Modern organizations deal with vast volumes of documents. Intelligent document processing (IDP) is the automated extraction of data, converting it into structured, actionable and machine-readable information.
IDP is an evolution of traditional document scanning and digitization technology such as optical character recognition (OCR), which has been used for decades to convert paper-based text into digital data. IDP typically operates across four functions: document ingestion, data extraction, data normalization and verification and data export. It lies at the core of the operational workflow of many businesses today, particularly in document-heavy sectors such as financial, legal and health.
“The IDP market is expanding significantly due to the growing need for automation and digitization in various industries,” says Anoch Mane, research analyst at QKS Group.
Download this report to explore:
- The trends shaping the IDP landscape.
- Case studies and guidance from Deutsche Post DHL Group, Manchester University NHS Foundation Trust and Ecclesia Group.
- Key IDP success factors and challenges.