Anki add-on: Sequential Revealer

Sequential Cloze Revealer transforms traditional cloze cards into a more focused, step-by-step (one-by-one) learning experience. Instead of revealing everything at once, important information can be uncovered progressively, helping you focus on one idea at a time and reducing visual clutter during review. I originally created this add-on for my own study sessions because I often found large cloze cards overwhelming. Over time it became one of the tools I use most while studying, and I decided to share it with the community. Quick Preview Reveal information step-by-step while keeping your attention focused Clean center-focused layout designed to reduce distractions Features: Sequential cloze reveal system Click-to-reveal hidden segments individually Focused center-mode layout Reduced visual clutter during review Configurable reveal transitions and delays Supports both Light and Dark mode Custom reveal and highlighting behaviour Keyboard shortcuts for fast navigation Designed for active recall and step-by-step learning How to use: Click hidden segments to reveal information Use Space or Enter to continue reveal sequences Press configured shortcuts to open additional information Review one concept at a time without exposing the entire answer Settings: Center-mode controls Custom reveal behaviour Transition timing and animation controls Highlight and visibility settings Report an issue or suggest a feature on GitHub If you have any suggestions, ideas, or discover ways to improve the learning experience , I would love to hear them. This add-on is something I continue to use in my own studies every day. Many improvements come directly from real learning situations, and community feedback often inspires the best ideas. Learn step by step, stay focused, and keep moving forward. - Adel Related Add-on A companion add-on for: Cloze Dropdown . A companion add-on for: Grammar Trainer . A companion add-on for: Mouse Buttons as Review Shortcuts .

GitHub repository: doummar/sequential_cloze_revealer
Languages: Python, JavaScript, CSS