EssayGrade AI uses text mining and NLP to score essays, extract themes, and provide actionable feedback—so educators can focus on teaching, not grading.
| Essay | Score | Status |
|---|---|---|
| Essay_001.pdf | 92% | Ready for review |
| Essay_002.pdf | 88% | AI graded |
| Essay_003.pdf | 76% | Needs feedback |
| Other essays | 60–75% | Batch processing |
Use text mining and NLP to score essays, extract themes, and provide consistent feedback—at scale.
Score essays against rubrics using NLP. Coherence, grammar, argumentation, and topic coverage—all in one pass.
Extract keywords, themes, and entities. Surface common patterns and outliers across batches.
Define your own grading criteria. Train the model on your rubrics for consistent, explainable scores.
Track accuracy, score distribution, and model performance over time. Export for LMS or SIS.
Power tools for institutions and power users.
Web and internal similarity checks. AI-generated content flags. Originality reports per essay.
Side-by-side comparison. Flesch-Kincaid, vocabulary density, readability scores.
Reusable snippets with shortcuts. Fast, consistent feedback across huge batches.
Tune strictness and weights. Align AI scores with your grading standards.
Canvas, Moodle, Google Classroom. REST API and webhooks for custom workflows.
Full audit trail. Who graded what, when. Export for compliance and review.
Import essays (PDF, DOCX) and define grading criteria. Custom rubrics or predefined templates.
NLP extracts themes, scores each criterion, and flags essays needing human review.
Adjust scores, add feedback, and export to your LMS. Batch process hundreds in one go.
Open the dashboard to explore essays, rubrics, AI grading, and text mining insights.
Open dashboardThis demo showcases core features. If you need a production-ready Automated Essay Grading System with custom integrations, advanced text mining, or tailored workflows—we’d love to help. Contact us for a full-scale implementation.
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