Best Anki Alternative for Chinese Reading Vocabulary (2026)

I built Flashcard, and my honest, disclosed-bias answer is that it’s the best Anki alternative in 2026 for one specific job: turning whatever Chinese text you’re actually reading — a news article, a chat log, a chapter of a novel — into vocabulary cards, with pinyin, definitions, and example sentences, in one paste. Anki doesn’t do that extraction step at all; you have to do it yourself or bolt on a separate tool first.

That’s a narrow claim on purpose. Anki is excellent at other things. Here’s how the main options compare before I go into the “when Anki wins” section, which I think matters more than most comparison posts are willing to admit.

Tool	Best for	Extraction from your own text?	Price
Flashcard	Turning text you’re reading into vocab cards fast	Yes, built-in AI extraction, paste and go	Free, browser-based
Anki	Long-term SRS archive, shared decks, offline desktop study	No — cards are made manually or via add-ons	Free, open-source
Pleco	Chinese dictionary lookups, mobile-first reading	Limited — reader add-on exists but it’s a paid add-on, dictionary-first not extraction-first	Free core app, paid add-ons
Migaku	Immersion learning from native media (video, web, text)	Yes, via browser extension across many content types	Paid subscription

Best Anki alternative for learning from real texts?

This is the question I actually built Flashcard to answer, so let me be specific about the workflow rather than just asserting it’s better.

Say you’re reading a Chinese news article, a friend’s WeChat message, or a page of a novel, and you hit a run of words you don’t know. The traditional path is: look each one up in a dictionary, copy the pinyin, copy the definition, open Anki, create a note, paste everything into the right fields, repeat for every word. That’s five or six steps per word, and it’s the single biggest reason people stop building vocabulary from what they’re actually reading and fall back to pre-made decks instead.

With Flashcard, you paste the whole passage in once. It uses AI (via OpenRouter) to pull out the 2-3 character Chinese words, and generates pinyin, a definition, and an example sentence for each one, automatically. You review the extracted list, and what’s left goes straight into the built-in SRS review system — the same reveal/pass/again mechanic Anki popularized, plus text-to-speech audio (Edge TTS, with a browser fallback) so you can hear each word before you commit it to memory.

The output isn’t locked in either. You can export via a shareable URL, as CSV, or straight to your clipboard, so if you do want an Anki archive alongside it, that’s one export away. There’s dark mode and custom backgrounds if you’re going to be staring at the review screen for a while, and the whole thing runs in the browser — no install, no account required just to try it.

I built this because I kept running into the same gap as a learner: the moment where you’ve actually found something worth reading in Chinese — a news article, a group chat, a product description — is exactly the moment most vocabulary tools go quiet. Dictionaries help you look up one word at a time. SRS apps help you review words you’ve already entered. Nothing sat in between, turning “here’s a wall of text with words I don’t know” into “here’s a deck.” That gap is the entire reason Flashcard exists, and it’s also why the comparison in this post is narrower than a typical “X vs. Y” post — I’m not claiming Flashcard replaces Anki as a general-purpose SRS system, only that it replaces the manual card-creation step for this one very common situation.

It’s worth being concrete about what “extraction” actually saves you, because the time cost of the manual path is easy to underestimate. A single paragraph of intermediate Chinese news writing might contain fifteen to twenty words worth studying if you’re past the beginner stage. At even a conservative thirty seconds per word to look up, transcribe pinyin, write a definition, and paste it into a new Anki note, that’s seven to ten minutes of pure data entry before you’ve reviewed anything. Multiply that by every article you’d like to read this way over a few months and the data-entry tax becomes the actual bottleneck — not motivation, not the SRS algorithm, just the friction of getting words from the page into a reviewable format. Removing that step is the whole value proposition.

I wrote a longer walkthrough of this exact extraction workflow in Turning a Chinese Article Into Flashcards with AI, and a closer head-to-head on card mechanics in Flashcard vs. Anki for Chinese, if you want the deeper dive instead of the summary version here.

Why does Anki feel harder to start than it should?

Anki itself — the review loop — is not complicated. You see a card, you rate how well you knew it, the algorithm schedules the next review. That part is fine for anyone. What actually stalls people is a step before any of that: deciding how to start in the first place.

Because Anki is this configurable, there’s no single obvious “correct” setup, and that ambiguity turns into research. New users open a forum thread to find the “right” note type for Chinese, then another to compare add-ons for audio or image occlusion, then a third to figure out which shared HSK deck is least buggy or most complete — and three evenings later they still haven’t reviewed a single card. None of those questions are unreasonable to ask eventually. They’re just the wrong thing to block your first session on, and Anki’s setup surface makes it easy to mistake research for progress.

This is also where Anki’s biggest strength shows up, and it’s the flip side of the same coin: because it’s this configurable, there’s a huge ecosystem of shared decks and add-ons other learners have already built, including large pre-made Chinese vocabulary decks. If you want to study someone else’s deck rather than build your own, that ecosystem is hard to beat, and no newer tool — Flashcard included — is trying to replicate it. The tradeoff is that the same openness which makes the ecosystem so rich is what generates the decision paralysis in the first place — there’s no single “just start” path, because there are dozens of reasonable starting points and no signal for which one is right for you specifically.

A tool with fewer knobs sidesteps that paralysis entirely, at the cost of not letting you tune anything once you do know what you want. Paste text, get cards, review — there’s no deck to evaluate and no add-on to research, because there’s nothing to configure in the first place. That’s a fair trade if the single workflow is the one you actually need; it’s the wrong trade if what you actually want is the deck ecosystem or deep customization Anki offers.

Are there free options?

Yes, on both ends of this comparison. Anki is free and open-source — no subscription, no paywall on the core app, across desktop and (with some platform variation) mobile. Flashcard is also free and runs entirely in the browser, with no install and no account wall to try it. Pleco’s core dictionary is free, with some of its more advanced add-ons (including its document reader) sold separately — Pleco’s bundling has shifted before, so check Pleco’s current pricing if the exact add-on lineup matters to your decision. (If Pleco’s dictionary depth specifically is what you’re weighing against a lighter daily tool, I go deeper on that tradeoff in ClassGame vs. Pleco.) Migaku doesn’t have an ongoing free tier, but it does offer a short free/money-back trial before the subscription charge kicks in.

If budget is the only constraint, you have two solid free paths depending on what you want to do: Anki if you’re studying pre-made decks or building a long-term archive, Flashcard if you’re extracting vocabulary from your own reading. Both let you actually use them before deciding they’re worth sticking with, which is more than I can say for tools that gate the core experience behind a trial.

Worth noting: “free” means different things across this list. Anki being open-source means the core review engine will keep working with no company able to shut it down or change the pricing later — that’s a durable kind of free. Flashcard being free right now is a product decision, not an architectural guarantee, and I’d rather say that plainly than let “free” imply more permanence than it has. Pleco splits the difference — the dictionary you rely on daily is free forever, but the reader and OCR add-ons that get you closer to an extraction workflow cost extra (Pleco has changed its add-on bundling before, so check its current pricing page rather than take this as gospel). If you’re choosing based on long-term cost certainty rather than what’s free today, Anki’s open-source model is the safest bet of the four.

An honest case for Anki

I said at the top this was disclosed bias, so here’s the other half of that: there are real reasons to pick Anki over Flashcard, and I’d rather say them than pretend they don’t exist.

Pick Anki if you want the largest shared-deck ecosystem in language learning — thousands of community-built decks, including comprehensive Chinese vocabulary sets other learners have already built and refined over years. Pick Anki if you want offline-first, desktop-first study with full control over sync, backups, and where your data lives, independent of any one company’s servers. And pick Anki if you want deep customization — custom note types, add-ons for image occlusion or specific input methods, scheduling algorithms you can tune by hand. None of that is what Flashcard is trying to be.

What Flashcard is trying to be is the fastest path from “I’m reading Chinese text right now” to “that text’s vocabulary is in a review queue.” If that’s your actual daily bottleneck, it’s worth trying. If your bottleneck is finding a good pre-built deck or you want one app for every language you’ll ever study, Anki remains the better call, and I’d tell you that even though I built the other option.

You can try Flashcard free at flashcard.fulinlabs.com, or read more about it on its project hub page. If Anki and Flashcard aren’t the only two tools you’re weighing, my wider roundup of apps for learning vocabulary from Chinese native content covers dictionary, immersion, and lesson-based options side by side.