CogniGuide
Instantly Generate AI Flashcards From Your Notion Notes
Seamlessly convert your detailed Notion databases, meeting summaries, or uploaded study materials (PDF, DOCX, PPT) into intelligently spaced repetition flashcards. Or, simply type a topic and let the AI build the deck for you.
No credit card required
Smarter Studying Starts Here
We integrate cognitive science principles with powerful AI to transform your existing study material into high-yield review sessions.
Multi-Format Ingestion
Upload your Notion exports, PDF textbooks, PowerPoint slides, or images, and our system extracts key concepts automatically, saving you hours of manual data entry.
Spaced Repetition Scheduling
Our learning algorithm optimizes review timing based on established cognitive science models, ensuring you recall information just as you are about to forget it for long-term retention.
Goal-Oriented Prep
Set a specific exam or deadline date, and the system adjusts the review schedule intensity, helping you pace your learning effectively to meet that critical study milestone.
Effortless Sharing
Need to collaborate? Generate a public link for your AI-created deck, allowing classmates or study groups to access the same optimized review material instantly.
Your Study Material to Review Deck in Three Simple Steps
Forget tedious formatting. Upload your source content—whether it’s a Notion export or a typed prompt—and let the AI handle the heavy lifting.
- 1
Supply Your Source Content
Choose your method: upload study files (PDF, DOCX, PPT, images) or input a specific topic prompt describing the material you need to master.
- 2
AI Generates Flashcards
Our advanced model instantly parses the content or topic, extracting precise Q&A pairs formatted optimally for active recall practice.
- 3
Schedule & Study
Set your desired exam date, and immediately begin practicing with our integrated spaced repetition review system for peak knowledge retention.
Mastering Complex Topics with AI-Driven Flashcards for Notion Users
Flashcards Notion users create manually are often scattered, inconsistent, or suffer from poor review scheduling. With CogniGuide, you move beyond simple note conversion. We leverage your existing investment in knowledge management by automatically generating powerful study tools directly from your documents or prompts. This targeted approach ensures high material relevance, mimicking the structure you prefer but adding the necessary layer of cognitive science optimization via spaced repetition.
- Converting dense PDF chapters into bite-sized questions
- Creating practice sets from raw meeting or lecture transcripts
- Building focused decks on command for immediate review needs
- Utilizing expert algorithms for superior long-term memory encoding
- Sharing optimized study sets with accountability partners
Students often struggle not with learning the material, but with structuring effective active recall practice. By streamlining the creation process—especially when integrating concepts that might be logged across various Notion pages—you reclaim valuable study time that can be redirected toward deep understanding rather than repetitive formatting tasks.
Frequently Asked Questions About AI Flashcard Generation
Quick answers to common questions regarding file types, pricing, and study optimization.
Can I upload a Notion export file directly?
Yes, the system supports common document exports. For best results, ensure your Notion export is clean, and upload it as a PDF or DOCX file.
Is this service truly free to use?
The basic tier is completely free, allowing you to generate a set amount of flashcards daily. Paid plans offer higher limits and access to premium AI models.
How does spaced repetition improve learning?
It schedules reviews at increasing intervals, targeting the forgetting curve. This ensures you solidify memory just before passive forgetting occurs, making study sessions highly efficient.
Can I edit the cards the AI generates?
Currently, the focus is on high-speed, high-accuracy generation based on source material. While editing is planned, initial review should focus on testing the AI-generated structure.