Frizzle

Frizzle transforms handwritten math work into real-time analytics, revealing student understanding and misconceptions effortlessly.

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Published on:

June 4, 2026

Pricing:

Frizzle application interface and features

About Frizzle

Frizzle is an innovative educational tool that leverages advanced computer vision and large language models (LLMs) to accurately grade handwritten math assignments with an impressive 97% accuracy. Designed for K-12 math classrooms, Frizzle enables teachers to photograph students' work on paper and receive instant, standards-level formative analytics that highlight each student's mastery of the Common Core State Standards (CCSS). The system identifies misconceptions and flags uncertain grades for human review, allowing educators to focus on teaching rather than grading. With Frizzle, math teachers can reclaim 10-15 hours of their week typically spent on manual grading, while districts benefit from reduced screen time without sacrificing essential classroom-level data. This cutting-edge tool is currently being utilized in over 30 schools and districts, including pilot programs at prestigious institutions like Vanderbilt University and Arizona State University.

Features of Frizzle

Snap a Stack

Frizzle allows teachers to quickly capture a stack of handwritten assignments using a phone, document camera, or scanner. This feature significantly reduces the time spent on grading, as it automatically links each page to the corresponding student, making it easy for teachers to monitor individual progress.

Real-Time Analysis

Once the assignments are uploaded, Frizzle employs sophisticated computer vision technology to analyze every step of a student's work, not just the final answers. This detailed approach ensures that teachers understand multiple solution paths and can identify specific misconceptions that need addressing.

Live Dashboards

Frizzle provides live dashboards that showcase real-time data on student performance. Teachers can see which students are struggling, what common mistakes are occurring, and what concepts need to be taught next. This feature helps educators plan more effectively and engage in targeted instruction.

Comprehensive Misconception Tracking

Frizzle is equipped with a model trained on 1.4 million pages of K-12 student work, allowing it to recognize 147 named misconceptions across various grade levels. This capability not only helps in pinpointing current issues but also traces back to prerequisite knowledge gaps, providing a holistic view of student understanding.

Use Cases of Frizzle

Efficient Grading for Teachers

Teachers can photograph a stack of papers and let Frizzle do the heavy lifting. By automating the grading process, educators can redirect their time towards personalized instruction and supporting students who need it most.

Identifying Student Misconceptions

Frizzle’s ability to flag misconceptions allows teachers to quickly address common errors in understanding. By knowing exactly where students are struggling, educators can tailor their lessons to better meet the needs of their class.

Data-Driven Decision Making

School administrators can utilize Frizzle’s aggregated data to identify trends across classrooms and grades. This information is invaluable for making informed decisions about curriculum adjustments and resource allocation.

Enhancing Student Engagement

With real-time insights into student performance, teachers can engage in more targeted discussions with their students about their learning. This promotes a more interactive and supportive classroom environment where students feel seen and heard.

Frequently Asked Questions

How does Frizzle ensure accuracy in grading?

Frizzle uses advanced computer vision and machine learning algorithms trained on a vast dataset of K-12 student work. This allows it to grade with 97% accuracy and identify various approaches to problem-solving.

Is Frizzle compliant with student privacy regulations?

Absolutely! Frizzle is fully compliant with FERPA and COPPA regulations. It ensures that student data is securely handled and never used to train its models, prioritizing the privacy of all users.

Can Frizzle handle different types of handwriting?

Yes, Frizzle is designed to recognize a wide array of handwriting styles, including print, cursive, and even messy or sideways writing. This flexibility makes it accessible for all students.

What kind of data does Frizzle provide to teachers?

Frizzle offers detailed analytics that break down student performance by specific standards, highlight misconceptions, and provide step-level feedback. This data helps teachers understand what each student needs to succeed.

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