insightful Data Extraction: Leverage’s advanced technology combining NLP, OCR, and CV to extract valuable insights from unstructured data in documents like invoices, contracts etc. Efficiently extract Key Value extraction, table detection & extraction, logo detection & extraction, signature detection & extraction and so much more.
  • Vue’s Manual Override- Enabling Human Intervention in Processing Workflows. It allows users to suspend Straight Through Processing, providing Human-in-the-Loop screens. This setup enables direct human intervention to modify intermediate or final workflow outcomes. 
  • User-Friendly Customization: stands out for its user-friendly no-code/low-code platform, allowing businesses to swiftly customize workflows with pre-trained models and data templates, reducing development time and costs.
  • Vue’s Cruise Control- Configurable Workflow Automation: It provides a “set-it-and-forget-it” mode for workflow execution. Users can configure settings and activate automated operations without requiring constant manual intervention.
  • Efficient Contextual Search: Navigate vast document volumes with’s Contextual Search, streamlining exception handling and enhancing scalability and productivity by efficiently locating information based on contextual relevance.
  • Teleport by VueEfficient Model Training through Minimal Input. It optimizes model training by using minimal input, empowering the federation engine for accurate model development. This approach streamlines model building cycles, enhancing efficiency, and providing user-friendly interfaces for simplified and accessible model development.
Gartner idp benchmarks

Future of IDP

Looking ahead, the future of Intelligent Document Processing (IDP) holds immense potential as an integral player in customer experience. Strategic implementation, starting with process mining and creating a robust foundation, allows organizations to reap the full benefits of IDP—cost reduction, improved efficiency, regulatory compliance, and enhanced employee and customer experiences.’s market-leading technologies, delivered through a low-code/no-code approach, power Vue Intelligent Document Processing—a cutting-edge solution for the digital workforce. Our approach, featuring pre-trained skills and adaptability to diverse document types, empowers users without the need for OCR or machine learning expertise.

As we continue to evolve, remains committed to providing a scalable solution that learns and adapts, ensuring the seamless application of technology across various business areas.


In the competitive landscape of document processing solutions, businesses must make strategic choices to optimize productivity and reduce manual work.’s IDP emerges as a recommended solution for document-intensive workflows, offering flexibility, ease of training, and support for “human in the loop” workflows.

Unlike many intelligent document processing vendors limited in use cases and language support,’s Intelligent Document Processing provides a comprehensive approach, enhancing overall efficiency.

To experience the transformative capabilities of’s IDP firsthand, sign up on our intelligent document processing page for a free demo!