OpenText Capture

OpenText Capture is the enterprise capture and intelligent document processing product carried from the Captiva lineage. It handles high-volume scanning, optical character recognition, classification, and data extraction for document-heavy processes and accounts payable, mailroom, HR, claims processing, and regulated records programs.

Capture is IDP-capable by design. Modern capture programs blend traditional OCR with AI classification, machine-learned extraction, and exception workflows. OpenText Capture supports all three in one product, with a configurable workflow layer that routes classified content into downstream business systems.

Implementing Capture is primarily a process redesign question. Programs that simply overlay capture on existing paper-heavy flows get modest savings. Programs that redesign the downstream workflow to take advantage of structured extraction get order-of-magnitude improvements. Merito's engagements start with the process design before configuring capture.

Merito has seen customers roll out Capture, hit targets on OCR accuracy, and find that downstream processes were not redesigned to consume structured extraction. The paper workflow still exists; capture just added a digital layer. That is a process design failure, not a product one. Merito's engagements start with the process redesign.

For AP specifically, the pairing of Capture with VIM for SAP could be the right target architecture. Captured invoices flow into SAP through VIM's AP workflow, touchless processing targets become realistic, and exceptions route to human reviewers inside the SAP UI.

AI classification has matured enough to be a default for diverse document types. Programs with homogeneous documents (single vendor AP, one claim form) may still run better on rule-based classification. Programs with heterogeneous scope benefit clearly from AI classification on top.