GenAI-assisted Document Processing

Intelligent document processing involves the extraction of information from paper-based and electronic documents and the utilization of this information to enable the end-to-end automation of document-centric processes. It is also referred to as “intelligent capture”. It captures and extracts information from different types and formats, such as structured, semi-structured, and unstructured documents for further processing.

Intelligent document processing leverages several tools, including artificial intelligence (AI), machine learning (ML), natural language processing, and advanced OCR engines that reduce human involvement and make your business processes more efficient.

With the evolution of technology, the scope of document processing has also increased. Initially, it was limited to scanning physical documents and manually capturing information from them. Then it evolved into extracting information from scanned documents with the help of technologies, such as OCR and ICR.

But with the increasing number of organizations embracing digital transformation, enterprises are now looking at leveraging insights stored in content coming from multiple channels, including email, social, and other applications.

Processing this vast amount of structured and unstructured content became a daunting task and enterprises began investing a lot of resources to handle the burgeoning content. Enterprises were, therefore, on the lookout for solutions that not only automate the whole process of capturing, extracting, and processing content but also require minimal human involvement.

• Conversion of paper-based processes and documents into digitized, actionable data
• Multi-channel data and content capture
• Automatic detection and correction of image distortions for real-time quality improvements in single or multi-page scanned documents
• Security of captured content through authentication and role-based access
• Automated classification, separation, and extraction tools to eliminate labor-intensive, manual processes and enable the delivery of reliable data to business processes
• Support for AI- and ML-based content extraction and a wide array of extraction technologies, including OCR, barcode, MICR, and more
• Trainable, machine learning technology for continuous improvement of classification accuracy
• Integrated robotic process automation for automating repetitive and mundane document-centric processes
• Built-in capabilities to manage document-centric workflows