Lecture slide → practice questions · the converter
One slide in. Four cards out.
Every other lecture-slide-to-practice-questions converter on the first page of results does the same thing: feed in a deck, get back a list of multiple-choice questions, one or two per slide, all in the same MCQ format. That is a 1-to-1 mapping. Studyly's converter is 1-to-4. From each slide that carries a real fact, the pipeline produces an MCQ, a free-response stem, a case-style scenario, and (if the slide has a labeled figure) an image-occlusion card. Same fact, four surface forms, all anchored back to the source slide.
A 90-slide cardiology deck comes out as roughly 200 cards in about 60 seconds. Scored 81.3 on a held-out three-document eval; the closest non-Studyly competitor on the same eval scored 78.0, and the most popular alternative scored 57.8. This page walks through the conversion pipeline stage by stage, with the four-format anchor in the middle.
Direct answer · verified 2026-05-01
What does the converter actually do?
Studyly turns a 90-slide lecture deck into roughly 200 practice questions in about 60 seconds. The pipeline runs four generators in parallel against each slide that carries a fact: an MCQ, a free-response stem, a case-style scenario, and an image-occlusion card from labeled diagrams on the slide. Every output cites the source slide number when you miss. The methodology and the eval that produced the 81.3 score (vs Turbolearn 57.8) are on the quality page.
Why most converters stop at one MCQ per slide
The first page of results for this query is dominated by tools that do the exact same thing as each other: feed in a PowerPoint, get back a list of multiple-choice questions, one or two per slide, all in the same format. UseMemo, TurinQ, ClassPoint, Knowt, StudyFetch, Mindgrasp, and Plus all converge on this shape. Even Jungle's own short landing page on this conversion describes only three formats (flashcards, multiple choice, case studies) without showing how the slide-anchor is preserved across them.
The 1-to-1 shape is easy to build. Run a slide through a model, prompt it for an MCQ, append to the list. The trouble starts the third time you drill the deck. You have already memorized the shape of every stem, you have memorized that the answer to slide 23 is option C, and the converter has nothing else to throw at you. You go back to the deck, scroll for a fact you might have missed, re-read it, and call it studying.
A 1-to-4 mapping fixes the third-take problem in a different way than auto-rephrasing the stem (which Studyly also does). Each of the four formats tests a different cognitive skill: recognition, recall, applied scenario, visual recall on the diagram. The same slide drilled four ways produces deeper retention than the same slide drilled four times in MCQ form. Auto-rephrasing handles the drift problem inside one format; multi-format generation handles the fact that one cognitive skill is not the only thing the exam will test.
The six stages of the conversion
Six stages run end-to-end in about 60 seconds for a 90-slide deck. Stages 4 and 5 run as a parallel pipeline (four generators concurrently, then a rubric gate per card), which is why the wall-clock conversion time does not scale linearly with output card count.
lecture deck → drillable cards
Slide deck in
PPTX, PDF, KEY, scanned
Layout + figure detect
Text vs labeled image
Fact extraction
One unit per slide
4 generators in parallel
MCQ, FR, case, IO
Rubric gate
Regen on fail
Slide-anchored cards
Cite slide N on miss
Each stage in detail. The first three are the intake side, the last three are the generation side.
Slide intake
PPTX, KEY, PDF, image-only scanned PDF, all normalized to a per-slide internal representation. The four generators downstream don't know which file type they came from.
Layout and figure detection
Each slide is classified as text-bearing, figure-bearing, or both. Labeled figures are routed to the image-occlusion generator. Title slides, agenda slides, and references slides are flagged as no-fact and skipped.
Fact extraction
One slide = one tight bullet group. The extractor lifts the testable fact from the slide as the unit; long passages that cross slide boundaries are not flattened into one paragraph the way a textbook PDF would be.
Four-format generation
Four generators run in parallel against the extracted fact. Wall-clock latency stays around 60 seconds for a 90-slide deck because the generators run concurrently, not sequentially.
Rubric gate
Each generated card is scored on factual correctness, stem clarity, distractor plausibility, and type coverage before it ships to your queue. Cards that fail are regenerated. Same rubric runs on every revisit-time rephrase.
Slide-anchored output
Every card carries the source-slide pointer. On a wrong answer the explain panel quotes the slide back at you and names the slide number. You can jump back to slide 23 in your original deck instead of scrolling 90 slides.
Anchor fact · the part 1-to-1 converters can't do
Slide 23 of a cardiology deck. Four cards.
Take a real example. Slide 23 of a heart-anatomy lecture deck contains the fact "the interventricular septum is the muscular and membranous wall that separates the right and left ventricles" and a labeled cross-section diagram of the heart. From that one slide, the converter produces these four cards in parallel.
The MCQ tests recognition (pick from four options where one distractor is named on the same slide). The free-response strips the options away and tests cold recall. The case-style stem embeds the fact in a clinical scenario about a neonate with a ventricular septal defect, where the question does not name the structure. The image-occlusion card masks the label on the diagram, forcing visual recall from the structure's shape and position. All four return "slide 23, Cardio_Lecture_4" in the explain panel when you miss.
Four cards from one slide, side by side
The four formats Studyly emits from slide 23 of the example deck. They share the same underlying fact and the same source-slide pointer; the surface form is different on each.
MCQ from slide 23
Q: Which structure separates the right and left ventricles? Options include the interventricular septum (correct), septomarginal trabecula (a plausible distractor pulled from the same slide), the moderator band, and the trabeculae carneae. Slide 23 is cited on miss.
Free-response from slide 23
Q: Name the wall that separates the right and left ventricles, and describe what it is composed of. No options. Forces cold recall. The grader checks for 'interventricular septum' and the muscular + membranous components.
Case-style from slide 23
A neonate presents with a harsh holosystolic murmur best heard at the lower left sternal border. Echo shows a defect in which structure? Same fact, embedded in a clinical scenario where the question doesn't name 'septum' anywhere in the stem.
Image-occlusion from slide 23
If slide 23 contains a labeled heart cross-section diagram, the labels (interventricular septum, papillary muscles, chordae tendineae, etc.) get masked one at a time. You recall the label from the structure shape and position. .apkg export carries the same image-occlusion cards into Anki.
What the four cards look like as raw output
The block below is the shape of the four cards as the generator emits them. The notable thing is the shared source-slide pointer on every record; that pointer is what threads back to the slide-number citation when you miss any of the four.
Studyly vs the typical 1-to-1 converter
The dimensions where the conversion behavior actually differs. "Competitor" here is the shape that the median tool on the first page of results follows; specific tools vary on individual rows.
| Feature | Typical converter | Studyly |
|---|---|---|
| Mapping shape (per slide) | 1 slide → 1 list of MCQs | 1 slide → 4 distinct cards (MCQ, FR, case, IO) |
| Image-occlusion from labeled diagrams | Stripped or not generated | Auto-generated when the slide has labeled figures |
| Source-slide citation on wrong answer | Generic explanation (model paraphrase) | Verbatim quote from source deck + slide number |
| Quality rubric on every card before it ships | None published | Four-criterion rubric, regen on fail |
| Public quality eval number | Not published | 81.3 on held-out three-document eval (vs Turbolearn 57.8) |
| Auto-rephrase the stem on revisit | Identical wording every take | Stem reworded, distractors reshuffled, fact preserved |
| Anki .apkg export including image-occlusion | MCQ-only export at best | MCQ + FR + case + IO Enhanced format |
The hour of manual conversion vs the 60 seconds
The realistic alternative to a converter is not a different converter. It is making the questions yourself, which is the step most students skip and then go back to highlighting the slides instead.
Going from slide deck to drillable practice
Open the cardiology deck. Open Anki. For each slide, type the front, type the back. Decide whether to make a free-response card or an MCQ. For diagrams, give up on image-occlusion because the Anki add-on is fiddly and you have a real exam in two weeks. Spend an hour or two before you have started studying.
- 60 to 120 minutes per 90-slide deck
- One format per card, in practice MCQ-only
- Image-occlusion usually skipped
The held-out eval, in numbers
Three source documents (a slide deck, a textbook chapter, a paper) were held out. Each tool generated questions from the same three documents. Every output was graded on factual correctness, stem clarity, distractor quality, and question-type coverage. Same documents, same rubric, same graders.
Higher is better. Full methodology and rubric definitions are on /quality. The same rubric runs as a per-card gate before each card ships, and again on every revisit-time rephrase, which is how the auto-rephrase doesn't drift away from the slide.
When this converter is the wrong tool
A few honest cases where the four-format converter above is overkill or beside the point.
- Computational problem sets. If your slide deck is mostly worked equations (calculus, physics, quantitative pharmacology dose calculations), you want a math problem-solver, not a quiz tool. Studyly handles concept questions, not the mechanics of working through an integral.
- You only need a one-off MCQ list to hand to your students. If you are an instructor and the deliverable is a flat list of MCQs in a Word doc to print and hand out in class, the four formats are wasted on you. Use a 1-to-1 converter and don't pay for the parts you won't use.
- The slides are confidential and cannot leave your network. Studyly is cloud-only. If your IT policy requires offline processing, this converter will not work for you. The decks live in a per-account workspace gated by your email; there is more on account-scoped storage in the secure study notes guide, but it is still cloud storage.
Related guides on this site
Three adjacent topics that go deeper on specific parts of the pipeline above.
- Study from professor slide deck — the daily routine that drills the cards above five minutes a night.
- Quiz generator from PDF: take #2, #5, #15 — what auto-rephrasing on revisit looks like across many takes of the same deck.
- The four-criterion quality rubric — the gate every generated card has to pass before it ships.
Try it on tomorrow's lecture
One slide in. Four cards out. About 60 seconds for the deck.
Free tier on app.jungleai.com, no credit card. Email gate sends a one-click access link.
Common questions about converting lecture slides to practice questions
What does it mean that the converter produces four cards from one slide?
When you upload a lecture deck, every slide that carries a real fact gets passed through four parallel question generators: an MCQ generator, a free-response generator, a case-style generator (which embeds the fact in a clinical or applied scenario), and an image-occlusion generator that runs only on slides with a labeled figure. The four cards share the same underlying fact and the same source-slide pointer, but the surface form is different on each one. Other converters on the first page of search results produce one MCQ per slide; Studyly's output for a 90-slide cardiology deck is roughly 200 cards because most slides yield 2 to 3 different question formats.
Why would I want four question formats per slide instead of one?
Because a single MCQ tests one cognitive skill (recognize the right option among four). A free-response stem forces you to recall the fact cold, with no options to anchor against. A case-style stem makes you apply the fact to a scenario where the question doesn't name the underlying concept directly. Image-occlusion forces visual recall on diagrams. The same slide drilled four ways produces deeper retention than the same slide drilled four times in the same MCQ format, which is what every 1-to-1 converter forces you into.
How does the converter decide which slides get image-occlusion cards?
An image-occlusion card is generated when the slide contains a figure with labeled regions: anatomy diagrams, biochem pathway maps, labeled microscopy, anything with text labels pinned to image regions. The extractor identifies the labels and the regions they point to, then the generator masks each label one at a time and produces a recall-the-label card. Slides that are pure bullet text don't get an image-occlusion card, only the other three formats. Slides that are pure figure with no labels get skipped on this format.
What does 'all four cards cite the same slide number' actually look like?
When you miss any of the four cards, the explain panel returns a verbatim quote from your source deck and the slide number it came from. Slide 23 of the cardiology deck on the interventricular septum is the source for an MCQ, a free-response card, a case stem about a neonate with a VSD, and (if the slide has a labeled heart cross-section) an image-occlusion card. All four explain panels cite 'slide 23'. You can jump back to slide 23 in your original deck instead of scrolling 90 slides looking for context.
How long does the conversion actually take?
About 60 seconds for a typical 90-slide lecture deck. The four generators run in parallel against the same extracted fact set, so you don't pay 4x the time for 4x the cards. The OCR pre-pass on a scanned slide deck adds roughly 2x to the conversion time, but the output (cards with slide-number citations) is the same.
Does the converter handle PowerPoint, Keynote, and PDF the same way?
Yes. The intake stage normalizes PPTX, KEY, PDF, and image-only scanned PDFs to the same internal representation (per-slide text, per-slide figures, per-slide notes). The fact extractor and the four generators don't know which file type they came from. The slide-number citation works on all of them. The only material difference is conversion latency: born-digital PowerPoint and PDF are fast, scanned image PDFs cost an OCR pass.
What gates a generated card from being shipped to me?
Every generated card runs through the same four-criterion rubric Studyly publishes on the quality page: factual correctness against the source slide, stem clarity, distractor plausibility (for MCQ and case-style), and question-type coverage across the deck. A card that fails any criterion is regenerated, not discarded silently. The same rubric runs at revisit time, which is how the auto-rephrasing on each revisit doesn't drift away from the slide.
What about a slide that says basically nothing? (title slide, transition slide, references slide)
Skipped. The fact extractor identifies slides that don't carry a testable fact (chapter dividers, agenda slides, blank transitions, references) and excludes them. So a 90-slide deck with 7 of those produces cards from the remaining 83 slides. That's why the per-deck card count varies a bit; a heavily-narrative deck with lots of section dividers might come out closer to 150 cards rather than 200.
Does it export to Anki with all four formats?
Yes. The .apkg export includes MCQ cards, free-response cards as basic front/back cards (no auto-grading on free response in Anki), case-style cards as basic front/back, and image-occlusion cards using the IO Enhanced format that the Anki image-occlusion add-on reads. The slide-number citation rides along in the source field of each card. The one thing the export doesn't carry is auto-rephrasing on revisit; Anki will show you the same wording every time, which is the reason most students drill inside Studyly and use the .apkg only as a portability hedge.
Is this only for medical students?
Power-user verticals are med, dental, nursing, pharmacy, vet, PA, pre-med, biology, anatomy, immunology, microbiology — anywhere the deck is the test blueprint and the underlying material is memorization-heavy. The converter behavior (four-format generation, slide anchoring) is field-agnostic; it works on any lecture deck. Where it falls down is computational problem sets where you need worked solutions step-by-step. Studyly handles concept questions, not the mechanics of solving an integral.