Convert your lecture notes
to practice exam questions
in seconds.

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1. Send your notes.

Upload or paste your study material. Questions are based on the source material's quality of content.

2. Choose a subject.

Choose a subject area to give the AI specific academic context, ensuring questions match your field's style and requirements.

3. Choose a model.

Pick the best speed and intelligence from Meta and Gemini, or download local models from Ollama for complete privacy.

4. Generate.

Packages the source material, adds topic context, and sends it to your chosen AI model to generate practice exam questions.

EXAMPLES OF QUESTIONS GENERATED

Easy • Computer Science Question

The following Python function calculates the factorial of a positive integer using recursion, but contains a logical error. Identify the bug and explain how to fix it.

def calculate_factorial(n):
    """
    Calculate the factorial of a positive integer n.
    Factorial of n (n!) is the product of all positive integers
    less than or equal to n.
    Example: 5! = 5 × 4 × 3 × 2 × 1 = 120
    """
    if n == 0:
        return 1
    else:
        return n * calculate_factorial(n - 1)

# The function appears correct for positive integers, but there's
# a subtle issue that can cause problems with certain inputs.
# What happens if a negative number is passed? Can you find the bug?

Easy • Computer Science Question

The following Python function calculates the factorial of a positive integer using recursion, but contains a logical error. Identify the bug and explain how to fix it.

def calculate_factorial(n):
    """
    Calculate the factorial of a positive integer n.
    Factorial of n (n!) is the product of all positive integers
    less than or equal to n.
    Example: 5! = 5 × 4 × 3 × 2 × 1 = 120
    """
    if n == 0:
        return 1
    else:
        return n * calculate_factorial(n - 1)

# The function appears correct for positive integers, but there's
# a subtle issue that can cause problems with certain inputs.
# What happens if a negative number is passed? Can you find the bug?

INCLUDED & UPCOMING FEATURES

Not a refresh, but a rewrite.

We re-engineer the prompt by adjusting the model‘s creativity parameters, guaranteeing a unique and non-repetitive result every time.

The memory loop.

Reveal the answer to confirm, then hide it again to re-test. This interactive cycle forces active recall — the scientifically proven method for deep knowledge retention.

Build your knowledge library.

Store questions into collections, organizing them by topic or difficulty. Practice entire subjects with curated content, building a personalized repository of flashcards that grows with every study session.

FAQ

Common Questions

What AI models can I use?

You have access to multiple AI providers: Meta Llama models (via Groq), Google Gemini models, or Ollama (local models). Limited models are available due to the free tier provided by Groq & Google. For models like ChatGPT, Claude, and others, require payment. As for Ollama, you can download as many as you want, provided that you have the hardware capacity to handle the requests locally.

Is my data private and secure?

Yes. When using Ollama (local models), all processing happens on your device — your notes never leave your computer. For cloud models (Groq/Gemini), your content is sent to their APIs for processing but is not stored permanently. Generated flashcards are saved locally in your browser‘s localStorage. We don‘t require accounts or store your content on our servers.

How much content do I need to provide?

For optimal results, we recommend between 4,000-6,500 characters (roughly 700-1,100 words). The minimum is 2,000 characters, and the maximum is 8,000 characters per generation. If your content exceeds 8,000 characters, you‘ll need to split it into sections. The system automatically calculates the optimal number of questions (3-12) based on your content length, using approximately 850 characters per question as a guideline.

What file formats are supported?

Currently, Retentive supports `.txt` and `.md` (Markdown) files. You can also paste text directly into the input field. PDF support is coming soon. Files are processed entirely in your browser — no server upload required for file reading.

Convert your lecture notes to practice exam questions in seconds.

Powered by AI you‘re familiar with

Watch how it works

1. Send your notes.

2. Choose a subject.

3. Choose a model.

4. Generate.

EXAMPLES OF QUESTIONS GENERATED

The following Python function calculates the factorial of a positive integer using recursion, but contains a logical error. Identify the bug and explain how to fix it.

The following Python function calculates the factorial of a positive integer using recursion, but contains a logical error. Identify the bug and explain how to fix it.

INCLUDED & UPCOMING FEATURES

Not a refresh, but a rewrite.

The memory loop.

Build your knowledge library.

FAQ

Common Questions

What AI models can I use?

Is my data private and secure?

How much content do I need to provide?

What file formats are supported?

EXAMPLES OF QUESTIONS GENERATED

The following Python function calculates the factorial of a positive integer using recursion, but contains a logical error. Identify the bug and explain how to fix it.

The following Python function calculates the factorial of a positive integer using recursion, but contains a logical error. Identify the bug and explain how to fix it.

FAQ

Common Questions

What AI models can I use?

Is my data private and secure?

How much content do I need to provide?

What file formats are supported?

Convert your lecture notes
to practice exam questions
in seconds.