CogniGuide
Transform Any Material into Smart 4 x 6 Flashcards with AI
Forget the constraints of physical cards. Upload your PDFs, PPTs, or DOCX files, or simply ask the AI to create custom study sets tailored to your needs, complete with optimized spaced repetition schedules.
No credit card required
The Modern Upgrade to Traditional Study Methods
Our platform mimics the perfect organization of physical flashcards but supercharges learning efficiency using cognitive science principles.
Universal Input Conversion
Instantly convert lecture slides, dense textbook sections, or even photos of handwritten notes into clean, usable digital flashcards. Supports PDF, DOCX, PowerPoint, and images.
AI-Powered Content Extraction
Use simple text prompts to guide the AI. Request cards on specific concepts, chapters, or definitions, bypassing the need to upload source material entirely.
Optimized Spaced Repetition
Move beyond rote memorization. Our underlying algorithm schedules reviews based on proven cognitive science models, ensuring maximum retention right before you need it.
Exam Date Scheduling
Set a target exam date, and the system will automatically adjust the review frequency, prioritizing difficult concepts to ensure you are prepared when it matters most.
From Source Material to Study Ready in Three Steps
We streamline the time-consuming process of creating study aids so you can focus purely on mastering the material.
- 1
Input Your Data
Upload your existing study files (PDF, DOCX, images) or type a precise prompt describing the topic you need to learn. This replaces the need for manual cutting and writing.
- 2
AI Generates Cards
Our intelligent engine parses the content, extracts key facts, and formats them into atomic question-answer pairs, saving you hours of manual curation.
- 3
Study & Schedule
Review your custom deck immediately, set your exam date for optimized scheduling, or share the learning set instantly with peers via a public link.
Mastering Active Recall Beyond the 4 x 6 Format
Creating 4 x 6 flashcards has long been the gold standard for structured self-testing, demanding focused effort in distilling information. Our AI system respects this established study workflow but removes the significant burden of manual card creation. By leveraging advanced language models, we automate the process of identifying core concepts and formatting them for active recall. This means students can spend less time structuring their materials and more time engaging in high-yield practice, leading to deeper understanding and better performance on assessments.
- Converting dense legal case summaries into Q&A format.
- Generating vocabulary sets directly from imported articles.
- Creating topic summaries suitable for spaced repetition review.
- Utilizing prompts for creating specialized medical mnemonics.
Whether you are preparing for board certification or tackling complex university coursework, the effectiveness of flashcards relies on quality questioning. Our system ensures atomic questions that target single concepts, perfectly simulating the utility of well-made physical 4 x 6 flashcards while integrating sophisticated scheduling logic.
Frequently Asked Questions About AI Flashcards
Quick answers regarding input methods, pricing, and advanced features.
Is this service truly free to start using?
Yes, the core functionality is completely free. You receive a generous allocation of generation credits to test the power of the AI immediately.
How is the spaced repetition schedule determined?
The schedule adapts dynamically based on your performance during reviews. You can also input a specific exam date to tailor the review cadence leading up to that day.
Can I share the decks I create with classmates?
Absolutely. After generation, you can create a public sharing link for any deck, allowing peers to access and study the exact material you generated.
What differentiates the paid plan from the free tier?
The paid plan offers significantly more generation credits monthly and grants access to our more advanced, high-capacity AI model for potentially better quality extraction from very large documents.