Discover how Intelligent Document Processing can transform your workflow, saving you time, effort, and resources.

Do you spend hours each day manually processing documents? Or you find that your work is stalled till your data processing team reviews the data extracted by OCR? If so, you’re not alone.

Businesses of all sizes struggle with the time-consuming and error-prone task of manually extracting and reviewing data from documents. But there’s a better way.

IDP is like having a virtual assistant that handles your document-related tasks automatically. Powered by advanced AI technology, IDP automates data extraction, content analysis, and document organization, making your work life easier.

What is IDP?

Intelligent Document Processing (IDP) is the use of artificial intelligence and machine learning algorithms to automate document-related tasks and streamline document processing workflows.

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How does IDP work?

At its core, IDP aims to eliminate the manual effort, errors, and inefficiencies associated with traditional document processing methods. By utilizing advanced OCR (Optical Character Recognition), NLP (Natural Language Processing), and ML techniques, IDP can understand the structure and content of documents, extract relevant data, and automate subsequent actions based on predefined rules.

Why use IDP?

There are many benefits to using IDP, including:

  • Improved accuracy: Eliminate the risk of human errors associated with manual data entry. IDP ensures accurate extraction of key information from various documents, boosting data integrity.
  • Scale your operations: As your business grows, IDP grows with you. It effortlessly handles increasing volumes of documents, ensuring your processes remain efficient and scalable.
  • Increased customer satisfaction: improve customer satisfaction by delivering faster and more accurate service
  • Improved decision-making: IDP can help businesses to make better decisions by providing them with access to real-time data and insights
  • Improved compliance: IDP can help businesses to improve their compliance with regulations by ensuring that data is accurately and consistently entered
  • Reduced risk: Reduce risk of fraud and error by automating the document processing process

The IDP Tech Stack

At its core, IDP combines the power of AI, ML, NLP to automate document processing workflows. Let's break down the technology stack that drives its remarkable capabilities:

Optical Character Recognition (OCR)

OCR forms the foundation of IDP. It scans and analyzes documents, recognizing and converting printed or handwritten text into machine-readable data. This enables IDP to extract information from various document formats accurately.

Machine Learning (ML) Algorithms

IDP utilizes ML algorithms to train its models. These models learn from vast amounts of data to recognize patterns, identify document structures, and improve the accuracy of data extraction over time. ML enables IDP to handle diverse document types and adapt to varying layouts.

Natural Language Processing (NLP)

IDP's NLP component adds linguistic intelligence to the system. It enables IDP to comprehend and interpret human language within documents, extracting meaningful insights, identifying entities, and understanding contextual relationships. NLP enables IDP to process complex language structures and extract specific information accurately.

Data Extraction Rules Engine

A data extraction rules engine allows users to define and customize extraction rules based on their specific document requirements. This engine enables IDP to adapt to different document formats, layouts, and variations, ensuring precise extraction of desired data fields.

Artificial Neural Networks (ANN)

ANN is a machine learning model inspired by the structure and functionality of the human brain. It can be utilized in IDP to enhance the accuracy of data extraction and improve the system's ability to learn and recognize complex patterns in documents.

Data Analytics and Reporting

IDP can incorporate data analytics and reporting capabilities to provide deeper insights into document processing workflows. By leveraging data visualization tools and analytics algorithms, IDP can generate reports, identify bottlenecks, measure key performance indicators (KPIs), and drive continuous process improvement.

Computer Vision

This technology enables IDP to interpret and understand visual elements within documents. It can detect and extract information from images, such as logos, signatures, stamps, or specific regions of interest. Computer vision algorithms help improve accuracy in scenarios where visual content plays a crucial role.

Integrations and APIs

 IDP can integrate with other technologies, systems, and platforms using application programming interfaces (APIs). This allows seamless data exchange, synchronization, and collaboration between IDP and other enterprise systems like CRM, ERP, or document management solutions, maximizing the value of document processing automation.

It’s important to note that the specific technologies incorporated in an IDP solution may vary based on the provider, the specific use case, and the desired functionalities. The core technologies of OCR, ML algorithms, and NLP form the foundation of IDP, while additional technologies can be integrated to enhance its capabilities and tailor it to specific requirements.

IDP Workflow in Action

Document Ingestion

IDP begins by ingesting documents from various sources, such as emails, file uploads, or integrated systems. It supports multiple file formats, including PDFs, scanned images, Word documents, and more.

1

Pre-processing and Cleaning

The system performs pre-processing tasks, such as image enhancement, noise reduction, and skew correction, to optimize the quality of document images. This ensures accurate data extraction in subsequent steps.

2

Document Classification

IDP uses ML algorithms to classify documents based on their content and purpose. It automatically categorizes them into predefined classes or custom categories, making it easier to organize and route documents accordingly.

3

Data Extraction

IDP employs OCR, ML, and NLP techniques to extract specific data fields from documents. It can capture customer names, addresses, invoice numbers, purchase details, or any other desired information, with high accuracy. Advanced techniques like entity recognition and pattern matching help identify and extract complex data structures.

4

Data Validation and Verification

IDP validates and verifies extracted data against predefined rules or databases. It ensures data integrity and accuracy by performing checks for consistency, completeness, and compliance. Any discrepancies or errors can be flagged for manual review or automated resolution.

5

Workflow Automation and Integration

IDP seamlessly integrates with existing systems, such as Content Management Systems (CMS), Enterprise Resource Planning (ERP) software, or other business applications. It automates document routing, triggers actions based on extracted data, and initiates approval workflows, enhancing efficiency and collaboration.

6

Analytics and Insights

IDP captures valuable insights from the processed documents, enabling organizations to gain deeper visibility into their data. This data can be used for trend analysis, performance tracking, compliance reporting, and decision-making, driving business growth and optimization.

7

Who is Using IDP?

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Finance and Banking

Financial institutions, including banks, insurance companies, and accounting firms, are utilizing IDP to automate invoice processing, streamline loan applications, extract data from financial statements, and enhance compliance with regulatory requirements. IDP helps them accelerate processes, reduce errors, and improve customer experiences.

Healthcare

Hospitals, clinics, and pharmaceutical companies are adopting IDP to automate patient record management, extract data from medical forms, process insurance claims, and enhance the accuracy of medical coding and billing. IDP ensures secure handling of sensitive healthcare documents and facilitates seamless information exchange.

Legal and Compliance

Law firms, legal departments, and compliance teams are turning to IDP to automate contract management, streamline document review and analysis, and improve regulatory compliance processes. IDP enables them to extract critical clauses, validate terms, and efficiently handle vast volumes of legal documents.

Retail and E-commerce

Retailers and e-commerce businesses leverage IDP to automate order processing, extract customer data from receipts and invoices, manage inventory documents, and improve supply chain visibility. IDP enables them to speed up order fulfillment, enhance inventory management, and provide seamless customer experiences.

Logistics and Transportation

Logistics and transportation companies rely on IDP to automate shipment documentation, extract data from bills of lading, manage delivery receipts, and streamline customs clearance processes. IDP helps them reduce manual effort, improve data accuracy, and optimize supply chain operations.

Government and Public Sector

Government agencies, municipalities, and public sector organizations are adopting IDP to automate citizen services, process permits and applications, digitize records, and enhance information sharing. IDP facilitates efficient digital transformation, enabling government entities to provide better services to citizens.

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Discover the AI Enhancing Document Processing

Classification

Our IDP solution leverages AI techniques like Neural Networks, K-Nearest Neighbors (K-NN), Decision Trees, Random Forests, Support Vector Machines (SVM), and Naïve Bayes. These algorithms accurately predict two-class and multi-class categories, streamlining document categorization and automation.

Regression

With techniques such as Linear Regression and Logistic Regression, our IDP solution predicts values and enables data-driven decision-making. By analyzing document patterns and relationships, businesses gain precise forecasting capabilities and actionable insights.

Clustering

Infrrd's IDP solution employs K-Means clustering to uncover inherent structures within document datasets. This technique automatically groups and segments documents based on similarities, facilitating efficient document management and analysis.

Anomaly Detection

Our IDP solution incorporates advanced anomaly detection techniques. By identifying unusual data points, businesses can proactively manage risks and ensure data quality, improving overall document processing accuracy.

By using AI techniques, we can automate document processing tasks that are typically done manually, such as:

  • Extracting data from documents

    Save Time
  • Validating data

    improve accuracy
  • Categorizing documents

    reduce costs
  • Routing documents to the right people

    improve compliance

Tailoring the IDP Solution to Your Enterprise

Seamless Integration into Your Enterprise Environment

Integrating Intelligent Document Processing (IDP) into your enterprise environment is a breeze with Infrrd's flexible approach. We offer two options for IDP integration:

  • API Access: With API access, your enterprise systems can directly connect to the IDP platform using our robust APIs. One API allows for seamless document ingestion into IDP, while another API facilitates the extraction and retrieval of processed data. This streamlined integration ensures a seamless flow of documents and extracted information between your systems and IDP.
  • Solution Access: For more control and management capabilities, our solution access option allows your enterprise to log into and control IDP using Infrrd's intuitive user interface. This includes functionalities such as corrections, training, performance management, and more. APIs are still utilized to efficiently feed documents into the IDP platform and extract processed data, ensuring a cohesive integration experience.

Cloud or On-Premise Solution: The Choice is Yours

Infrrd understands that different enterprises have unique requirements for their IDP deployment. That's why we offer both cloud and on-premise solutions, providing the flexibility to choose the most suitable option for your business:

  • On-Premise Solution: If you prefer to have full control over your hardware infrastructure, our on-premise solution allows IDP to run on your own hardware, managed by your dedicated IT staff. This option is ideal for enterprises with specific data storage requirements that mandate keeping sensitive data within their own environment.
  • Cloud Solution: Our cloud-based IDP solution offers the benefits of IDP-as-a-service. It delivers a secure, elastic, scalable, and high-performance environment, backed by robust service level agreements (SLAs). The cloud deployment eliminates the need for extensive hardware management, providing hassle-free access to IDP's powerful capabilities.

Discover the seamless integration possibilities and deployment options of IDP with Infrrd today!

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FAQs on IDP Intelligent document processing

What is the difference between OCR and IDP intelligent document processing?

Optical Character Recognition (OCR) focuses on character recognition and converting text images into editable text. In contrast, IDP (Intelligent Document Processing) takes a more comprehensive approach, integrating OCR technology with intelligent processing methods to automate workflows and document management.

IDP solutions such as Infrrd employ machine learning algorithms to categorize documents based on content, design, or additional features. This advanced capability distinguishes IDP as a more evolved solution for automating and optimizing document processing workflows compared to the singular focus of OCR technology. Check out our executive guide to IDP to learn more.

What are the challenges of intelligent document processing?

Intelligent Document Processing (IDP) software encounters several challenges in its deployment. Ensuring the accuracy of extracted data poses a key challenge, requiring sophisticated algorithms to handle diverse document structures. Addressing potential biases and inaccuracies in data extraction is crucial for maintaining reliability.

Integration with existing systems can be complex, necessitating seamless interoperability. In handling sensitive information, robust security measures and adherence to regulatory compliance become paramount.

To know more, book a 15-min session with an IDP expert

How accurate is Intelligent Document Processing 101?

Intelligent Document Processing 101, encompassing integrated IDP solutions, offers remarkable accuracy and efficiency in document processing. With streamlined workflows and minimal human intervention, these solutions achieve over 95% fully automatic processing.

The automation capabilities of Infrrd IDP lead to data extraction accuracy rates reaching up to 99.9% for diverse document types. This emphasizes the reliability and precision that our Intelligent Document Processing 101 automation brings to document processing, making it a robust solution for organizations seeking high accuracy and efficiency in their document workflows.

To know more, book a 15-min session with an IDP expert

What is intelligent document processing analytics?

Intelligent Document Processing (IDP) analytics encompasses a suite of tools and solutions designed to automate and optimize document processing. Leveraging technologies like computer vision, robotic process automation (RPA), cognitive automation, machine learning, and natural language processing (NLP), IDP goes beyond mere data processing.

It empowers automated systems to comprehend the document's purpose and the relevance of its data. IDP solutions such as Infrrd play a pivotal role in transforming document processing workflows, ensuring efficiency, accuracy, and a nuanced understanding of the content for enhanced decision-making.

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What is data processing software?

Data processing software is designed to improve or substitute manual data entry by efficiently extracting essential information from business documents for integration into software programs or company workflows.

This software, often employed for digitized versions of paper documents through document scanners, plays a crucial role in streamlining business processes by automating data extraction. Interested to know more? Explore Infrrd's recognition as a Leader in the IDC MarketScape 2023 by clicking here.

To know more, book a 15-min session with an IDP expert

Does your system work out of the box or does it require training?

Common documents and use cases work out of the box.  The cool thing is your solution will improve as the system learns from your documents upfront and over time.

To know more, book a 15-min session with an IDP expert

How does your solution handle corrections?

Did you know no system is 100% accurate all the time?  When extraction errors occur you want to correct them.  We provide a simple UI that your business analyst will use to make corrections.

To know more, book a 15-min session with an IDP expert

Does your solution work with handwriting?

Our solution excels at data extraction from handwriting.  We've got proprietary methods and techniques that do the trick.  It's pretty cool.  See for yourself.

To know more, book a 15-min session with an IDP expert

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