How AI-powered transcript processing is replacing manual data entry in admissions and registrar offices and what that means for peak cycle throughput and accuracy.
Transcript processing is one of the more stubborn manual workflows in higher education. Documents arrive in different formats from hundreds of institutions, fields need to be extracted and matched against SIS records, and the volume spikes predictably at exactly the wrong times like peak admissions cycles, transfer deadlines, term starts.
Generative AI handles capture differently than legacy OCR by identifying document layouts, extracting fields like GPA, credits, and course history, and flagging low-confidence extractions for human review rather than passing errors downstream. Clean data exports directly to Banner, Colleague, Workday, or PeopleSoft. Staff review exceptions rather than processing every record manually.
The throughput difference is meaningful for registrar and admissions teams running lean.
Wilkes Community College modernized workflows, cut costs, and improved student services with Softdocs across finance, HR, and student departments.
Conversations with the customer teams who did the work, discussing implementation, lessons learned, and key results.
Live screen-share product sessions that look inside real-world processes and workflows.
Convert document-based transcripts into structured data with unprecedented speed and accuracy.