Vocabulary Per Day Target Calculator
Want to learn a fixed-size vocabulary by a particular date — say 800 JLPT N5 words in six months — and need to know how aggressive that schedule actually is? This tool returns the daily *new* card count to make the target, plus the long-run "new + review" load and estimated minutes-per-day using the standard Anki / spaced-repetition steady-state model. Presets for JLPT N5 / N3, TOEIC and GRE let you sanity-check common goals in one click. Tweak the study-days-per-week (5 if you only study weekdays) and the per-card review multiplier (8–10 for hard new languages, 5–6 for closely related ones) to model your situation.
Common targets
Enter a target larger than what you already know, 1–7 study days per week, and a future target date.
New words per day
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Daily reviews
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Total cards per day
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Formula
new/day = ⌈(target − known) ÷ study days⌉ reviews/day ≈ new/day × {mult} (long-run SRS load) minutes/day ≈ new × 30 s + reviews × 8 s
Based on the Anki / spaced-repetition long-run model: each new card carries about 8 reviews before it sticks long-term. Real numbers vary — a hard new language can run higher; a closely related language lower. Start conservative and only ramp up once you have hit your daily target for 7 days running; the typical failure mode is taking on too many new cards then accumulating a 1,000-card review backlog three days in.
Formula
new/day = ⌈(target − known) ÷ study days⌉ reviews/day ≈ new/day × m (SRS steady-state, default m = 8) minutes/day ≈ new × 30 s + reviews × 8 s
- · The "SRS multiplier m ≈ 8" reflects that in Anki / SuperMemo a card is typically reviewed about 8 times over the expanding-interval schedule (1 → 3 → 7 → 14 → 30 → 90 → 180 days…) before settling into long-term memory. Hard new languages (Japanese, Chinese, Arabic — unfamiliar roots) tend to land at 10; closely related languages you already feel can go as low as 5.
- · The 30 s per new card / 8 s per review estimate is the average Anki user input + grade pace. Real numbers vary: image-heavy cards are slower; simple cloze translations are faster. Use the tool to sanity-check the schedule, then recalibrate after week 1 with your real per-card time.
- · Start a bit lower than the tool says and ramp up only after 7–14 consecutive successful days. The classic Anki failure mode is "30 new cards × 3 days → 200-card review backlog by day 7 → quit."
- · New-words-per-day is ceiled, so you finish 1–3 days early in practice. To smooth out, push the target date back by one day before reading the schedule.
- · There is no model of partial mastery — "already-known" words are assumed not to need SRS. If you only vaguely recognise them, it is safer to treat them as unknown when filling in the count.
- · This is purely a time budget. It does not guarantee the goal is achievable for you — motivation, context immersion and active output practice all sit outside the scope of this calculator.
Frequently asked
How long does 10 new words per day actually take?
First week: about 5 minutes (10 new cards × 30 s + the first review pass). A month in, you reach steady state at about 10 new + ~80 reviews per day — roughly 15–25 minutes total. Hard languages from scratch (Japanese, Chinese, Arabic) skew toward 20–30 min/day; closely related languages (Spanish, French) tend to be 10–15. If you regularly cross 30 minutes and feel grindy, cut the new-card count by 30 % and revisit after two weeks.
I already studied 200 words — should I count them as "already known"?
It depends on your level of mastery. If you can recall the meaning of ~80 % of those 200 words within ~5 seconds, count them as 200. If you only "kind of recognise" them, a conservative 50–100 is safer. Better to under-count and have a comfortable daily target than to over-count and discover three weeks in that the workload is unrealistic.
My goal is conversation, not flashcards — does this still apply?
Partially. The "new words to introduce per day" target translates well — e.g. "10 new words per day" is a meaningful pace whether you study them via flashcards or in context. But a pure immersion / output-first approach doesn't use the 8× active SRS review ratio; dial the multiplier down to 3–5 to reflect that most "review" happens passively when you re-encounter the word in reading or podcasts.
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