Natural Language Processing for Document Automation

Natural language processing helps computers read and interpret the information contained in documents, emails, forms, correspondence, and other text-based content. OMG uses natural language processing as part of intelligent document processing to identify document types, extract important information, and move that information into the systems and workflows your employees already use. Instead of asking employees to read, sort, and enter information from every incoming document, UbiMAIL helps automate much of the process while keeping people involved when review or verification is needed.

What Is Natural Language Processing?

Natural language processing, often shortened to NLP, is a type of artificial intelligence that helps computer systems work with human language.

Traditional optical character recognition can convert an image of a document into machine-readable text. NLP goes further by helping the system determine what that text means.

What we offer:

  • Text Classification & Sentiment Analysis
    Categorize content and gauge sentiment in real-time to better understand your customers and stakeholders.
  • Named Entity Recognition (NER)
    Automatically identify and extract names, organizations, dates, locations, and other key data from unstructured text.
  • Information Extraction & Summarization
    Pull out critical insights from documents, emails, and chats — or condense lengthy content into digestible summaries.
  • Document Understanding
    Combine NLP with OCR and ML to parse complex documents like contracts, claims, or forms with high accuracy.
  • Custom NLP Models
    Tailor-built models for your domain, trained on your data for maximum relevance and accuracy.

Benefits:

  • Increase operational efficiency with intelligent automation
  • Improve decision-making through data-driven insights
  • Enhance customer experience with smart text interfaces and bots
  • Reduce manual effort and error-prone processes

Our NLP services are designed to scale with your needs.

Why Is NLP Important for Document Processing?

Organizations receive information in many formats. Some documents follow a predictable template. Others arrive as emails, letters, contracts, forms, scanned images, or attachments with different layouts and wording.Traditional capture tools often depend on fixed templates and exact field locations. That approach becomes difficult to maintain when documents vary from one sender, department, or location to another.Natural language processing helps document automation systems work with less structured content. It can evaluate the words, context, layout, and relationships within a document instead of relying only on where information appears on the page.

Illustrated figure in a burgundy blazer scanning incoming mail at a mailroom counter, with a digital document workflow panel showing capture, classify, extract, and route steps

This can reduce the amount of time employees spend:

  • Reading incoming documents
  • Identifying document types
  • Searching for important information
  • Entering data into business systems
  • Forwarding documents to the correct department
  • Checking incomplete or incorrectly entered data
  • Responding to routine document requests