The Best Anki Decks for Japanese (2026): Kaishi, Core, Tango, and the Rest

Search for the best Anki decks for Japanese and you will find two kinds of pages: ancient listicles whose links have rotted, and forum threads where the answer changed three years ago and nobody edited the top comment. The landscape actually shifted — the deck everyone recommends today is not the one the old articles recommend. Usual disclosure up front: I build Piccard, a flashcard tool that overlaps with a slice of Anki's job, so I follow this ecosystem the way a chef reads other menus. This is the current map, four entries and an honest fifth, with who each one is for.

1. Kaishi 1.5k — the current default answer

A free community deck of roughly 1,500 words, frequency-ordered, every card carrying an example sentence. When someone on r/LearnJapanese asks "which deck do I start with," this is the answer that now wins the thread — it was built by the immersion-learning community as a modern replacement for the Core decks below, and it won on merit.

Fit: starting from near-zero vocabulary, any goal. Know before you commit: it is the same 1,500 words for everyone — it cannot know which third you already know from anime, games, or a semester of class. We unpacked that gap, and where the deck's job ends, in the full Kaishi 1.5k write-up.

2. Core 2k/6k — the legacy standard

The deck family that held the default-answer title before Kaishi. Its lineage goes back to the vocabulary courses of the iKnow!/Smart.fm platform, which is why the cards feel "course-native": ordered by frequency in steps, audio attached, ~2,000 or ~6,000 words depending on the cut. It spread for years as community rips, which is its weakness — deck quality varies by which rip you downloaded, and audio files have a way of being missing.

Fit: you want a bigger first payload than 1,500 words, or the deck you already have half-finished is a Core deck and switching costs more than it buys. Know before you commit: check the rip's file integrity before investing a month, and treat any listicle from before ~2023 that crowns it as primary evidence of the deck's era, not its current standing.

3. The Tango decks — JLPT scaffolding in deck form

Built from the *Tango* JLPT vocabulary book series, these decks mirror the books: lesson-numbered chapters, a sentence with its translation per entry, N5 working upward. Of the shared-deck families this is the most "course-shaped" — it paces like a class, which is precisely what some learners want and precisely what others abandon by week three.

Fit: you are sitting the JLPT on a schedule and want your vocab ladder to match the exam's level ladder. Know before you commit: you are adopting someone's chapter order as your priority order; the lower levels are well-maintained in the wild and the upper levels thin out.

4. Fandom decks — the deep cuts

Fan-made decks for specific anime, games, and dramas. The appeal is real — the vocabulary of a show you love, pre-sorted — and so is the spread: these range from careful labors of love to machine-translated debris. A domain this narrow is a feature and a limit at once: great for making material you love readable, useless as a foundation.

Fit: you already have a foundation and want to read/watch one specific thing with less friction. Know before you commit: spot-check ten random cards against a dictionary before trusting card two hundred.

5. The deck nobody can ship you

Every deck above is the same file for everyone who downloads it. The deck that would help you most — words *you* don't know yet, from the material *you* are actually consuming — cannot be shared, because nobody has it. It has to be captured. This is the slice I built Piccard for, so here is what it does, described as it ships.

While watching. On captioned YouTube, click a subtitle line and candidate cards come back: the word, its English meaning, an example sentence from that line. The clicked line only; videos without captions fail honestly rather than guessing. A double-click on any Japanese word on any web page opens the popup dictionary, which runs on JMdict data.

From documents. Upload a PDF — transcript, article, textbook chapter — and candidates come back ranked 0–100; one confirm turns at most 20 into cards, a cap that is a named constant in our code (each card costs the model roughly 300–350 output tokens) rather than a growth mechanic.

In review. FSRS-6 with zero configuration, 0.9 target retention, no settings page to get wrong, and cards saved from video replay the exact YouTube moment they came from. Uploading audio or video files for transcription is English-audio-only, so for Japanese listening material the caption route is the route.

Scheduling across all of these is a solved problem — modern Anki ships the FSRS family, and that engine argument ended years ago (the forgetting curve, spaced repetition); where the complexity of Anki actually lives is elsewhere. The deck question is a content question: whose word list, in whose order, with whose sentences.

Which one, quickly

SituationMove
Starting from zeroKaishi 1.5k, and let review run
Prior exposure (anime/games/classes)Kaishi + suspend ruthlessly, or capture from material directly
JLPT on a scheduleTango level matching your target, deck over book
Half-finished Core deck in handFinish it; switching costs more than it buys
Past the first ~2,000 wordsCapture from what you watch and read; no shared deck covers you now

The free tier of Piccard is 150 energy (about 150 cards), then prepaid top-ups at $5 / $10 / $20; no subscription, and topped-up energy never expires. To try the click-a-line version: Piccard on the Chrome Web Store.

All guides: Piccard Blog.

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