Beginner's Remnote Turoial for studying in 14 mins

Remnote’s updated workflow is built around turning study notes into “knowledge compounds” through deliberate flashcard creation, spaced repetition, and bidirectional linking—so learning sticks beyond the next exam. The core message is that memorizing definitions verbatim from recordings often fails, while designing a system that supports understanding (and active recall) helps students connect concepts across subjects.

After logging into Remnote, the tutorial walks through the interface: notes are organized under tags like “All notes,” and the app distinguishes between “drafts” (where daily work begins) and “pinned” or “finished” items. The daily document is positioned as a starting hub, with quick access via Option + d. From there, the omnibar (opened by Command /) acts as the command center for functions, while the editor lets users adjust headings, highlight colors, and flashcard properties. Creating a new document uses a purple button, and the sidebar menu includes options for practicing flashcards with spaced repetition, sharing, and printing.

The study method hinges on a key distinction: note-taking versus note-making. Note-making aligns with the generation effect—students learn better when they actively produce material during encoding rather than passively copying. That framing leads to Remnote’s flashcard-first approach and its “parent-child” structure (a big umbrella term with smaller components housed beneath it). For example, “neural anatomy” can serve as a parent, with related cards nested under it.

Flashcard types are presented as tools for different learning tasks. “Basic cards” come in forward and double-sided variants (triggered by arrow controls), useful for defining core terms like what a neuron is. “Multi-line cards” (created with two colons and Enter) break down longer explanations. “Descriptor cards” (two semicolons) italicize the term and let students define parts such as dendrites, axons, the axon terminal, myelin sheath, and Schwann cells. For visual learning in anatomy, “image occlusion” lets users cover parts of a picture using command-click and drag, turning covered regions into blue occlusion boxes. “Fill in the blank” cards (using squiggly brackets) support sentence-level recall, such as identifying keywords in facts like the neocortex having six layers. “Lists” handle ordered sequences, demonstrated with the steps of the action potential—resting membrane potential, sodium channel opening and depolarization, potassium channel opening and repolarization, and the sodium-potassium pump restoring the resting state.

Practice is driven by spaced repetition, launched from the three-dot menu. Flashcards appear with shuffled prompts and emoji-based self-rating (crown for easy recall, smile for minimal effort, cracked face for difficulty, and an X for “can’t answer”), shaping future review timing.

Finally, the tutorial emphasizes connecting knowledge rather than hoarding isolated facts. Remnote’s update includes automatic word search across the database when text is highlighted, and it introduces references and portals for linking. References use double angle brackets to create bidirectional links (a two-way relationship rather than one-way “celebrity” referencing), while portals act like teleporting doors that update across locations. The workflow also includes a graph view to visualize relationships between documents.

The closing tradeoff is practical: most features mentioned are available on the free plan, but the Pro plan costs $6/month and a “lifelong learner” option bundles five years of cloud storage plus Pro features for $300. Image occlusion and portals are highlighted as paid features, and the tutorial notes potential downsides around app dependence—especially for extracting highlights from uploaded PDFs—before urging students to build their own learning system through experience and iteration.