TutorFlow includes a growing set of AI-powered tools designed for tasks that fall outside the course creation workflow. These tools help educators prepare better materials, review learner work more efficiently, and give learners a dedicated space for AI practice.
Available tools
| Tool | What it does |
|---|---|
| OCR Math Formula Editor | Converts handwritten equations, formulas, and notes from images into digital, editable text |
| Video Subtitle Generator | Uploads a video and generates accurate subtitles and transcripts automatically |
| Compare AI Responses | Puts responses from multiple AI models side by side on any prompt |
| AI Detector for Assignments | Reviews learner submissions for signs of AI-generated content |
| Assignment Feedback Assistant | Drafts structured, personalized feedback for learner assignments |
| TutorCampus | A learner-facing AI practice environment separate from the main course interface |
How these tools fit into a teaching workflow
These tools are not separate from TutorFlow's course and classroom system. They work alongside your content, making them useful both as standalone utilities and as part of a broader teaching workflow.
A typical use pattern looks like this:
- You use the OCR Formula Editor while preparing STEM course content — digitizing handwritten notes into lesson-ready text.
- You run the Video Subtitle Generator on a recorded lecture before embedding it in a course.
- You use Compare AI Responses while building an AI literacy lesson — testing prompts to find good comparison examples for learners.
- After learners submit assignments, you run the AI Detector on submissions and use the Feedback Assistant to draft personalized responses for the whole cohort.
- Learners use TutorCampus independently to practice with AI outside of structured lesson time.
Who benefits most from these tools
The tools are especially valuable for:
- Science and math educators who work with handwritten formulas and need them in digital form
- Language teachers who produce video content and want automatic subtitling
- AI literacy instructors who need to demonstrate model differences in the classroom
- University and corporate instructors grading large cohorts, where per-assignment feedback takes significant time
- Academic integrity teams reviewing submissions for AI-assisted writing
- Any educator offering AI practice opportunities outside of structured lessons