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CogniGuide

Effortlessly Make Flashcards AI Powered for Any Subject

Stop manually typing notes. Upload your PDFs, presentations, or simply describe what you need, and our AI instantly generates optimized flashcards ready for mastery.

No credit card required

Study Smarter, Not Harder: Core Capabilities

Leverage cognitive science principles built directly into the generation process, ensuring your study time maximizes retention.

Universal Input Conversion

Convert lecture slides (PPT), research papers (PDF/DOCX), or even images of handwritten notes directly into study sets. No manual transcription required.

Cognitive Spaced Repetition

Our underlying learning algorithm schedules reviews based on forgetting curves. This active recall strategy ensures concepts stick long-term, moving beyond simple memorization.

Exam-Targeted Scheduling

Input your exam date, and the system dynamically adjusts the review frequency, prioritizing weaker topics so you are fully prepared when it matters most.

Seamless Collaboration & Sharing

Generate a public link for any deck you create. Share complex material instantly with classmates or study groups, ensuring everyone masters the same core concepts.

Your New Study Workflow in Three Simple Steps

From raw material to optimized review sessions, the path to confidence is streamlined and fast.

  1. 1

    1. Input Your Source Material

    Upload your source documents (PDF, DOCX, PPT) or type a detailed prompt directly into the generation interface describing the topic you need covered.

  2. 2

    2. AI Generation & Scheduling

    The AI processes the content, structuring key facts into atomic question-and-answer pairs, automatically scheduling them using spaced repetition logic.

  3. 3

    3. Begin Active Recall Practice

    Access your new, ready-to-use flashcards immediately. Set your target date and start practicing active recall for guaranteed material retention.

Master Any Topic: The Easiest Way to Make Flashcards AI Optimized

To make flashcards AI powered effectively means moving beyond basic keyword extraction. Our platform understands educational content structure, allowing it to pull out core concepts, definitions, and relationships hidden within dense source material. This expertise in educational technology transforms hours of review preparation into minutes of setup, respecting the cognitive science behind effective long-term memory encoding via active recall.

  • Generating flashcards from dense legal statutes or case summaries.
  • Creating concept review sets from PowerPoint slides before a major presentation.
  • Turning detailed textbook chapter sections into study guides quickly.
  • Leveraging prompt engineering to refine specific learning outcomes for complex theories.

For students juggling multiple high-stakes exams, using the AI to handle the creation workload frees up vital time for deeper engagement with challenging areas. Our system supports both free use with standard generation credits and a premium tier offering access to superior models for even more nuanced understanding extraction.

Frequently Asked Questions

Quick answers about functionality, input methods, and pricing.

What file types can I upload to generate my flashcards?

You can upload common document formats including PDF, DOCX, and Microsoft PowerPoint files (.ppt/.pptx). Images containing text can also be processed.

Is setting an exam date mandatory for using the spaced repetition feature?

No, it is optional. If you set a date, the algorithm optimizes review frequency toward that goal; otherwise, it uses a default optimal spacing schedule.

What is the difference between the Free and Paid plans?

The Free plan offers core generation features with a set number of credits. The Paid plan provides significantly more generation credits and access to our more advanced, powerful AI model.

Can I edit the flashcards after the AI has generated them?

At this time, the primary function is high-speed, accurate generation. While we focus on high-quality initial output, direct editing capabilities are not yet implemented in the current release.