Intelligent Document Processing
Unlock value from paper documents with AI-powered data extraction and human-in-the-loop
Eliminate manual data
entry, tap into
unstructured text data
Despite extensive digital transformation, most companies have not adopted fully paperless processes. Heavily reliant on manual data entry and data processing, they experience operational inefficiencies and workflow bottlenecks, and limit their access to insights from advanced analytics. Organizations seek to process paper documents more efficiently and to smoothly merge data from paper and digital sources. They need an AI-powered solution to turn paper documents into structured data that goes beyond simple optical character recognition (OCR), to drive omnichannel and analytics transformations.
Value Unlocked
Streamline
Business
Processes
- Faster speed
- Lower price
- Better precision
- Improved compliance
Accelerate
Сustomer-Сentric
Operations
- Improved employee and customer experience
- Enhanced agility, compliance, and responsiveness
Document Processing Framework
Input: Scanned Documents
OCR + NLP+
Human-in-the-loop
Output:
Digital Documents
Data Analytics
Actionable Insights
Text data (input) is captured from a wide range
of sources and interpreted by ML algorithms
Converted data (output) triggers internal workflows to drive
analytics, ML, and other initiatives, or accessed by stakeholders as-is
Exceptions are checked and validated with the
human-in-the-loop system
The results are delivered to stakeholders through
digital channels for decision-making
Use Cases
Robotic Process
Automation (RPA)
Highly manual, repetitive activities like data entry and document processing are best to automate, not only to reduce operational costs, but also to make data flows more flexible, ready for analytics. Faster access to digital data is key to smooth operations.
Streamline operations and improve
decision-making in your organization
Document Processing
in the BFSI industries
Workers in banking, financial services, and insurance handle dozens of thousands of invoices, KYC, purchase orders, insurance claims, loan applications. Highly accurate and fast processing is a driver of business excellence and customer satisfaction.
Achieve the speed and accuracy of
document processing your clients expect
Handling Paperwork
in Healthcare
Administrative personnel and doctors spend no less than 50% of their office time handling various types of paper documents. An automated solution could turn scanned documents structured, easy to search and manage formats, to save time, drive analytics.
Speed up your front- and back-office
paperwork, access insights faster
Documents for Automated Processing
Can Be Found in Almost Any Industry
Banking & Finance
- invoice processing
- income statements
- bank statements
Insurance
- insurance contracts
- insurance claims
- mortgage papers
Healthcare
- patient onboarding
- medical records
- claim-related documents
Human Resources
- HR records
- employee onboarding
records
Telecoms
- custom declarations
- driver logs
- maintenance logs
Manufacturing
- purchase orders
- change requests
- QA records
Supply Chain
- shipping labels
- proof of delivery
- bill of lading
- order tracking
Government
- education enrollment applications
- immigration applications
- tax assessment forms
Automated Document Processing
Intelligent Document Processing solution combines the power of Amazon Textract’s OCR capability and Provectus’ proprietary Natural Language Processing (NLP) technology. Going beyond simple character recognition and data extraction, the solution comprehends the text, identifies and matches the contents of various types of documents to aggregate them in tables. It flags disputed cases for human review, to increase accuracy, and it ensures that the system self-learns and improves over time while keeping humans in the loop.
Types of Documents Processed
structured
semi-structured
unstructured
handwritten
How It Works
Highly accurate processing and matching of documents in various formats.
