Recognition and production are different skills and they need different tools. Here is the difference, including where Mening is the wrong choice.
Written by the team behind Mening, so treat the last sections as interested. Everything about the other app here is limited to what anyone can see by using it.
It removes friction. The lesson is already chosen, the exercise loads in a second, and nothing in the interface asks you to make a decision before you start learning. For a beginner that's worth more than any clever pedagogy: the hardest part of learning a language is showing up, and a product built around showing up solves the problem most learners actually have.
It's also free at a scale nobody else matches, covers a long list of languages, and gives you a clean on-ramp to a new script and a first vocabulary. If you're at zero, that on-ramp is real and this page isn't trying to talk you out of it.
Picking the right word from a row of options is recognition. Producing it with a blank page in front of you is retrieval, and the gap between the two is months wide. It also feels identical from the inside, because the word looks obvious the moment you see it, so your sense of knowing it runs far ahead of your ability to use it. That's how a learner with a long streak freezes in a first conversation and concludes they're bad at languages. They're not. They drilled the easy direction.
Sentences work the same way. When the app supplies the words and you arrange them, the structure was never yours to get wrong. Compose from nothing and you have to pick a tense, commit to a gender, choose a preposition, decide word order: every one of them a place where your own gaps show up instead of staying hidden behind the exercise.
You stop drilling exercises and start using the language. Your sentences are about your day, so they pull in the words you actually need rather than the ones a curriculum ordered. And because nothing constrains you, the mistakes are yours: the ones your head keeps producing, not the ones a lesson was built to elicit.
That last part is where most writing practice falls apart. A correction you read once changes almost nothing. It makes sense in the moment, you nod, you move on, and two weeks later the same error is back with nothing connecting it to the last time. Correction lands when it arrives attached to a history, when you can see that this is the fourth time and that it's a pattern rather than a slip.
One prompt a day, in the language you're learning. You answer with at least one sentence. It gets corrected in your own language, and every mistake is filed as a recurring error pattern, so the app can tell you which errors you keep repeating, aim later prompts at them, and mark a pattern beaten only once it has stopped coming back. It runs in Telegram and in the browser, free every day, with a paid tier for the error analytics, full history and targeted practice.
Both apps can review what you got wrong. What differs is where "wrong" is measured: inside a set of exercises, or inside sentences you wrote yourself. The second is a much smaller dataset and a far more personal one, which is exactly why it's worth keeping.
No speaking or listening practice. No lesson tree, no course to complete, no leagues or leaderboards. It won't teach you a script from zero, and it's a poor first tool for a language you haven't started. It does one thing: you produce, it corrects, it remembers.
At zero in a new language, take the on-ramp, any on-ramp, and get to the point where you can put a sentence together badly. If you've been at it a while, understand far more than you can say, and keep making the same handful of mistakes without ever seeing them listed, then a recognition app isn't your bottleneck any more. Production is, and production needs correction with a memory attached.
Nothing stops you doing both. A tree in the morning and one written sentence at night is a better week than either alone.
Mening sends you one prompt a day in the language you\'re learning, corrects what you write, and keeps count of which mistake keeps coming back.
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