Gradebox

Gradebox is a web-based grading platform for teachers and school administrators. It is best suited to teachers who collect paper assignments and want AI-generated feedback with teacher approval of recommended grades. Its focused paper-to-gradebook workflow is useful, but it is not yet a fit for schools that need current SIS or LMS integrations or at-home student submissions.

Overview

Gradebox brings assignment capture, grading and feedback into a single workflow. Teachers can scan work with a mobile device, grade by hand or digitally, and add already graded assignments to the gradebook by scanning them. Quick Scan OCR decodes student names and matches work to the gradebook; for unnamed assignments, it suggests likely students based on roster and prior submissions for a teacher to review. That can reduce manual sorting, but suggested matches still need human confirmation.

AI analyzes student work and drafts instructional feedback. Teachers review and approve recommended grades, keeping final grading decisions with authorized school users. OCR and AI analysis can contain errors, so this is assistance rather than a substitute for educator judgment. The internal gradebook supports standards-based grading, progress reports and CSV grade exports. API integrations are planned, not current features.

Key features

Capture and feedback

The combination of mobile scanning, OCR and roster matching is Gradebox’s clearest strength for classrooms built around physical assignments. AI-generated feedback may help teachers process that work, while manual and digital grading options accommodate assignments that do not start on paper. The trade-off is that teachers must still review the AI’s recommendations and correct recognition or matching errors.

Privacy and security

Gradebox says Student Data is not sold or used for targeted advertising or behavioral profiling of students. By default, it is not used to train or improve Gradebox’s or third-party AI models; accommodation data is excluded from model training. The terms describe TLS 1.2 or higher encryption in transit, encryption at rest and role-based access controls. Access logging and audit trails are planned rather than current capabilities. Questions about student-data handling can be directed to [email protected].

Pricing

Gradebox has a free plan and paid plans priced in USD. The free tier costs nothing and is Free Forever for Teachers, with one classroom and 120 single-page assignment submissions or grades per month; no card is required. It is a sensible way for one teacher to try the workflow, but the classroom and monthly-use caps constrain heavier use.

Pro costs $11.99 a month, billed monthly with an annual commitment; it can be canceled anytime before renewal. It includes unlimited classrooms and submission scans, plus 2,000 AI grading actions per month. This suits teachers or programs that need more capture capacity, but AI use remains capped and the annual commitment matters despite monthly billing.

Enterprise has custom pricing. It includes everything in Pro, district-level insights and reporting, multi-tenant SIS and LMS integration, single sign-on and a dedicated customer success team. It is the relevant tier for districts seeking those capabilities; the price will need to be established directly.

Platforms

Gradebox is available on the web. Teachers can use a mobile device to scan assignments, but student submissions from home are still in development, and the current app relies on its internal gradebook rather than live integrations.

Who it's for

Gradebox is aimed at teachers and school administrators, with parent and guardian access to student work and feedback. It is most compelling for educators handling paper submissions who want scanning, standards-based grading and AI-assisted feedback in one system. Schools that depend on existing SIS or LMS connections, home submission workflows, or audit trails should look elsewhere until those capabilities are current.

Pros and cons

• Pro: Mobile scanning, OCR and roster matching can streamline the move from paper assignments to gradebook records.
• Pro: AI drafts feedback and recommends grades without removing teacher approval from the process.
• Pro: Its stated student-data protections include no default AI-model training on Student Data and exclusion of accommodation data from training.
• Con: OCR and AI can make errors, so teachers must review matches, feedback and grades.
• Con: API integrations and at-home submissions are not current features, and access logging and audit trails are planned.
• Con: The free plan is limited to one classroom and 120 single-page submissions or grades monthly; Pro caps AI grading at 2,000 actions per month.

Alternatives

For a broader Gradebook Software comparison, consider which workflows and limits matter most. ThinkWave is a fit for readers seeking a free solo gradebook with no stated limits on students, classes or assignments, plus uploads up to 25 MB per file. Choose SimpleGradebook if its listed platform range—Android, iOS and web—or its Canadian ownership is a priority.

Vidyapeeth360 Digital Gradebook has a free tier for up to 100 students with 29 of 58 modules, making it an option for readers whose needs fit those limits. Gradebook.ng offers a free plan for up to 50 students and essential grade management, which may suit smaller groups focused on grade management rather than Gradebox’s paper-scanning workflow. GradingPal is another freemium option for readers comparing grading tools.

Madrasatey is a free option for Madaris and Maktabs, with no per-parent charges. Smart Teacher may suit users seeking Android or web access and a free tier with three classes, unlimited students and 10 AI credits a month. NavEd Free Gradebook is a choice for a small class needing a free web gradebook, with a one-class and 10-student limit.

Verdict

Gradebox is a strong match for teachers who collect physical assignments and want scanning, roster matching and AI-drafted feedback without surrendering approval of grades. Its internal gradebook and stated data protections strengthen that focused case. Look elsewhere if current SIS or LMS integrations, at-home submissions or uncapped AI grading are essential.