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GenAI Features

GenAI Workbench

  • LLM Customization
  • LLM Model Repositories

GenAI Conversational Assistant

  • Document/Text Summarization
  • Contextual Q&A
  • Instructional Recommendations
  • Email Synthesis

Intelligent Search


  • Generate a text response, based on the document type, the query, and the input parameters
  • Ability to cite source references, and specify the response section(s)

Workflow of Intelligent Document Processing


Benefits of Intelligent Document Processing

Automated document classification and extraction

Reduced time taken to analyze the overall document pipeline

Improved data extraction accuracy

Redacted PII and sensitive data

How to Choose the Ideal IDP Solution for your Business?

Selecting the right IDP solution involves assessing your organization's needs, scalability, security features, user experience, compliance alignment, customization options, vendor reputation, and cost-effectiveness. This comprehensive guide ensures you make an informed decision that enhances security, efficiency, and user satisfaction across your business.


Use Cases

QDox is used across industries. Here are some intelligent document processing use cases:

CFOs can manage sales transaction documents, enabling deal desk automation and data analytics.

Public healthcare departments can process laboratory reports, vital records, and clinical documents.

State & local governments can utilize QDox for identity verification and citizen benefit forms processing.

Higher education institutions use intelligent document processing for enrollment services, business services & administration, processing scholarship applications, and loan documents processing & verification.



Technology Stack

FAQ

Intelligent Document Processing (IDP) refers to advanced automation technology that utilizes artificial intelligence and machine learning algorithms to extract, process, and manage information from unstructured documents. It enables businesses to streamline document workflows, improve data accuracy, and reduce manual labor, leading to increased efficiency and cost savings.

Intelligent Document Processing (IDP) and Document AI are both technologies that deal with document processing, but they have distinct differences. IDP primarily focuses on automating the extraction and processing of data from unstructured documents like invoices, contracts, and receipts. It utilizes AI and machine learning to identify key information and streamline document workflows.
On the other hand, Document AI, also known as Document Intelligence, is a broader term that encompasses various technologies and techniques to understand and analyze documents. It includes IDP but goes beyond data extraction to involve tasks like document classification, language translation, and sentiment analysis.

To integrate IDP into your business, begin by identifying areas where document processing can be streamlined. Choose a suitable IDP solution that aligns with your needs and budget. Digitize documents and implement the solution in a pilot phase to assess its effectiveness. Scale up gradually across different departments while ensuring seamless integration with existing systems. Monitor performance, gather feedback, and address security and compliance considerations. Measure ROI to evaluate the impact of IDP on efficiency and cost savings.

QDox is used across industries. Here are some intelligent document processing use cases:

  • CFOs can manage sales transaction documents, enabling deal desk automation and data analytics.
  • Public healthcare departments can process laboratory reports, vital records, and clinical documents.
  • State & local governments can utilize QDox for identity verification and citizen benefit forms processing.
  • Higher education institutions use intelligent document processing for enrollment services, business services & administration, processing scholarship applications, and loan documents processing & verification

  • Automated document classification and extraction
  • Reduced time taken to analyze the overall document pipeline
  • Improved data extraction accuracy
  • Redacted PII and sensitive data

IDP can process a wide range of documents, including:

  • Invoices
  • Purchase orders
  • Receipts
  • Contracts
  • Insurance forms
  • Shipping documents
  • Bills of lading
  • Medical records
  • Tax forms
  • Employment applications
  • Expense reports
  • Legal documents
  • Banking statements
  • Academic transcripts
  • Human resources documents

This list is not exhaustive, as IDP can handle various other types of unstructured documents commonly found in businesses and organizations.

OCR stands for Optical Character Recognition, a technology that converts scanned images or digital documents into machine-readable text. It enables computers to recognize and extract text from images, allowing for the automated processing and analysis of documents. OCR plays a crucial role in various applications, including digitizing paper documents, facilitating text search in scanned files, and enabling data extraction for further processing in intelligent systems.

NLP is Natural Language Processing, an AI subfield for computers to understand, interpret, and interact with human language. It's used in chatbots, translation, sentiment analysis, and more, revolutionizing human-machine communication.

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