CogniGuide
Go Beyond Flashcards Size in Inch: Master Study with AI
Stop manually creating study materials. Upload your PDFs, DOCX, or simply type your topic, and our AI instantly generates perfectly formatted, spaced-repetition flashcards ready for optimal learning.
No credit card required
The Smart Way to Study: Features Designed for Retention
Leverage cognitive science principles, automated generation, and powerful scheduling to ensure you remember what matters most, exactly when you need to review it.
Instant Input Conversion
Upload virtually any document—PDFs, PowerPoint slides, or Word files—and our AI extracts the core concepts immediately, eliminating tedious manual entry.
Optimized Spaced Repetition Scheduling
Each generated card is integrated into a sophisticated learning algorithm that schedules reviews based on memory decay models, maximizing long-term retention effortlessly.
Targeted Review & Exam Prep
Set a specific exam date, and the system will adjust the review cadence to ensure peak knowledge recall right before your test, building confidence.
Collaborative Learning Links
Quickly share robust study decks with classmates or study groups using a unique public link, ensuring everyone prepares with the same high-quality material.
From Raw Material to Review Ready in Three Steps
We streamline the cognitive load associated with study prep so you can focus purely on learning and recall.
- 1
Input Your Source Material
Either upload your lecture notes (PDF, DOCX, PPT) or image scans, or simply type a prompt describing the subject you need to master.
- 2
AI Generation & Customization
Our advanced model processes your content, generating atomic, high-utility flashcards optimized for active recall. Select your target exam date now.
- 3
Start Studying Smarter
Begin reviewing immediately. The platform automatically manages your spaced repetition schedule, prompting you when review is most effective.
Why Digital AI Flashcards Beat Traditional Formats
Flashcards size in inch concerns are entirely irrelevant when using modern, AI-driven learning platforms like ours. Instead of worrying about paper stock or physical dimensions, you leverage instantaneous digital generation tied directly to proven cognitive science techniques. We bypass the administrative burden of physically organizing, writing, and sorting cards, allowing students and professionals to maximize study time through efficient content input and smarter review algorithms.
- Generating decks from lecture slides instantly
- Utilizing spaced repetition for long-term memory encoding
- Creating atomic questions that enforce true active recall
- Sharing validated study sets across a study cohort
- Choosing between standard or advanced AI models for generation
Whether you are preparing for a comprehensive final or learning specialized medical terminology, the precision of AI-generated cards ensures you practice retrieval from material you own or input. This tailored approach, unlike static, off-the-shelf physical sets, guarantees every card addresses a specific knowledge gap identified in your source documents.
Frequently Asked Questions About AI Flashcards
Clarifying how our digital tools work and the value they provide over traditional study methods.
Can I edit the flashcards after the AI generates them?
Currently, the system focuses on high-fidelity, automated generation directly from input sources. While editing capabilities are planned, the core benefit lies in instant, review-ready decks.
What specific file types can I upload to generate cards?
You can upload common formats including PDF, DOCX, and PowerPoint files (PPT/PPTX), as well as standard image files containing text.
Is there a cost associated with using the advanced AI model?
The basic generation feature is free. The more advanced, powerful AI model is reserved for users on our paid subscription plans, which also include higher monthly generation credits.
How does setting an exam date improve my studying?
Setting the date allows our scheduling algorithm to calculate the optimal review intervals leading up to that date, prioritizing high-stakes concepts closer to the target review time.