A platform is sought to support transcript evaluation and credential review for educational institutions in New York. The platform must enable secure uploads and ingestion of records in multiple formats, including PDF, JPEG, PNG, and TIFF. It should accommodate multi-page, unofficial, low-resolution, handwritten, and non-Latin character documents. High-accuracy optical character recognition (OCR) capabilities for both printed and handwritten text are required. Machine-assisted or certified translation to English, with at least 95% accuracy and auditable results, is also essential.

The system should provide a customizable dashboard that allows staff to monitor processing quality, track processing time, and review error reports. It must accurately identify and apply relevant grading scales, credit systems, academic calendars, and transcript formats from both U.S. and international institutions. Real-time tracking of applications—including freshman, transfer, and F-1 international types—and detailed monitoring of processing times through each step must be supported.

Advanced document verification features are needed to detect issues such as tampering, missing pages or marksheets, typographic inconsistencies, pixel or format anomalies, altered seals or signatures, and patterns indicative of diploma mills. The solution should provide automated alerts for suspicious cases, with cases routed to a human evaluator when necessary. Comprehensive audit logging of both AI-generated decisions and manual overrides, role-based access permissions for staff, and detailed audit trails for all record handling activities are required to ensure transparency and security throughout the evaluation process.