
Industry: Education Technology
Solution Type: Document Processing & Data Extraction
Deployment: Local Infrastructure
An educational technology company had accumulated thousands of scanned homework assignments, exams, and worksheets over several years. These documents contained valuable educational content—multiple choice questions, true/false exercises, fill-in-the-blank activities—but they were trapped in paper format.
The traditional approach meant manual data entry: staff would open each scanned document, read through the exercises, and type them into the database one by one. At 4-8 hours per assignment, digitizing their archive would take months of tedious work. Beyond the time cost, manual transcription introduced errors and inconsistent formatting that caused problems downstream.
They needed a solution that could:
We built EduDOM, an AI-powered document processing pipeline specifically designed for educational content.
1. Document Ingestion
Upload scanned pages in any format (JPG, PNG). The system handles multi-page assignments, skewed scans, and low-resolution images.
2. AI Analysis
Vision AI examines each document with domain-specific understanding. Unlike generic OCR that just extracts text, EduDOM recognizes the structure of educational content—question numbering systems, answer formats, instruction blocks, and exercise boundaries.
3. Exercise Classification
Each exercise is automatically classified into one of six database-compatible types:
4. Schema-Aware Extraction
The AI outputs structured JSON that matches the client’s exact database schema. Field names, data types, and relationships are all handled automatically. No manual transformation required.
5. Expert Review Interface
A four-tab review interface lets staff verify AI output quickly:
Database-Ready Output
100% schema-compliant JSON. What the AI produces can be inserted directly into production databases without additional processing.
Six Exercise Types
Purpose-built recognition for the exercise formats used in educational content. Each type maps to its own database table with appropriate fields.
Human-in-the-Loop
AI handles 95% of the work. Staff verify the remaining 5% through an intuitive review interface.
Offline Operation
The entire system runs on local infrastructure. Documents are processed locally, data is stored locally, and no content ever leaves the client’s servers.
Any Scan Quality
Handles noise, skew, low resolution, and multi-column layouts. If a human can read it, the AI can process it.
| Metric | Before | After |
|---|---|---|
| Time per assignment | 4-8 hours | 2-5 minutes |
| Processing accuracy | Variable (human error) | 95%+ (AI + verification) |
| Format consistency | Inconsistent | 100% standardized |
| Data privacy | N/A | Full local control |
The client processed their entire document archive in weeks instead of the months originally projected. Staff previously assigned to data entry were reallocated to higher-value work.
EduDOM was designed with educational data privacy requirements in mind:
EduDOM is built for organizations with educational content to digitize:
If you’re sitting on valuable educational content trapped in scanned documents, let’s talk about how AI can help you unlock it.
Ready to digitize your educational content? Book a consultation to discuss your specific needs.