The tools currently available to transcript-receiving institutions were not developed to process the variety of formats. Plus, many tools currently on the market rely on outdated technology that can only extract alphanumeric characters.
As a result, significant and time-consuming manual configuration and intervention is required from admissions, registrar and enrollment management staff in order to process these PDF transcripts.
— Chris Goodson, Chief Growth Officer, National Student Clearinghouse
The National Student Clearinghouse and AstrumU have launched PDF-to-Data, a machine-learning service that has demonstrated accuracy translating PDF transcripts into an industry-standard data format to enable automated ingestion. The resulting data will be used to optimize processes related to admissions, transfer credit, and financial aid.
The data files can be uploaded directly to your CRM or SIS without any manual intervention.
The best part? No configuration or IT resources are required for you to receive transcripts as standardized data files.
≤5 min
processing time per transcript
10
transcript instances required to onboard a new sender
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