Intelligent Document Processing (IDP) is a combination of different stack of technologies and automated capabilities that are brought together such as OCR, OMR, ICR, Computer Vision, AI, Machine Learning, Document Management, BPM, Analytics, Access Control, Document Archive and which are available out-of-the-box through the single integrated automated platform. IDP is designed to process complex documents (not just invoices) by extracting required data from scanned or digitally generated documents with further data structuring, processing and automation.
Intelligent Document Processing
Intelligent data extraction | cognitive document classification | image enhancement | automated data processing
What is Intelligent Document Processing?
Key Intelligent Document Processing capabilities
Intelligent Document Processing is not only about invoice processing. True IDP is designed to process complex documents of different structure, quality and nature
Intelligent Data Capture
Target data capture leveraging advanced mathematical models and AI (Artificial Intelligence) algorithms
Data Recognition
Optical Character Recognition (OCR), Optical Mark Recognition (OMR), Intelligent Character Recognition (ICR)
Data Validation
Data validation through user-friendly interface for cases where data recognition level is below the defined threshold
Batch Processing
Processing files containing different types of the documents that are spanning across hundreds of pages
Image Enhancement
Image right-sizing, rotation, whitening background, removing unnecessary noise, image cropping, enhancing contrast, etc.
Document Classification
Cognitive document classification by detecting variations and differences across submitted batches of documents
Document Management
e2e document management, document workflow automation, centralized document archive, smart document search
Analytics and Reporting
Reporting & Analytics to identify bottlenecks, review document processing status, hardware utilization etc.
How Intelligent Document Processing works?
Cognitive Document Classification
Automated document identification and classification by detecting variations and differences across submitted batches of documents regardless of document size and nature (either it is one-page document or file containing multiple document types)
Multipage Documents Processing
Multi-page and multi-document files processing. Processing files containing different types of the documents that are spanning across hundreds of pages / or documents where data table dynamically spanning across multiple pages
Intelligent Data Extraction
Data extraction from the most complex images (scanned or digitally generated documents) leveraging Artificial Intelligence (AI) and advanced mathematical models
Image Enhancement and beyond
Image normalization (image right-sizing, rotation, whitening background, removing unnecessary noise and artefacts, cropping, enhancing contrast, lines straightening, geometric correction, skew detection and correction, thickening or blackening the characters where required) leveraging Computer Vision (CV) Technology and advanced cognitive capabilities
Data Validation
Data validation by authorized users for exceptional cases handling: data verification of recognized characters for cases where data recognition level is below the defined threshold. Robust validation queue management (locking document if other user is working on it, segregation of validation queue based on document origins, etc.)
Reporting and Analytics
Reporting & Analytics capabilities available out-of-the-box supporting to identify faster bottlenecks in document processing queue by providing greater insights over system performance
Document Management
Document workflow automation, centralized document management with profound monitoring, access control and audit trail capabilities, document storage and archiving, intelligent document search including full-text search