Turn Documents into Source-Grounded Quizzes with AI - Quizentia
Quizentia transforms PDFs, text, images, and training material into structured quizzes. Its retrieval pipeline identifies relevant source content before generating questions, helping organizations create assessments that remain aligned with their approved material.
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Training teams, educators, and content owners often spend hours reviewing documents, identifying important concepts, drafting questions, and checking whether every answer is supported by the source material. The process becomes harder when content changes frequently or spans multiple documents.
Quizentia automates this workflow while keeping the generated assessment connected to the uploaded material.
Upload Learning Material and Build a Reusable Knowledge Base
Users upload PDFs, documents, images, or source text. The system extracts the content, divides it into meaningful sections, generates embeddings, and stores the processed material for semantic retrieval.
The knowledge base can then be reused to create multiple assessments from the same approved source.
Generate Questions from the Most Relevant Source Content
When a user requests a quiz, Quizentia retrieves the passages most relevant to the selected topic or assessment settings. The model uses this retrieved context to generate structured questions, answer choices, and correct answers.
This reduces the risk of producing questions unrelated to the uploaded material.
Review, Edit, and Reuse Generated Assessments
Generated questions can be reviewed before use. Teams can edit wording, remove unsuitable questions, adjust difficulty, and reuse the assessment across training or learning workflows.
Structured output also makes the generated quiz easier to store, export, grade, or integrate with other applications.
