AI-Powered Grading
for Every Exam Paper
Full subject coverage with high-precision OCR and LLM technology, providing private and intelligent grading solutions for schools.
Recommend topic-based practice.
The Last Bottleneck in Digital Education
Grading still relies on heavy manual work, limiting teaching efficiency.
Teachers spend 70% of their time on grading
Teachers are forced to become 'grading machines', unable to focus on teaching.
Low accuracy in hand-written formula recognition
Generic OCR struggles with complex science formulas and cursive handwriting.
Data cannot form a closed loop
Graded scores are just numbers, lacking deep knowledge point correlation.
UniTeach: AI-Powered Grading Expert
AI automatic grading and teaching assessment system for schools
Multi-Channel Support
Supports paper, PDF, and image inputs, adapting to various teaching scenarios.
Smart Routing
Automatically matches grading logic to ensure accurate recognition.
Full Question Coverage
Supports multiple choice, fill-in, calculation, proof, and drawing questions.
From "Grading" to
"Teaching Data Assets"
We don't just grade papers - we help schools build core teaching assets, enabling the shift from grade mistakes to precision teaching.
Flexible Scoring Logic
Supports different scoring logic within exercises, accurately replicating teacher grading thinking to ensure fairness.
Conquering AI Recognition Blind Spots
UniTeach achieves industrial-grade recognition accuracy through vertical domain fine-tuning.
Full Subject High-Precision Recognition
Deeply optimized math formulas, chemical symbols, leading accuracy.
Privacy & Data Security
Fully local offline deployment, student info stays at school.
Low Deployment Cost
No expensive hardware, software-only solution, lowers AI barriers.
Self-Training Support
Supports vertical scenarios like IELTS, essay OCR fine-tuning.
Using Derivatives to Study Inequality Problems
Exam ID: 2024-MATH-FINAL-01
Let g(x) = x - 1 - ln x
g'(x) = 1 - 1/x = (x-1)/x
When x > 1, g'(x) > 0
Therefore g(x) is monotonically increasing on (1, +∞)
Solution: Let u = x, dv = e^x dx
du = dx, v = e^x
Therefore ∫ x e^x dx = x e^x - ∫ e^x dx
= x e^x - e^x + C
AI Insight Engine
Correctly found the tangent slope and accurately computed the derivative at x=e. Clear logic and complete steps.
Although the conclusion is correct, the derivation of "monotonically increasing" lacks key steps. Recommend adding verification of g(1)=0.
All Subjects, All Question Types
Deep Intelligent Coverage
Intelligent routing engine automatically distributes tasks, achieving unified processing of paper homework, PDF, and image data. Covers all core subjects, automatically generating structured teaching assets.
Full-Chain AI Empowerment System
From high-precision recognition to deep diagnosis, UniTeach creates a complete intelligent teaching closed loop.
All-Subject Intelligent Recognition
Covers math, Chinese, science and more. Supports calculation, proof, drawing and all question types.
Intelligent Template Editor
AI automatically identifies question areas, supporting WYSIWYG fine-tuning. Configure once, use across the school.
Step-by-Step Scoring Algorithm
Not just checking answers, but understanding solving steps. Automatically categorizes similar wrong approaches for precise remediation.
Physical-Level Data Security
Supports fully offline deployment, student homework and personal information fully localized, preventing leaks at the physical level.
Multi-Dimensional Learning Diagnosis
Automatically generates class and individual multi-dimensional diagnosis reports, linked to knowledge point graphs for targeted teaching.
Controllable Grading, Predictable Analysis
Highly Controllable Grading
- Traceable scoring basis
- Manual review support
- No 'black box scoring'
Learning Analysis
- Multi-dimensional comparison
- Knowledge mastery
- Teaching improvement suggestions
Teaching Assets
- Template library accumulation
- Question type library
- Growth curve tracking
From "Grading" to "Teaching Data Assets"
We don't just grade papers - we help schools build core teaching assets, enabling the shift from grade mistakes to precision teaching.
Learn MoreFlexible Scoring Logic
Supports different scoring logic within exercises, accurately replicating teacher grading thinking to ensure fairness.
View Case StudiesCore Value
Efficiency Improvement
Teacher workload reduced by 70%+
Precision Teaching
Real-time learning dashboards, improved pass rates
Asset Preservation
Build private question bank, accumulate digital assets
Flexible Cooperation Models
Open source code, secure and controllable. Supports various deployment and customization modes to meet needs of different sized educational institutions.
SaaS Subscription
Including maintenance, ready to use
- Standard grading
- Cloud OCR
- Regular system updates
- Basic tech support
Cloud Basic
Integrates with your existing system
- Grading core engine
- Cloud OCR/LLM
- System integration support
- 15% annual maintenance
Private Deployment
Fully private deployment
- Local OCR engine
- Custom frontend
- Full permission management
- 15% annual maintenance
Value-Added Custom Services
Free Teachers to Focus on Teaching
UniTeach is dedicated to freeing teachers from heavy repetitive grading work through AI technology. Giving teachers more energy to focus on student personalized growth, achieving true differentiated teaching, creating warmer intelligent classrooms.