Students submit scans or online work. Graders mark answers by clicking rubric items, and changing a rubric item updates every submission that used it. AI-assisted grouping clusters similar answers so one grading decision can apply to many students. Code assignments can be autograded.
It is common in university STEM courses with large enrollments. Regrade requests and grading analytics are built in, and it connects to most learning management systems.
Institutions pay for access. Canvas SpeedGrader and Crowdmark are alternatives. Gradescope suits instructors and teaching assistants who grade many similar assignments.