Displays customizable, color-coded overlays of remaining new, learning, and review card counts during reviews, with animated +1/-1 indicators and configurable position, font, and current-card highlighting.
Alternatives to Hide Review Type Underline
AnkiWeb addon 1328555715
AI answer
Answers are generated by Claude from the catalog data and may contain mistakes.
Similar addons (found without AI)
Removes the underline beneath the active queue in the reviewer, hiding which queue a card comes from for users who prefer not to know.
Hides the expected review intervals shown beneath answer buttons during card review while preserving the button layout and spacing, working with both V2 and V3 schedulers.
Creates a mind map card template that organizes decks hierarchically, with Tools-menu setup, selectable themes, optional hiding, and mobile pan-and-zoom support.
Automatically tracks study sessions and displays daily, deck, and historical review-time statistics with efficiency estimates, integrating with Review Heatmap (required) and offering customizable panels.
Renders Anki flashcards with enhanced markdown, LaTeX math, syntax highlighting, theme-aware styling, and interactive cloze toggles via React-based note types.
Displays a colored indicator of the last answer during review, with configurable size, colors, and duration, useful when using a controller.
Displays pop-up previews with high-yield facts, thumbnail images, and links to three-minute mnemonic videos when hovering over underlined topics in any Anki deck.
Displays new, learning and review card counts as density-decreasing stripe characters plus vertex-count shapes in the reviewer and overview, with toggles and tooltips.
Displays exam countdown banners during reviews, with per-deck settings, comparison modes, pre-flip warnings, and tools to reschedule cards before exams.
Adds Kotu-based Japanese pitch-accent and word-frequency annotations to Anki cards via note-type setup, working on mobile and desktop, with most utilities requiring internet.
Adds a toolbar indicator showing the number of people known to have recovered from COVID-19, sourced from Johns Hopkins data.