Intelligent Document Processing (IDP)

Intelligent Document Processing (IDP) is AI-driven, automated processing of documents. Enterprises must handle large volumes of semi-structured (e.g., invoices, orders) and unstructured documents (e.g., emails, legal documents, procedures) with greater accuracy and speed. Various estimates indicate that 80% of enterprise data is unstructured. Processing these large quantities of documents manually takes an enormous amount of time.

IDP solutions capture data from documents (e.g., email, text, pdf, and scanned documents), categorize/classify documents, and extract relevant data for further processing using artificial intelligence (AI) technologies such as computer vision, optical character recognition (OCR), and Natural Language Processing (NLP).

The benefits for our customers are:

• Increases productivity (operational efficiency, lower costs)
• Reduces processing times
• Reduces data entry
• Reduces labor requirements and optimizes human capital
• Improves accuracy and limits human errors
• Improves customer satisfaction
• Stores and processes documents compliant with GDPR/privacy legislation
• The solution is cloud-native and combines a complete set of AI features with multiple classification and extraction methods, and an intuitive user interface
• Accurate data extraction from best-in-class OCR with 99% accuracy
• Comprehensive Reduction of error-prone manual tasks, up to 90% task reduction

Differentiators compared to other IDP solutions:

• Not only suitable for structured and semi-structured documents but also for unstructured types of documents where context is important to make data meaningful
• Highly accurate OCR-engine embedded (for converting printed or written text from a scanned document or image file into a machine-readable form)
• Single and multi-label classification—user-defined classifiers with easy training for single-value or multi-value output
• Usability: Focus on the business user and not the data scientist
• Cloud-native solution, scalable services-based architecture, deployable in private, public, and hybrid cloud environments
• Document management (DMS) features embedded: Document store, flexible metadata model, authorization, search, and data source integrations

• ProcessMaker IDP can eliminate most data entry activities within document-centric business processes resulting in increased production and lower handling costs
• Enhance customer satisfaction due to faster processing of requests and decision-making
• Reducing human errors by automation and data validation
• Increase competitive advantage of enterprises (better service, more scalable business)
• Optimize human capital of enterprises - focus on more strategic and customer-centric tasks