Lecture Slides to Flashcards (with Anki & Quizlet Export)
Flashcards are the highest-leverage study tool ever invented. Spaced repetition with active recall produces some of the largest, most replicable effects in cognitive science (Cepeda et al. 2006; Karpicke & Blunt 2011). The catch is that building good flashcards from a 60-slide lecture deck is tedious — and tedium is why most students never finish a deck before the exam.
This guide shows you how to convert any PowerPoint or PDF lecture deck into ready-to-study flashcards in about 30 seconds, preview them in your browser, and export them to Anki (.apkg) or Quizlet (.tsv) with one click.
TL;DR — Drop your
.pptx,.ppt, or.apkgdeck) and Quizlet (downloads an importable TSV).
Why Flashcards Beat Re-Reading and Highlighting
Three findings from cognitive science consistently rank flashcards as a top-tier study technique:
- Active recall outperforms passive review by a wide margin. Trying to retrieve an answer strengthens memory more than re-reading the answer (Roediger & Karpicke 2006).
- Spaced repetition beats massed practice. Reviewing a card 1, 3, and 7 days after first learning it produces vastly stronger long-term retention than studying it three times in one evening (Cepeda et al. 2006).
- Desirable difficulty matters. The brief struggle to recall the answer — not seeing the answer — is what consolidates the memory (Bjork & Bjork 2011).
Anki and Quizlet exist precisely to deliver these three things. The only thing they don't do is generate the cards from your lectures. That's the gap this workflow fills.
The Manual Way (and Why Most Students Give Up)
Building a flashcards deck by hand looks like:
- Open the
.pptxand read each slide carefully. - Decide which facts on the slide are testable.
- Write a question that targets the fact (not just "What's on slide 12?").
- Write the answer in your own words.
- Type the Q/A into Anki or Quizlet, one at a time.
- Repeat 80–150 times per deck.
For a 14-week course with one slide deck per week, that's roughly 30 hours of pure card-creation work — before any actual studying happens. Most students start strong in week 1 and stop by week 3.
The AI workflow below collapses card creation to seconds, so the only time you spend is the time you'd want to spend anyway: reviewing the cards.
The AI Way: Slides → Flashcards in 30 Seconds
- Open https://sharayeh.com/en/powerpoint-to-flashcards (or the parent Turn Slides into Notes page and pick the Flashcards style).
- Drag your
.pptx,.ppt, or.pdflecture file into the upload area. Files up to 50 MB work for free; legacy.pptis auto-converted server-side using LibreOffice. - Click Generate. A capped progress meter runs for ~25 seconds while the model extracts text from every slide, identifies testable facts, and writes Q/A pairs.
- Preview each card as a flippable tile. Click any card to reveal the answer. With ≥4 cards you also get a Quiz Me button that runs you through the deck one card at a time with self-graded scoring — no account required.
- Pro users see two extra buttons in the preview header:
- Anki — downloads a real
.apkgdeck. - Quizlet — downloads a
.tsvfile ready for Quizlet's "Import data" flow.
- Anki — downloads a real
That's the entire pipeline. Upload, click, study.
What the AI Actually Generates
The model doesn't just split the slide bullets into Q/A. It performs four passes:
- Text extraction — every slide's title, body, and speaker notes are pulled from the OOXML (or the PDF page text).
- Testable-fact identification — it scans for definitions, formulas, dates, theorems, function signatures, and numbered lists. Decorative copy ("Welcome to lecture 3!") is skipped.
- Question generation — for each testable fact it writes a question that targets understanding, not recognition. Example: "What is the time complexity of binary search?" rather than "What's on slide 12?".
- Answer condensation — verbose slide bullets are rewritten into compact answers a student would write on a real exam.
A typical 60-slide lecture produces roughly 30–60 cards. Decks with heavy bullet content can produce more; decks with mostly visuals produce fewer.
A Worked Example
Suppose your slide deck has these three slides on data structures:
Slide 8 — Hash Tables
- Average lookup: O(1)
- Worst case: O(n)
- Collision strategies: chaining, open addressing
Slide 9 — Hash Functions
- Should be deterministic
- Should distribute uniformly
- Common: SHA-1, MurmurHash, FNV
Slide 10 — Load Factor
- α = n/m where n = entries, m = buckets
- Resize when α > 0.75 (typical)
The flashcards the converter generates look roughly like this:
### Card 1
Q: What is the average-case time complexity of a hash-table lookup?
A: O(1).
### Card 2
Q: What is the worst-case time complexity of a hash-table lookup?
A: O(n) — when many keys collide into the same bucket.
### Card 3
Q: Name two common strategies for handling hash-table collisions.
A: Chaining (linked list per bucket) and open addressing (probing for the next free slot).
### Card 4
Q: What two properties should a good hash function have?
A: It must be deterministic and distribute keys uniformly across buckets.
### Card 5
Q: Define the load factor of a hash table.
A: α = n / m, where n is the number of entries and m is the number of buckets.
### Card 6
Q: At roughly what load factor do most hash-table implementations resize?
A: When α > 0.75 (the classic threshold; some implementations use other values).
Each card is a pure recall prompt — exactly the shape Anki and Quizlet were designed to drill.
Exporting to Anki (.apkg)
Click the Anki button in the preview header (Pro). The download is a real .apkg package — not a CSV — which means:
- It contains a unique deck ID and a proper SQLite database, so re-imports update the same cards instead of duplicating them. This is critical when your professor adds new slides mid-semester.
- It works with Anki desktop (Mac, Windows, Linux), AnkiMobile (iOS), and AnkiDroid (Android).
To import:
- Save the downloaded
sharayeh_<job-id>.apkgfile. - Open Anki and choose File → Import (desktop) or tap the file in your Files app (mobile).
- The deck appears in your collection ready to study.
Tip. If you want all your course decks in one parent deck, rename the imported deck inside Anki (e.g. CS221 → Lecture 03). Anki will preserve the parent/child grouping on subsequent imports.
Exporting to Quizlet (.tsv)
Click the Quizlet button in the preview header (Pro). The download is a .tsv file with one card per line, term and definition separated by a tab — which is exactly the format Quizlet's import flow expects.
To import:
- Open Quizlet and create a new study set.
- Click + Import.
- Open the downloaded
.tsvin a text editor, copy everything, and paste it into the Quizlet import box. - Set the term/definition separator to Tab and the card separator to New line.
- Click Import — the cards appear in your set.
Quizlet's free tier supports unlimited imported sets and includes Match, Test, and Learn modes that work well with the Q/A format the converter produces.
Anki vs. Quizlet: Which Should You Pick?
Both work. The right choice depends on how you study:
| Anki | Quizlet | |
|---|---|---|
| Spaced-repetition algorithm | ✓ Best in class (FSRS / SM-2) | Basic |
| Free tier | Fully free, all features | Free with ads; some features Pro-only |
| Desktop + iOS + Android | ✓ All free except iOS app ($25 one-time) | ✓ |
| Match / Test / Learn games | ✗ | ✓ |
| Offline | ✓ | Limited |
| Best for | Long-term, high-stakes (med school, bar, certs) | Short-term, gamified study |
Rule of thumb: if you'll review the cards for more than 4 weeks, use Anki. If it's a sprint to one exam, Quizlet's gamified modes are more motivating.
You can export both — there's no extra cost, and the same job stays available for re-export later.
A High-Impact Study Workflow
The workflow that produces the best exam outcomes for our power users:
- Upload one lecture per session the day after the lecture (encoding pass).
- Generate Flashcards + a quick Bullet Summary pass.
- Skim the bullet summary to refresh the lecture context (~3 minutes).
- Run the in-browser Quiz Me on the new cards (~5 minutes).
- Export to Anki and let the spacing algorithm schedule reviews automatically.
- The week before the exam, re-export the lectures you're weakest on as Cornell notes for a deep revision pass.
Total active-study time for a one-hour lecture: about 10 minutes the day after, then 2–3 minutes per Anki review session for the rest of the term. This is dramatically less than re-reading slides and dramatically more effective.
Comparison: Sharayeh Flashcards vs. Generic AI Tools
| Sharayeh | Generic chat (ChatGPT, etc.) | Anki/Quizlet AI add-ons | |
|---|---|---|---|
Reads .pptx directly |
✓ | ✗ (need to copy text) | Varies |
Reads .ppt legacy format |
✓ Auto-converted | ✗ | ✗ |
Reads .pdf lecture exports |
✓ | Partial | Varies |
Real .apkg output (not CSV) |
✓ | ✗ (CSV only, duplicates on re-import) | Varies |
| Real Quizlet TSV output | ✓ | ✗ (manual reformat) | Varies |
| In-browser flip + Quiz Me preview | ✓ | ✗ | ✗ |
| Arabic / RTL flashcards | ✓ | Partial | ✗ |
| Files persisted for re-export | ✓ | ✗ | Varies |
| Free preview without signup | ✓ | Free chat, but manual | Account required |
The single-purpose focus is the difference: every step from upload to .apkg is built for the lecture-deck → flashcards path, so nothing else gets in the way.
For a broader look at the four note formats together, see our 2026 Turn Slides into Notes guide.
Frequently Asked Questions
How many cards will a 60-slide lecture produce? Roughly 30–60. Decks with dense bullet content produce more; decks with mostly visuals produce fewer.
Can I edit the cards before exporting? Edits inside the in-browser preview aren't saved back to the export. The recommended pattern: download the .apkg or .tsv, then refine inside Anki / Quizlet (both have fast bulk-edit UIs).
Will re-importing an updated .apkg duplicate my existing cards? No. The deck ID is stable for a given Sharayeh job, so Anki updates the existing deck instead of creating a duplicate. Note that new conversions of the same lecture produce a new deck.
Does it work with .pdf slides? Yes — every page is treated as a slide. Image-only scanned PDFs produce weaker results; re-export from the source if possible.
Is the export button gated? The in-browser preview and Quiz Me mode are free for everyone (one conversion per day). The Anki and Quizlet export buttons are part of the Pro plan.
What languages are supported? Arabic, English, Spanish, French, Portuguese, and Czech. Arabic decks are exported with proper RTL text direction.
What if my deck has no testable facts (e.g. mostly images)? The model returns an explicit message — "No flashcards found in this job" — instead of inventing cards. Re-run with the Cornell or Study Guide style for visual decks.
How long are exports kept? Generated artifacts (notes + flashcards source) are stored in private artifact storage so you can re-export later. Nothing is shared, indexed, or used to train models.
Try It Now
- Tool: PowerPoint to Flashcards (or the parent Turn Slides into Notes)
- Sibling tools:
- Related reading:
The fastest way to know if AI flashcards work for your course is to convert one lecture, run Quiz Me for five minutes, and check tomorrow what you remember. Total time: ten minutes. Total cost: nothing.