Frizzle is an AI-powered grading system for K-12 math classrooms. It allows teachers to continue using paper-based student work while automatically reading handwritten solutions through computer vision to produce granular data on student progress and misconceptions.
Teachers photograph stacks of assignments using a phone, document camera, or scanner. The system links each page to the correct student, parses every step of the work rather than only final answers, identifies multiple solution paths, and tags specific misconceptions. Results appear in roughly eight minutes per class, showing which students are stuck, which errors are spreading, and what each student needs next. Live dashboards present class-level insights such as flagged misconceptions and individual performance breakdowns. The process requires no change in student workflow, no tablets, and no logins.
Individual teachers can begin using Frizzle at no cost with no credit card required. The service is FERPA and COPPA compliant. Schools have separate enterprise options. As of the latest data on the site, Frizzle has processed over 142,000 problems for more than 2,400 teachers with an average processing time of eight minutes per class.
It functions as a real-time insight layer for traditional paper-based math instruction.
In the Productivity & Work space, Frizzle takes a focused approach. It focuses on grading stacks of handwritten math homework quickly while identifying specific student misconceptions and learning gaps. It is built as a B2B product for K-12 math teachers. Frizzle follows a freemium model. It runs on the web.
It is developed by Frizzle, and it first shipped in 2023. Key capabilities include Handwriting Recognition, Math Misconception Detection, and Class Insights.
Summary written by a language model from the project’s public pages.
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