CogniGuide
Stop Typing, Start Learning: Import Flashcards Directly From Your Files
Transform lengthy documents—PDFs, PPTs, or Word files—into powerful, spaced repetition flashcards instantly using advanced AI. Skip tedious data entry and focus on mastering complex material.
No credit card required
The Smarter Way to Study Materials
Our platform eliminates the friction between consuming content and active recall, building scientifically optimized study schedules around your uploaded coursework.
Universal File Ingestion
Seamlessly import your lecture slides, research papers, or textbook chapters from PDF, DOCX, and PowerPoint formats. The AI processes your exact source material for maximum relevance.
Cognitive Science Scheduling
Every generated card is integrated with spaced repetition scheduling. This optimizes review timing based on cognitive science principles to ensure long-term memory retention.
Flexible Creation Options
If you don't have a file, simply type a prompt detailing the topic (e.g., 'Key concepts in Organic Chemistry reactions'), and our AI will build your customized deck immediately.
Effortless Collaboration
Need to share your expertly generated study sets? Create a public link for classmates or study groups to access and review the same AI-optimized flashcards instantly.
Your Study Workflow, Automated in Three Steps
From dense document to ready-to-use, high-utility flashcards, our process integrates seamlessly into your existing academic schedule.
- 1
Upload Your Source Material
Upload one or multiple files (PDF, DOCX, PPT, image) containing your notes, or use the prompt input to define your learning topic.
- 2
AI Generates Cards & Schedule
Our engine parses the content, extracts key concepts, and generates question-answer pairs. Simultaneously, it applies a spaced repetition algorithm based on your desired exam date.
- 3
Review, Recall, and Master
Begin practicing immediately. The system tracks your performance to dynamically adjust review intervals, ensuring efficient active recall mastery.
Mastering Active Recall with AI-Powered Import Flashcards
Import flashcards directly using your existing study documents is the fastest route to effective knowledge consolidation. Traditional methods demand hours manually transcribing notes into flashcards, a process proven inefficient by learning experts. Our AI tool bypasses this entirely, leveraging technology to extract core information from complex files like research papers or lecture PowerPoints, ensuring that every card supports genuine active recall and combats the forgetting curve.
- Converting semester-long notes into study sets
- Generating cards for specific textbook chapters via file upload
- Using prompt generation when notes are unavailable
- Setting exam deadlines for optimized review sequencing
- Sharing complex topic decks with study partners
For students facing high-stakes exams, the ability to quickly process vast amounts of textual data is crucial. By utilizing advanced models, we ensure semantic accuracy in the Q&A generation, transforming unstructured data from your uploads into structured, high-utility assets perfectly scheduled for peak learning efficiency.
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Frequently Asked Questions
Quick answers about file compatibility, scheduling, and pricing.
What types of files can I use to import flashcards?
You can upload common academic formats including PDF, DOCX, PowerPoint (.ppt/.pptx), and various image files. The AI processes the text content within these uploads.
How is the spaced repetition schedule determined?
The scheduling algorithm is based on established cognitive science principles. You can influence the schedule by setting a target exam date, which informs the AI when to prioritize reviews.
Is the service completely free to import flashcards?
Yes, a robust free tier allows you to create and use flashcards. Premium plans offer increased generation credits and access to a more powerful, advanced AI model.
Can I edit the flashcards after the AI generates them?
Currently, the focus is on rapid, high-quality AI generation directly from sources. The system relies on the accuracy of the initial content extraction.