TutorFlow includes a set of AI tools for tasks that fall outside the course creation workflow. They help educators prepare materials, review learner work, and show learners how AI models differ. Each is a standalone page in your workspace, and none of them needs a course or a classroom to be set up first.
At a glance
| Tool | What you give it | What you get | Credits |
|---|---|---|---|
| OCR Math Formula Editor | A photo or scan of handwritten math, or a formula drawn in the editor | Editable digital text and formulas to copy or download | 1 per scan |
| Video Subtitle Generator | A video file (MP4, MOV, WebM and more) up to 1 hour, or an SRT file to edit | Timed subtitles and a transcript, downloadable as SRT | 1 per minute of video |
| Compare AI Responses | One prompt, in text mode or image mode, and the models to ask | Answers or generated images side by side | Varies by model, shown before you send |
| AI Detector for Assignments | Pasted text or a .txt, .doc, .docx, or .pdf file, up to 10,000 characters | A score with the sentences that read as generated highlighted | 1 per 1,000 characters |
| Assignment Feedback Assistant | A rubric plus every submission as PDF, DOCX, PPTX, TXT, or photos | A scorecard, summary, and inline comments per learner, and a class CSV | 5 per submission |
| TutorCampus | Learners sign in themselves | A learner-facing AI practice space | Uses TutorCampus's own credits |
Credits come from your organization's AI Credit balance. Each tool shows its expected cost before it runs.
How these tools fit into a teaching workflow
The tools work alongside your content, so they are useful on their own and as steps in a larger flow:
- Use the OCR Formula Editor while preparing STEM content, turning handwritten derivations into text you paste into a lesson or quiz.
- Run the Video Subtitle Generator on a recorded lecture before attaching it to a course, and keep the transcript for search and summaries.
- Use Compare AI Responses while building an AI literacy lesson, testing prompts to find comparison examples worth showing learners, in text or in images.
- After learners submit assignments, run the AI Detector on the ones you want a second look at, and grade the whole batch with the Feedback Assistant against one rubric.
- Learners use TutorCampus to practise with AI outside structured lesson time.
Who benefits most from these tools
- Science and math educators who work from handwritten formulas and need them in digital form
- Anyone who records lectures and wants subtitles and a transcript without manual timing
- AI literacy instructors who need to show model differences, including in image generation
- University and corporate instructors grading large cohorts against a rubric
- Academic integrity teams who need a signal, not a verdict, about AI-assisted writing