If you’ve been learning Mandarin for more than a few weeks, chances are you’ve already got Anki installed. It’s the default recommendation in almost every language-learning community, and for good reason: spaced repetition works, and Anki is the most flexible, battle-tested spaced repetition system out there. But if you’re reading this, there’s also a decent chance you’re looking for an Anki alternative, because you’ve noticed the same thing a lot of learners eventually do: Anki gets language into your head, but it doesn’t teach you to speak Mandarin.
I used Anki for years, and I still think it’s a genuinely excellent tool. But over years of teaching Mandarin learners, I’ve seen the same pattern come up again and again: students who can recognise thousands of words and chunks instantly on a flashcard, and still freeze up mid-conversation trying to produce a sentence they “knew.” Recognition and production are different skills, and Anki, by design, is built almost entirely around the first one.
That gap is exactly why I built Chunking Chinese Fluency Trainer. Not to replace everything Anki does well, but to fix the part it was never designed to do: turn chunks you’ve memorised into sentences you can actually say, on demand, under pressure.
Here’s an honest breakdown of the two, and why I think most serious Mandarin learners will eventually outgrow Anki alone.
What Anki Is Actually Built For
Anki is a general-purpose spaced repetition engine. You feed it cards, it schedules your reviews, and it’s ruthlessly effective at getting information into long-term memory. That’s an enormous strength, and there’s no shame in using it.
But look at what actually happens on a typical Anki review:
- You see a card (often a word, a chunk, or a cloze deletion with a blank).
- You try to recall the answer.
- You flip the card and grade yourself: again, hard, good, easy.
That’s recognition-and-recall in a vacuum. There’s no sentence construction, no feedback on whether the sentence you’d actually produce is grammatically correct or natural, and no sense of how a chunk combines with other chunks you already know. Anki doesn’t know what a chunk is in the linguistic sense; a card is just a card to it, whether it’s a single character, a whole idiom, or an entire sentence.
That’s not a criticism of Anki as software. It’s simply not what spaced repetition, on its own, was ever designed to solve. You can bend Anki into rough approximations of production practice (English-to-Mandarin cards, cloze deletions, sentence mining decks), and I did that for years. It helps. But you’re the one doing all of the design work: deciding what counts as a chunk, tracking which chunks you’ve actually internalised versus just recognise, and manually engineering new contexts so you’re not staring at the same three example sentences every single review.
What the Fluency Trainer Does Differently
Chunking Chinese Fluency Trainer starts from a different question: not “how do I remember this piece of language,” but “how do I get to the point where I can produce a sentence with it, from scratch, when someone’s actually talking to me.”
That reframing changes everything about how the tool works underneath:
It knows what a chunk is, and what job it does. Every chunk in the database has a role, like an opener, a question, an opinion, or a way of describing an action. I’ve written and organised every chunk and example sentence myself, and had them checked by native speakers, so the way chunks are grouped and combined reflects how they’re actually used in real Mandarin, the same way you’d instinctively combine them in a real sentence, instead of treating every card as one more disconnected fact to memorise.
It generates exercises, not just reviews. Instead of showing you the same static card over and over, the Fluency Trainer produces new sentence-construction prompts that force you to recombine chunks you already know in contexts you haven’t seen before. That’s the actual skill: not recognising 对我来说 in isolation, but reaching for it, unprompted, to build a sentence about your own life.
It grades your output and tells you what’s wrong. When you construct a sentence, you get feedback on it, specifically. Not a binary right/wrong, but a sense of what’s off and why. Anki has no concept of this at all; it can’t, because it doesn’t know what you typed, only whether you clicked “good” or “again” on yourself.
It tracks mastery, not just review intervals. Anki’s scheduling is about when you’re statistically likely to forget a card. The Fluency Trainer tracks something closer to whether you can actually produce a chunk correctly and flexibly, and it specifically resurfaces the chunks you’re weak on, rather than drilling everything with equal weight regardless of how well you’ve actually got it.
New chunks are introduced in a controlled sequence. One of the quiet failure modes of a self-built Anki deck is testing yourself on a chunk before you’ve properly learnt it, or in combinations that don’t make sense yet. The Fluency Trainer enforces the order: you’re introduced to a chunk before you’re tested on recombining it, so every exercise is actually achievable rather than a guessing game.
It has a Speak Mode, so you’re actually speaking, not just typing or clicking. You can speak your sentence directly into the app instead of typing it out, which is a much closer match for what you’ll actually need to do in a real conversation. Anki has no equivalent to this at all; every review there happens silently, in your head or on a keyboard, which is a big part of why typing or recognising a chunk on a flashcard doesn’t automatically mean you can say it out loud when it counts.
It shows you the network, not just a pile of separate cards. Chunks stick when they’re connected to other chunks and other sentences, not when they’re sitting on their own in a deck. The Fluency Trainer visualises how everything you’re learning links together, so you can actually see a new chunk join up with the ones you already know, rather than trying to keep that web of connections in your head. Anki has no way to show you this at all; every card lives in its own isolated slot, with no sense of how it relates to anything else you’ve learnt.
None of this is about Anki being a bad tool. In fact, it’s very good at what it does, and I personally used and recommended it for years. It’s about the fact that sentence construction, a chunk-based speaking curriculum, chunk recombination practice, and targeted mastery tracking are a different kind of system entirely, and building that system by hand on top of a general flashcard tool is a lot of ongoing manual work. Work I did for years before I decided to just build the tool I actually wanted.
Where Anki Still Wins
I want to be straight with you here, because I still think Anki has a real place, even for someone using the Fluency Trainer.
Anki is unbeatable for raw, high-volume vocabulary acquisition: characters, or anything where recognition genuinely is the goal (like reading comprehension, where you need instant recall of thousands of items). It’s also infinitely customisable if you’re the kind of learner who enjoys building your own system, it’s free and open source, and its ecosystem of shared decks and add-ons is enormous.
If your goal were purely “read as much Mandarin as possible, as fast as possible,” Anki alone might be enough. But that’s not most people’s actual goal. Most people learning Mandarin want to speak it, in real conversations, under the kind of mild pressure that a flashcard never replicates.
The Real Answer: They’re Not Really Competing for the Same Job
The honest version of this comparison is that Anki and the Fluency Trainer are optimised for different outputs. Anki optimises for retention of discrete facts. The Fluency Trainer optimises for the ability to produce natural, correct Mandarin sentences on demand, which is a fundamentally harder and more specific problem, and one that recognition-based review was never going to solve on its own no matter how well-scheduled your reviews are.
That’s why I built the chunk database, the pattern-based exercise generation, the sentence grading, and the weak-chunk targeting directly into one system, instead of trying to hack sentence production on top of a tool built for something else. If your bottleneck right now is remembering that a word exists, Anki will serve you well. If your bottleneck is opening your mouth in a real conversation and finding that the words won’t come out in the right order, that’s the exact gap Chunking Chinese Fluency Trainer was built to close.
I still think spaced repetition, in some form, belongs in every serious learner’s routine. But repetition alone was never going to be enough to get me speaking, and I don’t think it’s enough for you either. If you’ve been searching for an Anki alternative that’s actually built to get you speaking Mandarin, not just remembering it, the Fluency Trainer is live and ready to use today.
Spaces in each new batch are limited, so if you want hands-on support as you make the switch from recognising Mandarin to actually speaking it, join the waiting list here:
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