Multi-Modal Similarity Analysis Across Code, PDFs & Visuals
An automated cross-artifact similarity analysis framework uniting Sentence-BERT semantic vectors, CodeBERT AST embeddings, and CLIP visual patch heatmaps into a shared metric space. Detect unauthorized copying, semantic paraphrasing, and structural code refactoring without manual supervision.
Select or hover any modality node to see how inputs project into the joint manifold and compute similarity in real time.
Why Traditional Plagiarism Detectors Fail
Standard industry tools were engineered in the 2000s for static word-overlap. Modern university assignments involve source code, architecture diagrams, and AI-assisted paraphrasing that evade legacy algorithms.
Traditional Detectors
Lexical N-Gram & Exact String Matching
Renaming variables (e.g., curr_node to frontier_item) destroys character n-grams, dropping match confidence from 100% to under 15%.
Completely ignores image files, flowcharts, vector graphs, and screenshots pasted into submitted academic papers and documents.
Replacing every third word with a synonym prevents string hashing collision algorithms from detecting the underlying conceptual copy.
Cannot identify that an algorithmic implementation in Python was directly plagiarized from a paper’s pseudocode or architectural diagram.
OriginaX AI Multi-Modal Engine
AST Invariance & 768-D Joint Embedding Space
Parses Python, C++, Java, and JS into abstract syntax trees. Renaming variables, rearranging helper functions, or swapping loops produces identical AST hashes (98.4% match).
Slices diagrams into 16x16 feature patches to detect rotated, re-colored, cropped, or slightly edited architectural diagrams and flowcharts.
Projects entire paragraphs into high-dimensional semantic vectors. Retains high similarity scores even when text is rewritten using AI paraphrasing tools.
Projects code implementations and textual descriptions into a shared coordinate space, detecting cross-format derivation automatically.
Feature-by-Feature Engineering Comparison:
Plain text strings and ASCII characters only. Completely blind to images, diagrams, or source code ASTs.
Unified Multi-Modal Space: Ingests raw Text, Source Code (ASTs), Vector Diagrams, Flowcharts, and Mathematical proofs.
How OriginaX Unifies Multi-Modal Vectors
Through unified multi-modal alignment, artifacts of any type are tokenized, normalized, and projected onto a shared hypersphere manifold.
Multi-Modal Ingestion
Accepts raw PDFs, Python/C++ source code, image diagrams (PNG/JPG), and mathematical equations.
AST & ViT Preprocessing
Generates Abstract Syntax Trees for code; extracts layout OCR from PDFs; slices diagrams into 16x16 patches.
Joint-Space Projection
Embeddings mapped to 768-dimensional coordinates where semantic proximity reflects conceptual overlap.
Cosine & AST Scoring
Weighted formula: 40% Text, 35% AST Code, 25% Visual Graphic. Strict bipartite Hungarian assignment.
Unified Report & Diff
Produces interactive visual diffs, syntax node alignment, and audit-ready PDF reports for evaluators and institutions.
Validated Performance Benchmarks
Tested against benchmark datasets containing over 1,200 cross-modality student submission pairs.
Flexible Subscription Plans
Start with our 10-check free sandbox, upgrade to full multi-modal Pro, or equip your department with collaborative team seats and enterprise custom integrations.
Free Plan
10 checks free
- 10 Free Checks Included
- Natural Text & PDF Document Extraction
- Basic Source Code AST Analysis
- Local Zero-Knowledge Privacy Engine
- Instant Overlap Detection
Pro Plan
500 scans/mo
- $20 / Month Active Access
- 500 Multi-Modal Scans Monthly
- Full Code AST Identifier Anonymizer
- Deep Semantic Vector Projections
- Synchronized Split/Unified Diff Inspector
- Priority AI Inference Gateway
Team Plan
2,500 scans/mo · 5 Seats
- 5 Team Seats Included
- Cohort N x N Collusion Heatmap Matrix
- Cross-Assignment Batch Comparison
- Shared Team Folders & Assignment Pools
- Team Activity Logs & Exportable Audit Trail
- Expedited Priority Queue
Enterprise Plan
Unlimited scans & custom seats
- Custom Seat & Scan Volume
- Direct Contact: contact@originax.online
- LMS Integration (Canvas, Moodle, Blackboard)
- Dedicated On-Premise Vectorizer Appliance
- Zero-Knowledge FERPA/HIPAA Compliance SLA
- Dedicated Account Executive & 24/7 SLA
We provide custom on-premise vectorizers, Canvas/Moodle LTI integration, and departmental volume billing.
Ready to Analyze Submissions with OriginaX?
Sign in with your institutional credentials or launch the researcher workspace to run single-pair AST comparisons and N×N classroom cross-examinations.