Protect academic integrity with intelligent similarity detection. Help schools and universities identify copied and highly similar content, understand matching sources, and strengthen academic integrity through an institutional similarity-detection platform.
Request a product demonstration or discuss an institutional pilot
WSI Academic Integrity is designed around the institution's own academic corpus, giving schools the ability to compare submissions against documents maintained within their organization.
Accept student submissions in DOCX, PDF, and TXT formats. Normalize documents for consistent analysis across formats.
Identify exact and near-verbatim matching text across institutional submissions. Highlight matched passages for instructor review.
Generate clear reports showing overall similarity, matched sources, and highlighted passages. Designed for academic review, not just compliance screenshots.
Give instructors a centralized view of submissions and similarity reports. Review, annotate, and act from one place.
Compare submissions against approved institutional documents and previous academic work maintained within the organization.
Keep school data isolated by organization with access controls aligned to institutional roles and policies.
Unlike basic checkers that rely on public databases, WSI Academic Integrity lets you build and control a corpus containing the academic materials that matter to your institution. This is your controlled academic similarity repository.
Build a repository of past coursework, essays, and papers for comparison against new submissions.
Include graduate-level research work in the institutional corpus for comprehensive coverage.
Add faculty publications, working papers, and institutional research outputs where appropriate.
Include syllabi, assignments, and reference materials where institutionally appropriate and approved.
Privacy note: Institutions control what enters their corpus. Documents are not automatically retained forever, and no regulatory certifications are implied. Corpus governance follows your institutional policies.
From submission to instructor review in five steps.
Instructor or student uploads a submission through the institutional workflow.
The system extracts, normalizes, and fingerprints DOCX, PDF, or TXT content for analysis.
The detection engine compares the submission against the institutional corpus.
Matched passages, source documents, and similarity percentages are collected.
Instructors review highlighted matches, source context, and overall similarity before deciding next steps. Similarity is evidence for human review.
A practical review surface, not just a compliance score.
The quick brown fox jumps over the lazy dog. This passage appears in Source A with minor formatting changes.
Additional matching text appears here with contextual similarity and shared terminology across sections.
Visual illustration — not a live system screenshot.
Primary market: Philippines. Future expansion: Southeast Asia.
Full institutional deployment with corpus management and instructor workflows.
Scalable similarity detection for undergraduate and graduate programs.
Academic integrity support for senior high school research and writing requirements.
Age-appropriate similarity checking integrated into existing workflows.
Thesis and dissertation similarity review with institutional corpus matching.
Pre-publication similarity screening for institutional research outputs.
Centralized platform for policy enforcement and case management workflows.
Repository integration and corpus curation for academic integrity programs.
WSI Academic Integrity is designed as an institutional platform, not a simple public similarity checker.
| Dimension | Basic Checker | WSI Academic Integrity |
|---|---|---|
| Scope | One-off document checking | Institutional workflow & deployment |
| Source Visibility | Limited or no source details | Full source and passage visibility |
| Corpus | No institutional corpus | Institutional corpus built & controlled by you |
| Experience | Individual user tool | School/university deployment with roles |
| Reporting | Minimal compliance screenshots | Instructor-oriented similarity reports |
| Integration | Standalone checker | Designed for system integration |
Current: L0/L1 Similarity Detection. Future capabilities are clearly labeled and not implied to be currently available.
WSI is an AI-native digital transformation and systems integration company. We help educational institutions modernize their technology environment without forcing them to replace systems that already work. Academic Integrity fits alongside student systems, learning platforms, credentials, research tools, and institutional operations.
WSI Academic Integrity currently supports DOCX, PDF, and TXT submissions where format parsing is available.
Not in the current release. The current version focuses on institutional corpus comparison. Web/public-source search is planned for a future release.
Not in the current MVP. AI-writing analysis is on the roadmap, but the current system focuses on similarity detection and passage matching.
Data is isolated by organization with access controls designed around institutional roles. Only implemented controls are claimed; planned controls are labeled as coming.
LMS integration is planned. The current release supports manual and institution-managed submission workflows.
Explore how your institution can use similarity detection and institutional academic repositories to strengthen academic integrity.
Request a demo or discuss a 90-day institutional pilot
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