CogniGuide
Generate AI Flashcards from Real Pictures & Documents
Stop manually typing definitions. Upload PDFs, images of notes, or simply type a topic, and our AI instantly creates study-optimized flashcards, perfect for mastering visual subjects.
No credit card required
Smarter Studying Starts Here
Leverage the power of cognitive science and AI to transform dense information into memorable, manageable study sessions.
Multi-Format Content Ingestion
Easily transform existing study material. Upload PDFs, DOCX, PowerPoint slides, or even images containing diagrams and text, and the AI extracts key concepts instantly.
Cognitive Science Scheduling
All generated decks utilize intelligent spaced repetition scheduling. This scientifically proven method optimizes review timing to maximize long-term retention and minimize cramming.
Effortless Prompt Generation
If you don't have a document handy, just ask! Type a prompt—like 'Key anatomy terms for the circulatory system'—and receive a custom, ready-to-study deck in seconds.
Collaborative Sharing
Need to study with a group? Share your AI-generated flashcard decks instantly with others via a simple, public link for synchronized, effective learning.
Your Study Workflow, Automated in 3 Steps
We make turning static material into dynamic learning tools incredibly straightforward, respecting your time and maximizing recall.
- 1
Input Your Content
Choose your method: Upload study files (PDF, DOCX, images) directly, or type a specific topic prompt into our creation box.
- 2
AI Generates Decks
Our engine analyzes the input, identifies core facts, and generates atomic question-and-answer pairs, optimized for active recall learning.
- 3
Schedule & Study Smart
Set your target exam date, and the system builds a personalized review schedule using spaced repetition algorithms to cement knowledge.
Mastering Visual Material with AI Flashcards Real Pictures
Flashcards real pictures generation is simplified with our powerful AI tool designed for students facing complex, visual, or dense curricula. Unlike basic quiz generators, our platform specializes in understanding context within images and documents, ensuring the resulting flashcards effectively target the concepts you need to master, particularly useful in fields like biology, engineering diagrams, or medical illustrations. By automating the synthesis process, we free up critical study time, allowing you to focus on active recall rather than tedious card creation.
- Turning lecture slides into review sets
- Creating concept maps from textbook chapters
- Generating quick drills from historical maps or charts
- Accelerating preparation for visual exams
- Using spaced repetition to lock in image identification
For learners who rely heavily on visual aids—such as those studying pharmacology where drug structures matter, or art history requiring identification—the ability to instantly convert that visual data into spaced repetition cues is transformative. This approach ensures that the transition from passive review of the 'real pictures' to active testing is seamless and highly efficient for long-term memory consolidation.
Frequently Asked Questions
Quick answers about how our AI generates and manages your study materials.
Can I edit the flashcards after the AI generates them?
Currently, the focus is on rapid, accurate generation from source material. While we do not support direct editing yet, you can always regenerate the deck with slightly adjusted input parameters or prompts.
What image formats are supported for uploading?
We support common image formats like JPEG and PNG, alongside document formats such as PDF, DOCX, and PPTX, allowing broad compatibility with your existing study library.
How does the free plan differ from the paid plan?
The free tier offers standard generation capacity. The paid subscription unlocks higher daily credit limits and access to our more advanced, higher-fidelity AI model for superior concept extraction.
Is the spaced repetition system customizable?
Yes, you can input your target exam date, and the system automatically structures the review intervals around that deadline using proven learning algorithms.