The Fastest Way to Create Flashcards

You've probably already heard the pitch on flashcards. Active recall, spaced repetition, it actually works if you use it properly. What usually doesn't get explained well is the boring, practical question underneath all of that: what's the fastest way to actually get material into card form, without the process itself eating the hour you meant to spend studying in the first place.

"Fastest" also splits into two different problems, and most people only think about one of them. There's fastest per card, the few seconds it takes to turn one fact you just read into something reviewable. And there's fastest for a whole pile of material, turning an entire chapter or lecture into a full deck in one sitting. They're not the same problem, and they don't have the same answer.

If you want the background on why any of this matters first: how to use flashcards effectively.

Fastest per card: capture it the second you see it

The fastest way to make a flashcard will always be making it while you're already looking at the material, not after class, not "I'll add it to a list and get to it Sunday night." The moment you close the tab or flip to the next slide, you've introduced a cost. You have to reopen an app later, find the right folder, and try to retype something from memory that, by then, you don't actually remember that well anymore.

This is the specific problem a browser extension solves, and it's why I'd put it above every other method when we're just talking about one card at a time. Nebulearn's Chrome extension sits as a toolbar icon and works on whatever page you're already on, a PDF, a Google Doc, lecture slides, an article you're reading for class. There's no new tab to open and no separate app to switch into.

Here's what that actually looks like while you're reading:

• You highlight text on the page, whatever caught your attention.
• Alt+Shift+Q sends it straight to the front of a new card, and Alt+Shift+A sends it to the back, both without you ever leaving the page you're on.
• Alt+Shift+G hands whatever's sitting in the sidebar to the AI and asks it to turn that into a full card.
• Alt+Shift+S saves it, and you're back to reading again before you've really lost your place.

None of that requires touching the mouse or opening a second tab, and that's really the whole point of it. Every extra click is another chance to think "I'll do this later" and then, realistically, not do it.

Speed only counts for something if the card that comes out the other end is actually usable, so you can attach custom instructions to what the AI generates for you, things like "one-sentence answers only" or "definition style, always name the specific term." That way fast doesn't end up meaning generic.

Fastest for a whole pile: paste it and generate

Different situation now. You just finished a long article, a chapter, or your own notes from a lecture, and what you actually want is a full deck out of it, not one card built at a time.

This is where "just ask ChatGPT or Claude to write me some flashcards" comes up, and honestly it's a reasonable first move. But there's a step people tend to skip over: an AI chat window isn't a flashcard app. It doesn't schedule when you review each card, it doesn't track what you're actually missing, and the output is gone the second you close the tab. So the real question becomes where all of that is going to actually live and get reviewed. Popular answers here are Anki and Quizlet, and if you want the fuller comparison there's Anki alternatives.

If speed is genuinely the goal, the fastest version skips the copy-paste step entirely. You paste the text, or upload the PDF, straight into something that drafts the cards directly, instead of prompting an AI in one tab and then pasting its output into another app in a second tab. That's what Nebulearn's generation is actually built around. Free tier gives you 20 AI generations a week and 300 saved questions total, which is usually enough that one reading assignment fits into a single generation instead of several.

Whatever comes back on the first draft will need editing, and that's true of pretty much every AI method, not something specific to one tool. How to make flashcards from a PDF has the full edit workflow if you want it, but the short version is: budget about ten minutes to split up long answers, delete anything that isn't actually testable, and rename vague terms before you count the deck as done.

Speed in creation doesn't mean much without speed in review

Making forty cards in ten minutes feels genuinely productive, but if you then flip through all forty of them every single day regardless of how well you already know each one, you've just moved the time cost from creation over to review. That's the other half of "fastest," and it's where spaced repetition actually earns its keep. Cards you get wrong come back soon, cards you already know well wait longer, so your daily queue stays small instead of just growing forever in the background.

Nebulearn schedules that with something called FSRS. If you want the mechanics behind it, what is FSRS covers that, and new vs due cards explains which cards actually show up in your queue on a given day, so "fast to make" doesn't quietly turn into "slow to review" a few weeks in.

Fastest methods, ranked

Method	Speed per card	Best for
Extension capture (highlight → keybind)	Seconds	Anything you're actively reading right now
Paste-and-generate (AI draft)	Minutes for a full deck	A chapter, article, or lecture you just finished
Typing manually	Slowest	Small lists with no source material to pull from

Start with whatever you're reading right now

If you're mid-textbook or mid-lecture right now, install the extension and capture the next thing that seems worth remembering, in that exact moment, not after. If you just finished a long reading and have nothing to show for it yet, paste it into a generator and spend ten minutes editing the draft. Either way, the deck exists today instead of on some future Sunday that keeps not actually arriving.