Key Official Features
- →Quizly converts PDF, Word or scanned documents into ready‑to‑use multiple‑choice, true/false and association quizzes in seconds.
- →Flashcards are generated automatically with AI‑driven hints, three‑level self‑assessment and SM‑2 spaced‑repetition scheduling.
- →Smart review analyses quiz and flashcard performance to prioritise weak concepts, delivering focused revision sheets and optional podcasts.
- →All content can be edited, reshaped or shared via public links, and the platform synchronises across desktop and mobile devices.
How does Quizly turn PDFs into quizzes?
When you upload a PDF, Quizly first runs an optical character recognition (OCR) step if the file contains images of pages, then parses the extracted text with natural‑language understanding. The AI identifies headings, bullet points and highlighted terms, mapping them to potential question stems. By analysing the semantic importance of each segment, Quizly ensures that the generated questions target the core learning objectives rather than peripheral details.
The user selects the desired number of questions and difficulty level; the system then constructs each item with one correct answer and three distractors that are plausible yet distinct. During the quiz, navigation is free, answers are saved automatically, and at the end you receive a detailed correction that explains why each answer is right or wrong, turning a simple test into a comprehensive learning experience.
What are Quizly flashcards?
Flashcards in Quizly are derived from the same AI analysis that powers quizzes. For each concept the engine deems central, a card is created with a prompt on the front—often a definition, term or question—and a concise answer on the back. The interface animates a smooth flip, and before revealing the answer you may request a hint generated by the AI, reinforcing recall before the solution is shown.
Each card is evaluated with three self‑assessment states: "I don't know", "I roughly know", and "I know". Based on these inputs, the SM‑2 algorithm calculates the optimal interval before the card reappears, ensuring that difficult cards surface more often while mastered ones are spaced out, which aligns with proven spaced‑repetition research.
How does smart review help students?
Smart review is the adaptive layer that connects quiz performance, flashcard mastery, and the generation of additional study materials. After each session, Quizly's analytics engine highlights the concepts with the most errors or longest response times. Those topics are then elevated in priority for the next study slot, and the system automatically creates a tailored revision sheet summarising the key points.
The platform can also produce a short podcast episode for each weak area, using natural‑sounding synthetic voices. By listening to the audio while revisiting the original PDF, students engage multiple senses, which research shows deepens understanding and retention. Smart review therefore transforms isolated practice into a continuous feedback loop that adapts to individual progress.
Getting Started with Quizly in Four Easy Steps
- 1Step 1 – Upload Your Course MaterialDrag and drop a PDF, Word file, or TXT document, or snap a picture of a printed page on your mobile. Quizly stores the file in a colour‑coded folder you can rename and reorganise.
- 2Step 2 – Generate a Quiz or FlashcardsChoose the number of questions, difficulty level, and question type. For flashcards, simply click “Create cards” and the AI will parse the document into a ready‑to‑study deck.
- 3Step 3 – Review and RefineEdit any question or card, ask the AI to rewrite a prompt, and add custom hints. Activate the smart‑review mode to let the system adapt future sessions based on your performance.
- 4Step 4 – Study AnywhereAccess your quizzes, flashcards, revision sheets and podcasts from any device. Share a public link with classmates or keep the content private for personal study.
Detailed Feature Breakdown
- AI‑Generated Quizzes — Automatic creation of multiple‑choice, true/false and association items, with customizable difficulty and topic focus.
- Editable Content — Full control to modify question wording, answer options, or explanations, and to add new items manually.
- Adaptive Difficulty — Quizly’s adaptive engine raises or lowers question complexity based on your recent scores, keeping the challenge optimal.
- Flashcard Suite — Auto‑generated cards, three‑level self‑assessment, SM‑2 spacing algorithm, and optional hints for each card.
- Smart Review Dashboard — Visualises gaps, suggests targeted quizzes, and produces concise revision sheets and podcasts for weak concepts.
- Cross‑Device Sync — All materials are stored in a personal cloud, available on desktop, tablet or phone with seamless transitions.
Real‑World Use Cases
- Students preparing for university entrance exams who need fast, AI‑driven practice tests.
- High‑school learners who want to convert textbook chapters into flashcards without manual entry.
- Professionals revisiting corporate training PDFs and needing quick recall tools for certification.
- Reduces the time spent creating study materials from hours to minutes.
- Provides immediate feedback that highlights specific knowledge gaps.
- Offers multimodal revision (quiz, flashcards, audio) to match different learning styles.
Student Feedback
I imported a 200‑page PDF for my biology course and Quizly gave me a ready quiz and flashcards in less than five minutes. I edited a few questions, but the bulk of the work was already done, which let me focus on studying instead of formatting.— Biology undergraduate, Cambridge
When I’m stuck on a tricky physics formula, I open the smart‑review podcast. Listening to the AI‑generated explanation while reviewing the original notes helps me understand the concept from a different angle.— Engineering student, Munich
Quizly’s spaced‑repetition flashcards keep resurfacing the topics I forget the most. The hints are useful, but I still get to test my knowledge before seeing the answer, which feels much more effective than rote memorisation.— Lycée senior, Toronto
