Specifications include, but are not limited to: 1.1 Provide a tool that uses modern techniques of OCR and Artificial Intelligence to read and extract data from student transcripts. 1.2 Provide a tool that can read various file formats in which transcripts are received, including scanned image (tiff, jpg, png) as well as PDF. 1.2.1 Tool or process must be able to accept meta-data with transcript uploaded for data extraction processing (e.g. University provides University student ID with transcript to be processed) and return meta-data (e.g. University provided student ID) as part of the data extract delivered to the University. 1.3 Provide a tool that can successfully process transcripts without requiring preconfiguration by customer. 1.4 Solution must be capable of processing transcripts from nearly any college, university, or high school in the United States with a high degree of accuracy. The word “nearly” is used to recognize that there are a few institutions that produce transcripts that do not adhere to standardized grading or course formats. 1.5 Solution must leverage a shared library of algorithms so that the intelligence of transcripts trained from one customer becomes shared among all customers. 1.5.1 Explain what tools or processes are provided to train the system when a new document type or transcript is required, and what change control mechanisms, if any, are provided for “teaching” the software.
