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GradeLab is an AI-powered grading platform designed to automate exam evaluation for schools, universities, coaching centers, and other assessment-driven organizations. It supports handwritten grading, digital grading, and on-screen marking, helping institutions process exams more efficiently while keeping teachers in control of final results.
The platform can extract and structure exam data from scanned papers, recognize handwritten answers, and handle a wide range of formats, including essays, math problems, diagrams, MCQs, and mixed-question papers. It also includes question authoring tools, such as generating questions from PDFs and creating LaTeX-based question papers, along with exam proctoring, API access, and detailed reporting for class performance, question difficulty, and student progress.
GradeLab is built for educational assessment workflows where accuracy, consistency, and data visibility matter. Its features are intended to reduce manual grading effort, support multilingual exams, and provide actionable analytics for institutions managing digital exams, board exams, language tests, and large-scale academic assessments.
Website: gradelab.io
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