Automates Anki language-learning chores: reordering cards by a field, converting a field into tags using optional rules, and backfilling word frequencies.
Alternatives to AutoReorder
AnkiWeb addon 757527607
AI answer
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Similar addons (found without AI)
Sorts new cards using Yomitan frequency dictionaries, with toggleable dictionaries, multiple averaging methods, optional backfilling, review-time frequency display, startup sorting, and occurrence-based filtering.
Removes HTML non-breaking spaces from Anki notes, replacing them with normal spaces automatically on newly added notes and optionally collection-wide via menu, shortcut, or startup purge.
Automatically suspends mature cards on profile startup using per-deck interval thresholds, skipping already-suspended cards and tagging affected notes with a configurable retired tag.
Lets Anki 2.1.45+ users set new note IDs and reorder notes by creation time, recalculating moved notesβ IDs instead of swapping, with Advanced Browser support.
Searches multiple image providers using note fields or selected text and inserts chosen images into a configured field, with browsing, per-note-type settings, and smart replacement.
Fetches recorded Korean dictionary pronunciations into chosen Anki fields, with configurable note-type mappings, optional ElevenLabs text-to-speech, and Naver, KRDICT, and Forvo sources.
Exports all notes carrying a chosen tag, stripping other tags, so users can share tags with others who import them.
Copies Wiktionary entries for a chosen language via a toolbar 'W' button, with configurable source and destination languages and a matching card field.
Moves selected notes up or down and duplicates them beneath the originals in Anki's browser when the deck is sorted by Created, using keyboard shortcuts or menus.
Converts Anki notes between types without triggering a full sync, offering field mapping, presets, review-history preservation, deck/tag retention, browser and reviewer conversion, and one-step undo.
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.