The quality of your quiz depends directly on the quality of your source material. A few minutes of preparation before you upload can make the difference between vague, repetitive questions and sharp, accurate ones.
The AI extracts meaning from paragraphs, headings, and bullet points. Documents with logical structure — numbered sections, headers, short paragraphs — produce better questions. Avoid wall-of-text layouts and decorative columns that break the reading flow.
Cover pages, table of contents pages, bibliographies, repeated summaries, and headers/footers add noise. Trim them before uploading.
Image-to-text conversion does not always yield quality results, so we chose not to support image files. Extract the text from the image first for accurate results.
Quiz Master processes documents in chunks. Very long files (100+ pages) may produce questions skewed toward the beginning. For best coverage, split the document into logical parts (chapters, topics) and create one quiz per part.
Requesting 40 questions from a 2-page document forces the AI to repeat itself. A good rule of thumb is 1–3 questions per substantial paragraph. Use the question-count slider to stay within that range.
If your document is in Hebrew, set the output language to Hebrew before generating. The AI will produce questions and answers in the selected language, even if the source document mixes languages.
"Easy" produces factual recall questions. "Hard" produces inference and analysis questions. Match the difficulty to your audience — a beginner-level training document shouldn't use hard inference questions.
Instead of guessing how many questions to request, enable the Auto-detect toggle in the generation form. Quiz Master uses AI to extract every semantic concept in your document, then sets exactly one question per concept. Before committing, you’ll see the concept count and the generation cost for your approval. The analysis costs 1 credit per uploaded file and the result is saved to My Quizzes so you can generate later without re-uploading.
The AI reads your document to identify distinct concepts — ideas, facts, definitions, and relationships. Documents with logical structure (numbered sections, short paragraphs, clear headings) make it easier to extract precise, well-scoped concepts, which leads to sharper and more varied questions. Dense, unbroken text causes concepts to blur together and reduces question quality. Tables and bullet lists are especially effective because each row or item maps cleanly to an individual concept.