Comparison 2026

Quizly vs Google NotebookLM pour étudier depuis des PDF

Discover how Quizly turns PDF notes into active study assets faster than NotebookLM's synthesis‑first approach.

Quizly vs Google NotebookLM pour étudier depuis des PDF — Qwi

Quizly converts PDF course material directly into quizzes, flashcards and mock exams, giving students a ready‑to‑use active‑recall toolkit. Google NotebookLM focuses on summarising and exploring documents, which is valuable for research but requires extra steps to create practice items. For students seeking guided, exam‑oriented revision, Quizly provides a more complete end‑to‑end solution.

Quick Comparison at a Glance

  • Quizly automatically transforms PDFs into quizzes, flashcards and mock exams, delivering ready‑to‑use active‑recall material.
  • Google NotebookLM excels at summarising documents and answering queries, but requires manual effort to build practice items.
  • Quizly provides adaptive difficulty, gap analysis and spaced‑repetition algorithms that guide students toward exam readiness.
  • Both platforms are AI‑powered, yet Quizly focuses on structured revision while NotebookLM prioritises exploratory reading.

How Quizly Generates Structured Study Assets from PDFs

When a PDF is uploaded to Quizly, the AI parses headings, bullet points and highlighted text to extract key concepts. It then assembles these concepts into multiple question formats—multiple‑choice, true/false and association—while automatically generating plausible distractors. The same extraction pipeline feeds a flashcard creator that applies the SM‑2 spaced‑repetition algorithm, ensuring each card reappears at optimal intervals based on the student's self‑assessment.

The platform also builds full‑length mock exams by selecting a balanced set of questions, applying configurable difficulty levels, and optionally enforcing a timer. After each session, Quizly delivers a detailed correction with explanations, enabling immediate feedback. This end‑to‑end workflow eliminates the need for students to manually design practice material after reading a PDF.

Google NotebookLM’s Approach to PDF Study

Google NotebookLM processes a PDF by creating a searchable knowledge base that can be queried in natural language. Users can ask the model to summarise chapters, retrieve definitions or generate brief outlines. While this supports quick information retrieval, it does not automatically produce structured practice items such as quizzes or flashcards, requiring students to translate the output into active‑recall formats themselves.

NotebookLM’s strength lies in its conversational interface, allowing learners to explore content dynamically and to receive on‑the‑fly explanations. However, the lack of built‑in assessment tools means that the learner must rely on external resources to evaluate retention, which can interrupt the study flow and reduce the efficiency of revision sessions.

Why Choose Quizly
  • Instant generation of quizzes, flashcards and mock exams directly from PDFs
  • Adaptive difficulty and automated gap analysis guide focused revision
  • Spaced‑repetition algorithm ensures long‑term retention of key concepts
  • Editable content lets students fine‑tune questions and explanations
When NotebookLM May Fit
  • Need for quick textual summaries or conversational exploration of a document
  • Research‑oriented reading where extracting citations is a priority
  • Situations where a free, no‑signup tool is sufficient for occasional reference

Practical Study Scenarios

Students Using Quizly
  • Medical student transforms a 300‑page anatomy PDF into a series of flashcards for daily review
  • Engineering undergrad creates a timed mock exam from lecture slides before finals
  • Law student generates QCM quizzes to test case law comprehension after each chapter
Students Using NotebookLM
  • History major asks NotebookLM to summarise a primary source document before writing an essay
  • Philosophy student explores arguments by querying the model for definitions and counter‑examples
  • Literature student retrieves thematic outlines to support class discussions

Student Feedback

I upload my PDF lecture notes to Quizly, and within minutes I have a set of flashcards ready for spaced‑repetition. It saves me hours of manual card creation.— Biology student, Cambridge
When I need a quick mock exam before a test, Quizly assembles a balanced quiz with a timer. The immediate feedback helps me focus on the topics I still miss.— Engineering junior, Munich
NotebookLM is great for getting a quick summary of a dense research paper, but I still turn to Quizly for the actual practice questions I need for my upcoming exam.— Psychology graduate, Toronto

Getting Started with Quizly

  1. 1
    Step 1: Upload Your PDF
    Drag‑and‑drop the PDF, Word or TXT file, or capture a page with your phone. Quizly stores the document in a personal, colour‑coded folder.
  2. 2
    Step 2: Choose Your Study Format
    Select whether you want a quiz, flashcards, or a mock exam, and set the number of questions and difficulty level.
  3. 3
    Step 3: Review and Edit
    Inspect the generated items, edit wording or explanations, and ask Qwi to refine any question that feels unclear.
  4. 4
    Step 4: Study Actively
    Use the built‑in quiz interface, spaced‑repetition flashcards or timed mock exam to practice, receiving instant feedback and gap analysis after each session.

Active Learning Mechanics Embedded in Quizly

Quizly leverages active recall by presenting learners with questions that require them to retrieve information from memory rather than reread text. Each quiz answer triggers immediate feedback, reinforcing the correct response and clarifying misconceptions. This rapid feedback loop is essential for strengthening neural pathways associated with the studied material.

The platform also implements spaced‑repetition using the SM‑2 algorithm, which schedules flashcard reviews at increasing intervals based on the learner's self‑assessment. By spacing repetitions, Quizly aligns with well‑researched memory consolidation principles, ensuring that knowledge is retained over the long term rather than being quickly forgotten after a single exposure.

Frequently asked questions

Is Google NotebookLM suitable for studying directly from PDF textbooks?

Google NotebookLM excels at generating summaries and answering questions about a PDF, but it does not automatically produce structured practice items such as quizzes or flashcards. Students must manually extract key points and create their own exercises, which adds time and reduces the immediacy of active‑recall learning.

Why choose Quizly when I need mock exams generated from my lecture notes?

Quizly analyses the imported PDF, identifies core concepts, and builds a full‑length mock exam with configurable question types, time limits and automatic scoring. The platform also adapts difficulty based on prior results, ensuring the exam mirrors the student's current mastery level, whereas NotebookLM would only provide a textual overview that still requires manual question design.

Which tool is better for revising with quizzes and flashcards created from PDFs?

Quizly automatically creates QCM, true/false and association quizzes as well as spaced‑repetition flashcards directly from the document, delivering instant active‑recall practice. NotebookLM offers a conversational interface for exploring content but does not generate these ready‑to‑use study assets, making Quizly the more efficient choice for exam preparation.

Can I edit the questions or flashcards that Quizly generates?

Yes, Quizly lets users edit any generated question or flashcard, adjust wording, add explanations, or request the AI to reformulate items. This flexibility ensures the study material matches the student's personal learning style, a capability not provided by NotebookLM's static summaries.

How does Quizly support active learning techniques compared to NotebookLM?

Quizly implements active recall through instant quizzes, provides immediate feedback with detailed explanations, and uses spaced‑repetition algorithms (SM‑2) for flashcards. NotebookLM primarily offers passive reading and conversational queries, which lack the systematic reinforcement that active‑learning frameworks require.

Is there a way to track my progress and identify weak topics in Quizly?

Quizly records every quiz result, highlights recurring errors, and generates a gap‑analysis report that pinpoints under‑mastered notions. This data drives adaptive quiz difficulty and personalized study plans, whereas NotebookLM does not maintain a structured performance history.

What formats can I upload to Quizly and does NotebookLM support the same range?

Quizly accepts PDF, Word and TXT files, and on mobile devices even allows direct photo capture of a page. NotebookLM also works with PDFs but does not natively support Word or plain‑text uploads, limiting the variety of source materials students can use.

Are there any cost differences between using Quizly and Google NotebookLM for study purposes?

Quizly offers a free tier that includes core quiz and flashcard generation, with a Premium subscription unlocking richer podcast content and higher‑quality revision sheets. Google NotebookLM is currently free for personal use, but its study‑focused features remain limited to summarisation, requiring additional tools for full‑scale revision.