Enterprise-grade Intelligent Document Processing

Intelligent Document Processing (IDP) uses AI to extract and process data from different types of documents: structured, semi-structured, or unstructured. With NewgenONE IDP, businesses can handle large volumes of documents more efficiently by automating data capture and classification.

IDP helps businesses reduce manual work, improve accuracy, and accelerate decision-making. Newgen’s solution boosts operational efficiency by automating document handling across departments and workflows.

From processing application forms and invoices to managing claims and customer requests, IDP finds application across industries. Newgen enables use cases like invoice management, auto-validation of key trade finance documents such as proforma invoice, purchase order by intelligently capturing and classifying documents.

Choose a solution that combines OCR, AI, and machine learning, supports multi-channel inputs, and integrates easily with your systems. Newgen offers all of this within a unified platform, making implementation smooth and scalable. Newgen also ensures LC workability as per ICC UCP600 rules.

Automated processing follows pre-set rules, while IDP brings in AI to handle variations in documents and make intelligent decisions. Newgen merges automation and intelligence to deliver faster, more flexible document handling.

IDP captures documents, classifies them based on layout or content, and extracts important data using AI and ML. Newgen’s platform adds automation to each step: capture, transform, and deliver, ensuring end-to-end efficiency.

OCR converts scanned images into text. IDP builds on that by using AI to understand context, extract relevant information, and process it. Newgen combines OCR with intelligent extraction for better outcomes.

By minimizing manual data entry and using AI to detect and extract data, IDP ensures higher accuracy. Newgen’s solution learns over time to deliver even better precision with each use.

Yes, modern IDP tools can recognize and process handwritten content. Newgen supports this capability, helping organizations handle forms, applications, and legacy documents with ease.

Intelligent Document Processing (IDP) offers significant advantages across enterprise functions like trade finance, operations, legal, HR, and customer service. From automating invoice processing to streamlining employee onboarding or handling customer KYC, IDP reduces manual intervention and boosts speed.

Newgen’s IDP platform empowers these departments by intelligently capturing, classifying, and routing documents for faster workflows and better compliance.

IDP is powered by a blend of Optical Character Recognition (OCR), Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). These technologies work together to extract structured and unstructured data with high accuracy.

Newgen’s IDP platform combines these cutting-edge technologies in a unified, low-code environment, enabling enterprises to automate document-heavy processes at scale.

RPA (Robotic Process Automation) automates repetitive, rule-based tasks, while IDP (Intelligent Document Processing) focuses on understanding, classifying, and extracting data from documents using AI.

IDP deals with unstructured data, and RPA handles structured workflows. Newgen integrates both within its automation platform, offering end-to-end process transformation.

Combining IDP and RPA unlocks hyperautomation, where intelligent document capture feeds into automated workflows. This synergy accelerates end-to-end processes, reduces human error, and ensures seamless decision-making.

Newgen’s unified platform bridges IDP with RPA, enabling enterprises to transform everything from claims handling to loan processing with intelligence and automation.

Yes, combining IDP with process mining helps enterprises gain real-time visibility into document-heavy workflows, identify bottlenecks, and optimize efficiency.

Newgen enables this integration through its low-code process automation platform, letting businesses continuously monitor, refine, and improve their document-centric processes for measurable outcomes.

Any organization that handles a high volume of documents, be it banks, insurers, government bodies, or shared service centers, should adopt IDP. It’s ideal for those seeking speed, accuracy, compliance, and cost efficiency.

Newgen’s IDP solution is built to serve enterprises of all sizes, offering scalable automation for document management across industries.

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