Reading and SRS, finally the same app

Tap a word in one story.Meet it again in the next, on the day you’d forget it.

Real FSRS lives inside the reader. One tap builds the card out of the sentence you found it in, so there is no field to fill and no permanent yellow left behind. It comes back only when your odds of recall hit 90 percent.

Free forever · No credit card · First story: 3 words, then a 30-second review

Tap the brightest word

ころ

Try the language you're learning

What is Language Lit?

Language Lit is a reader for the language you’re learning, with a spaced-repetition system built into the page instead of bolted onto it. You read, tap any word for its meaning in that exact sentence, and save it in one tap. Real FSRS takes it from there and brings it back inside whatever you read next, on the day your recall has slipped.

Method
Extensive reading, contextual AI meanings, and real FSRS scheduling in one loop
Languages
33, with real segmentation for Japanese and Chinese rather than tokenizer hacks
Platform
Web app. Nothing to install
Price
Free forever for the whole loop. Paid adds your own content and heavier AI

Meanings, not definitions

Tap a word or a whole phrase. The meaning is written for that exact sentence, not pulled from a dictionary entry or someone else’s saved definition.

No fields to fill

Word, meaning, and source sentence become a scheduled card the moment you save. You never type a field.

Your reading is the review

Due words light up in the next thing you read and come back fainter as they get stronger. The page is the progress bar.

The two-app problem

Your reader and your deck have never met.

You’ve done the math. Two hours with a show, and ninety of those minutes went to making cards. Finding the audio. Cropping the screenshot. Pasting the sentence into the right field.

Your setup works. That’s the trap. The pipeline produces cards, so you keep feeding it. And the feeding quietly eats the reading it was supposed to serve.

And the two halves still never talk. Your deck doesn’t know you just met that word in chapter three. Your book doesn’t know it comes due tomorrow. So you review in one app, read in the other, and carry the whole system in your head.

Tonight, with the stack

  • Pause the episode
  • Copy the sentence
  • Switch apps, paste, fix the formatting
  • Hunt down the audio
  • Try to find your place again

Language Lit closes the loop. Tap, saved, scheduled, met again in the next thing you read. Nothing to maintain, because there’s nothing left between the reading and the memory.

Why this sticks

Read. Tap. Save. Meet it again.

Sentence mining with the loop closed. The first three moves take seconds. The fourth is the one no stack can do, because it needs the reader and the scheduler to be the same program.

04

Meet it again

Real FSRS schedules each word from your review history. When one comes due, it lights up in whatever you’re reading. Fainter at each stage of memory: new, learning, growing, strong.

What power users notice

Saved words stay invisible in your reading until they’re due, so a highlight always means exactly one thing: your memory needs this word today. Nothing here is a status you assign or a color that sits on the page reminding you of work you already did. That’s also why progress feels physical. The text gets visibly cleaner as your memory gets stronger.

You don’t track your progress. You watch it happen on the page.

Why I built this

I didn’t need another app. I needed my reading and my reviews to be the same thing.

I moved to Tokyo excited to finally learn Japanese properly. I kept the streak for months. Then I turned on a normal show and caught maybe one word in ten.

So I did what serious learners do: real content, plus a stack to hold it up. A reader here, a dictionary there, flashcards on the side. It worked, and I hated it. I was spending more time feeding the system than reading, and every tool had a piece of the shape the research points at. None of them had the loop.

So I built the loop, and I use it every day. It’s the tool I wanted when I arrived in Tokyo, and I think it might be yours too.

Rom, Founder, Language Lit

Rom

Founder, Language Lit

Proof, not praise

For people who check the algorithm.

Language Lit is built for one specific person: the self-directed learner. You read with a dictionary within reach. You take spaced repetition seriously. And you’re done being the pipeline between the two. If that’s you, the mechanics are the sales pitch.

Due-only sessions

Practice shows the words FSRS says are due, and nothing else. When you’re done, it says so. It never invents reviews to stretch a session.

Nothing to game

Both answers earn the same, so there’s no reason to flatter the scheduler. Your review history stays honest, and so does your schedule.

Progress is memory state

Highlight strength and Garden stages come from FSRS stability and retrievability, not from time spent in the app.

No pretend precision

Difficulty labels appear only where the text can be graded confidently. Where it can’t, the label stays blank instead of guessing.

The research this runs on

Sources last verified 2026-07-10

None of the method is our invention. Each finding below links to its source, so you can check the numbers instead of taking our word for them.

47.3% vs 36.7%

Across 254 studies and 14,811 participants, spaced practice beat massed practice 47.3% to 36.7% on recall. That gap is why a saved word waits, then returns on the day your memory actually needs it, instead of drilling while it is still fresh.

Cepeda et al. 2006, Psychological Bulletin, 132(3)Kang 2016, Policy Insights from the Behavioral and Brain Sciences, 3(1)

99.6%

In the open srs-benchmark, 10,000 Anki users and roughly 350 million real reviews, FSRS predicted recall more accurately than SM-2 for 99.6% of users. The same FSRS runs here, on your real review history, not a simplified imitation of it.

Open SRS benchmark, GitHub, open-spaced-repetitionYe, Su & Cao 2022 (KDD), Proceedings of the 28th ACM SIGKDD Conference (KDD ’22)

d = 0.46

A meta-analysis of 34 extensive-reading studies, 3,942 learners, found reliable proficiency gains from reading real text: d = 0.46, rising to 0.71 in pre-post designs. Reading is the input engine of the whole loop, which is why the reader is the product.

Nakanishi 2015, TESOL Quarterly, 49(1)Jeon & Day 2016, Reading in a Foreign Language, 28(2)Krashen 2004, Libraries Unlimited

98%

Comfortable unassisted reading takes about 98% word coverage, roughly 8,000 to 9,000 word families. Tap lookups exist to close exactly that gap: they carry you through real text years before your vocabulary could carry you there alone.

Hu & Nation 2000, Reading in a Foreign Language, 13(1)Nation 2006, The Canadian Modern Language Review, 63(1)

Shadowing

Following a text while hearing it improves listening comprehension and phoneme perception, with the largest gains for lower-proficiency learners. It is why every lesson has sentence-by-sentence audio you can slow to 0.5x and replay one paragraph at a time.

Hamada 2016, Language Teaching Research, 20(1)Kadota 2019, Routledge

Where we lose people

  • You want something that listens to you. Nothing here does. No pronunciation score, no conversation partner, no speaking feedback of any kind.
  • You love tuning card templates, add-ons, and scheduler settings. There’s nothing to tune here: cards are built one way, and FSRS runs on default weights, 0.9 retention, and fuzz on so reviews never pile into one brutal day. That’s the entire configuration, and you can’t change it. What you get back is nothing that breaks on update day.
  • You’re at absolute zero in the language. Input-based reading needs a base to stand on, so you’ll get far more out of this once you have your first few hundred words.

Still here? Then this was probably built for you.

What you can read

Start in the library. Bring your own later.

The loop runs on anything you can read. Free covers the library and whatever you paste in. Paid exists to point the same loop at your own sources.

Reading, lookups, and reviews cost little to serve, so they’re free. Importing and generation burn real compute, so that’s the line.

  • 40,000+ Project Gutenberg classicsFree
  • Curated news, videos, and public lessonsFree
  • Any text you paste inFree
  • YouTube videos as synced, tappable transcriptsPro
  • EPUB books and PDFs, including scanned pagesPro
  • News and web articlesPro
  • Subtitle files (SRT)Pro
  • AI-generated lessons on any topicPro

What it replaces

You were already running all of this.

Not a feature list. This is the list of jobs your habit already requires, and who does each one tonight.

A reader that remembers a word across every text

Your setup tonight: A separate subscription, or an install you maintain yourself

Here: Free, in all 33 languages

The meaning of a word in the sentence actually in front of you

Your setup tonight: A dictionary tab, plus your own call about which sense applies

Here: Free and unlimited, on every tier

Cards built out of what you read

Your setup tonight: Ninety minutes for every two hours of input

Here: One tap. You never type a field

A scheduler worth trusting with three years of review history

Your setup tonight: Free software, plus the add-ons, syncs, and templates you keep fixing

Here: Real FSRS, review logs kept, nothing to configure

Audio slow enough to shadow

Your setup tonight: A separate text-to-speech tool, or nothing

Here: Sentence by sentence at 0.5x, free

Progress you’d actually believe

Your setup tonight: A streak counter

Here: Stability and retrievability, drawn on the text itself

Every row lands on the free tier. Paid buys one thing that isn’t on this list: pointing all of it at your own books, videos, and files.

What you’re risking

Nothing, and here’s the mechanism.

No countdown

Free forever isn’t a fourteen-day trial with a nicer name. Nothing expires, there’s no card to enter, and no decision you have to reach before a timer runs out. Take a month with it if you want a month.

Your words outlive your plan

Cancel or downgrade and every saved word, every FSRS schedule, and every review log stays exactly where it is. A downgrade deletes nothing. Past 200 words new saves stop, and everything you already built keeps running.

Memory is never the paywall

Reading, lookups, reviews, and the Garden are free on every tier and stay that way. What you pay for is ingestion and generation, the parts with a real compute bill. Your own vocabulary never goes behind a card.

Pricing

The loop is free. Your content is the upgrade.

Free is the complete method, not a teaser: unlimited reading and contextual lookups, real FSRS review, the Garden, read-along audio, all 33 languages, and room for 200 saved words.

Free

$0.00

The complete reading and memory loop, forever.

Unlimited reading and tap-to-translate
Full FSRS reviews and the vocabulary Garden
Sentence-by-sentence read-along audio, slowable for shadowing
All 33 languages on one account
Up to 200 saved words, 5 new Gutenberg books and 5 pasted lessons a day

No card required

Premium

Save 28%
$10.83/mo

Sharper AI and better audio for daily study.

Everything in Pro
Smarter AI for word analysis
100 AI images a month, shared between word images and lesson covers
The full paid narrator cast
The highest import, generation, and audio limits

$129.99 billed yearly

Choose monthly or annual billing at signup. Change or cancel a paid plan anytime from account settings.

Straight answers

Is it actually FSRS, or "FSRS-inspired"?

Actual FSRS, scheduled from your real review history. Two answer buttons, Again and Good, because the middle buttons mostly add noise. Reviews appear only when due.

I have a serious Anki setup. Why switch?

Maybe don’t switch. Keep the deck you’ve built. Language Lit replaces the pipeline in front of it: lookup, card, and schedule happen in one tap while you read. Those words run on their own FSRS schedule here. Your old deck can keep doing its job.

How is this different from LingQ?

The short version: meanings are written for the exact sentence, not picked from community definitions. The scheduling is real FSRS, not an add-on. Due words come back inside your reading, not in a separate pile. The long version, feature by feature:

Read the full LingQ comparison

What is actually free forever?

Unlimited reading and tap lookups, full FSRS practice and the Garden, sentence-by-sentence audio, the 40,000-book library and public content, and 200 saved words. No card required. Paid adds importing and heavier AI.

Is my language supported?

The reader, lookups, FSRS, audio, and interface work in 33 languages. Japanese and Chinese use real segmentation, not tokenizer hacks. Automatic difficulty labels currently cover English, Spanish, Japanese, Korean, and Chinese.

Does it help with speaking?

Nothing here listens to you, so there is no pronunciation score and no conversation partner. What you do get is good shadowing material: every lesson has sentence-by-sentence audio in the narrator voice you pick, you can drop it to 0.5x, and you can replay a single paragraph until your mouth catches up. Plenty of people build output that way and get correction from a tutor. We’d rather draw that line here than after you sign up.

Save one word today. Meet it again this week.

Your first story is guided: three words, then a thirty-second review. That’s the whole loop, done, in one sitting. When one of those words comes back to find you in something new, you’ll know whether this is your tool. The cards were never the point. The book you actually want to read is.

Free forever · No credit card · 33 languages