Optical Character Recognition & Intelligent Transcript Processing Solution

Clemson University is seeking proposals for an Optical Character Recognition (OCR) and intelligent transcript processing solution to support transfer credit evaluation processes. The solution should automate transcript ingestion, OCR processing, and structured data extraction, with a primary focus on enabling efficient and accurate transfer credit evaluation workflows. The solution must integrate with Technolutions Slate and Ellucian Banner, and provide configurable workflow automation, batch and real-time processing, and manual review interface for exception handling. The solution must also provide reporting on processing volume, error rates and exceptions, processing time, and allow export of data for institutional reporting. • Key features of the solution include: • OCR and data extraction • Data structuring and normalization • Integration with Slate and Banner • Workflow and exception handling • Reporting and analytics • Technical requirements, including cloud-based, FERPA-compliant data handling, API-based integration capabilities, and role-based access controls.