Language Lit vs Readlang

This is the heart of it. In Readlang you tap a word and a fast machine translation drops in, inline, in your language. It is quick, it is free, and for looking up single words it does the job well.

Language Lit does something different by default. You tap a word or a whole phrase and get a translation written for that exact sentence, every time, with no daily cap. An idiom comes back as what it actually means, not a literal string of words. A word that could mean three things comes back as the one this sentence needs, so you are not reading down a list of definitions trying to guess which one fits.

Readlang has added AI explanations too, and they are good, but they sit off to the side. On its free plan the phrase translations and AI explanations are capped at ten a day, so the context-aware reading is the part you have to ration. Here the sentence-aware translation is the everyday tap, not the feature you save for the hard lines.

When you want to go deeper it is the same tap: alternative translations, a breakdown of the grammar and why the sentence works the way it does, example sentences that use the word elsewhere, and a visual mnemonic the AI draws on the spot to help it stick.

Both apps turn the words you tap into flashcards and space out the reviews. The difference is what decides the timing. Readlang schedules reviews in the SuperMemo tradition: a word climbs a fixed ladder as you get it right, a day, then three days, a week, two weeks, a month, and that ladder is the same for every word.

Language Lit works it out per word. A machine-learning model watches how your reviews go and predicts, word by word, how likely you are to recall each one right now. When you sit down to practice you get the words you have genuinely started to forget, caught right before they slip, and none of the ones you already know cold. For the spaced-repetition crowd: this is real FSRS, the current state of the art, with the review logs to back it up.

It shows up while you read, too. Your saved words are highlighted on the page by that same prediction. A word lights up when you are about to lose it, and the highlight fades as your memory of it gets stronger, until it is gone. You are not coloring words by a status you set. You are watching your real recall on the page.

Both let you bring your own text. Readlang leans on its browser extension, and it is genuinely handy: you can click-translate your way through almost any website in the wild, and if reading the open web is what you want, that extension alone is a fair reason to use it.

Language Lit is more a place to read than a layer over other sites. You can paste a YouTube video and read along with the audio, drop in a news article, an EPUB, a PDF (even a scanned one, it runs OCR), or a web page. You are also not starting from an empty shelf: you can read lessons other learners have made public and publish your own, and there is a free library of more than 40,000 classic books from Project Gutenberg, in every language the app supports.

Readlang keeps itself deliberately thin. It sits over the text and gets out of the way, and if a lean reader is the whole thing you want, that restraint is a feature, not a gap.

Language Lit is built more like a place to read than a layer on top of one. A lesson can be read aloud in a voice that actually sounds human, not the flat text-to-speech you stop hearing after a minute. It can carry as many images as you want, or you can have the AI generate a whole illustrated lesson, so a story is something you can picture instead of a block of grey text.

None of that makes Readlang worse at the job it set out to do. It just does less, on purpose. Which one you want depends on whether you are after a quick lens on text or a room to sit and read in.

Readlang translates into your language, but you navigate the app itself in English. That is fine if English is second nature to you, and a quiet tax if it is not.

In Language Lit the whole app is translated into all 33 of its languages, and every contextual translation comes back in the language you actually speak. So if your first language is not English you read, learn and review inside your own language, instead of routing the app through English the way most reading tools quietly expect.

The menus, the grammar notes, the explanations and the translations all land somewhere you already think. For people who are not native English speakers, that is often the whole reason a tool sticks.