Shuffles words in marked plain text on cloze cards and lets you restore their order by dragging and dropping or clicking the next word.
Alternatives to Card Scheduling Priority (customize intervals)
AnkiWeb addon 580930132
AI answer
Answers are generated by Claude from the catalog data and may contain mistakes.
Similar addons (found without AI)
Converts content wrapped in <amd> tags from Markdown to HTML during review, in the editor, or in batch, with optional preview and shortcuts.
Replaces cloze deletions with input fields on review, supporting multiple blanks, with instant color feedback, next-character hints, and customizable field styling.
Adds up to seven color-coded answer buttons with new intervals and shortcuts, plus a z undo shortcut, customizable names and colors.
Reduces next interval growth for very mature cards to slightly improve retention, though it is unmaintained and incompatible with recent Anki versions.
Migrates settings from Straight Reward to Ease Reward for the Anki SRS Kai scheduler, enabling mobile reviews without syncing on a PC.
Combines PDFs, EPUBs, videos, web pages, and notes with normal flashcards in incremental study sessions, letting you highlight, extract new cards, prioritize, and resume where you left off.
Adds customizable reviewer buttons that reschedule cards using math expressions, multipliers, random ranges, midpoints, and target dates, with per-card visibility conditions, dynamic sorting, shortcuts, and optional native button takeover.
Brings experimental SM-2, SM-15, SM-19, SM-20, and FSRS v6 schedulers plus a weighted ensemble mode to Anki Desktop, with settings, prediction inspection, and optional optimization.
Reschedules Anki cards using FSRS review histories, postpones or advances selected cards, balances daily workload, schedules breaks, disperses sibling cards, flattens backlogs, and reports memory and learning-step statistics.
Lets you override the Easy answer button's next review interval with any custom value in days, defaulting to the standard interval.
Reorders new cards into priority and normal queues using custom searches based on frequency, occurrences, kanji knowledge, and recency, sorting each queue by a chosen field.