Turn Lecture Notes into Flashcards with One Voice Command
You have 14 weeks of lecture notes. Making flashcards from all of them would take an entire weekend. Or you could say one sentence and have a background worker do it while you eat lunch.
From notes to flashcards in one command
“Computer, turn all my Neuroscience lecture notes into flashcards. Front should be the question or term, back should be the definition or explanation. Use Anki-compatible format.”
Flashcard set complete. Generated 342 cards from 14 lectures: • 127 terminology cards (term → definition) • 89 concept cards (question → explanation) • 64 mechanism cards (process → step-by-step breakdown) • 38 comparison cards (X vs Y → key differences) • 24 application cards (scenario → which principle applies) Exported as "Neuroscience_Flashcards.csv" in Anki-compatible format (semicolon-delimited, UTF-8). Ready to import directly.
342 cards. Categorized by type. Ready for Anki import. From 14 weeks of notes, while you did literally nothing.
Why multi-pass matters for flashcard generation
A single-pass AI generating flashcards from a semester of notes will produce maybe 50-80 cards — heavily weighted toward the first few lectures. The model runs out of steam on long inputs. With Vox's multi-pass approach:
- Each lecture is processed with full attention in its own pass
- The worker's journal tracks which terms have already been carded, preventing duplicates
- Later lectures reference concepts from earlier ones, creating cross-referencing cards automatically
- A verification pass de-duplicates and ensures coverage across all 14 lectures
Different card types for different studying
Vox doesn't just make definition cards. It analyzes the structure of your notes and generates appropriate card types:
“Computer, show me a sample of each flashcard type you generated.”
**Terminology:** "What is long-term potentiation (LTP)?" → "A persistent strengthening of synaptic connections based on recent patterns of activity, considered a cellular mechanism for learning and memory." **Concept:** "Why do action potentials propagate in only one direction?" → "The refractory period of the voltage-gated sodium channels behind the wavefront prevents backward propagation." **Mechanism:** "Describe the steps of synaptic vesicle release." → "1. AP arrives → 2. Ca²⁺ channels open → 3. Ca²⁺ influx → 4. Vesicle fusion via SNARE proteins → 5. Neurotransmitter release into cleft." **Comparison:** "Excitatory vs inhibitory postsynaptic potentials?" → "EPSPs depolarize (Na⁺/Ca²⁺ influx), IPSPs hyperpolarize (Cl⁻ influx / K⁺ efflux). EPSPs bring closer to threshold, IPSPs move farther." **Application:** "Patient shows inability to form new declarative memories but retains procedural learning. Which structure is damaged?" → "Hippocampus (bilateral damage). Procedural memory relies on basal ganglia/cerebellum, not hippocampus."
Works with any note format
Vox's indexer handles everything you throw at it:
- Markdown notes (.md)
- Word documents (.docx)
- Plain text (.txt)
- PDFs — including scanned lecture slides
- Even images of handwritten notes via screen capture
For scanned or handwritten notes, use Vox's screen capture tool first to extract the text, then index the extracted content. The flashcard worker will process it the same way as typed notes.
Spaced repetition, supercharged
The Anki-compatible CSV output means you can import directly into your spaced repetition app and start studying immediately. No manual card creation, no reformatting, no cleanup needed. 14 weeks of content turned into a structured study deck in minutes.
And because the cards were generated by the background worker while you were doing something else, you didn't lose a single hour of study time to card creation.
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