Hyland IDP
Intelligent Document Processing

Hyland IDP provides AI-powered document capture, separation, classification
and intelligent data extraction and enrichment

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Hyland IDP uses LLMs with generative AI (gen AI) to power document processing and simplify automation design and configuration

Highly scalable, flexible and extensible

Hyland IDP scales to handle high volumes of documents and easily integrates with your enterprise applications and processes, making it easy to deploy in multiple use cases across your organization

Document separation and classification

Hyland IDP intelligently distinguishes between document types and automatically separates individual documents from a set of scanned pages without relying on separators

Data validation

Validation and verification of the extracted content, format and structure of the processed documents with available human-in-the-loop verification options

Intuitive configuration

Gen AI prompt-based design with dynamic suggestions, prebuilt templates, low-code configuration and automatic BPMN-compliant process generation accelerates time to value

AI-powered recognition

Hyland IDP leverages gen AI-powered character recognition of content in the document. It can recognize printed text (optical character recognition), handwritten and hand-printed text (intelligent character recognition), optical marks such as checkboxes, radio buttons, stamps, watermarks and even data in table format

Data extraction

AI-powered extraction of data and metadata from semistructured and unstructured content with intelligent field suggestions.

Data enrichment

Using gen AI, extracted content is enriched with contextually relevant insights and metadata to enable not just recognition but understanding