Automatically syncs your collection with AnkiWeb at configurable intervals while Anki is idle, pausing during reviews, open dialogs, or when the main window is focused.
Alternatives to Background Auto Sync
AnkiWeb addon 226796325
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Similar addons (found without AI)
Automatically syncs your Anki collection to AnkiWeb after a period of inactivity, with an adjustable idle time, though it may sync during editing and cause lost work.
Minimizes Anki to the Windows 11 system tray, auto-syncs on hide, shows due-card notifications, and optionally starts minimized with Windows.
Displays live Anki study activity, including deck names, remaining counts, and card content, on Discord Rich Presence, with idle detection, a resumable timer, Spotify support, and a privacy mode.
Breaks large daily review workloads into smaller blocks with timed healthy breaks, FSRS-based session recommendations, a movable progress bar, auto-hide/sync, notifications, webhooks, and customizable per-deck settings.
Syncs WaniKani subjects into a configurable Anki deck, optionally syncing due times, reporting reviews back bi-directionally, and migrating existing WK3 decks.
Automatically syncs your collection when leaving the review screen or after staying on one card past a configurable timeout, with cooldown protection and optional notifications.
Keeps a silent dithered audio stream running during reviews so macOS AirPods stay connected, preventing missing, broken, or dropped audio from short clips.
Turns flashcard reviews into an idle rogue-like RPG where a four-character party auto-battles across dungeons while you choose power-ups, relics, companions and difficulty.
Hides Anki's menu bar, toolbars, scrollbar, and selected answer buttons during review, auto-restoring them on exit, with configurable cursor auto-hide and automatic deck review.
Automatically adjusts the new interval after a lapse to target a configurable review success rate (default 95%), fixing lapse detection and optionally applying changes silently.
Silently collects learning-process data and card metadata in the background, without affecting study, to support machine-learning research on estimating intervals from user performance and card specifications.