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Powerful flashcard program

Anki — Official Website
Anki is the undisputed champion of long-term memory training. While its utilitarian interface and steep learning curve can be intimidating, no other software offers the same level of algorithmic efficiency, customizability, and cross-platform reliability. For Mac users, the native Apple Silicon support and rich add-on ecosystem make it an indispensable tool. It transforms the act of 'studying' from a vague effort into a quantifiable, optimized daily habit. It is not just an app; it is a lifestyle change for serious learners.
brew install --cask ankiAnki is a powerful, open-source flashcard program that utilizes spaced repetition (SRS) to make remembering things easy and efficient. Originally released in 2006 by Damien Elmes, Anki has evolved from a simple memorization tool into the industry standard for high-stakes learning, widely adopted by medical students, polyglots, and programmers. Unlike standard flashcard apps that rely on simple rote usage, Anki employs sophisticated algorithms—traditionally SuperMemo 2 (SM-2) and now the advanced FSRS (Free Spaced Repetition Scheduler)—to predict exactly when you are about to forget information and schedule a review for that precise moment. In 2026, Anki remains distinct because of its uncompromising flexibility and 'content-agnostic' nature; it handles text, images, audio, video, and scientific markup (LaTeX) with equal ease. For Mac users, the application runs natively on Apple Silicon, offering a snappy, battery-efficient experience that integrates deeply with macOS through a vast ecosystem of Python-based add-ons. While it has a steeper learning curve than competitors like Quizlet, its ability to handle hundreds of thousands of cards without performance degradation makes it the definitive choice for long-term knowledge retention and mastery.
At the core of Anki is its scheduling engine. While it historically used a modified SM-2 algorithm, the integration of the Free Spaced Repetition Scheduler (FSRS) represents a massive leap forward in memory efficiency. FSRS uses machine learning to analyze your specific retention patterns, adjusting intervals based on the difficulty of the card and your review history. For a Mac user studying for the MCAT or the Bar Exam, this means significantly fewer reviews per day for the same level of retention compared to older algorithms. You can customize retention targets (e.g., 'I want to remember 90% of my material') and the software mathematically optimizes your daily workload to meet that goal.
The Mac desktop version of Anki is the most powerful because of its support for Add-ons—small Python plugins that extend functionality. Users can install tools like 'Image Occlusion Enhanced' to create flashcards by hiding parts of anatomical diagrams, 'Review Heatmap' to visualize study streaks, or 'AnkiConnect' to link Anki with other tools like Raycast or Obsidian. This extensibility allows users to gamify their learning or automate card creation. For example, language learners can use add-ons to automatically pull audio pronunciations and definitions from online dictionaries directly into their cards, turning a manual entry process into a one-click action.
Anki cards are essentially mini-HTML pages, giving users complete control over styling and content types. You are not limited to text on the front and back. You can embed high-resolution images, audio clips for pronunciation, videos, and complex scientific notation using LaTeX or MathJax. This is particularly vital for mathematics and physics students who need to render equations properly on their Mac's Retina display. The media is synced across devices, ensuring that heavy media collections created on your MacBook Pro are fully accessible on your iPhone for on-the-go review, with optimized media handling to manage storage space efficiently.
While spaced repetition is designed for long-term retention, real-life often requires short-term cramming. Anki's 'Filtered Decks' feature allows you to pull cards out of your regular rotation based on specific criteria—such as 'cards due in the next 3 days' or 'cards tagged hard'—and study them immediately without ruining your long-term scheduling. This is invaluable before a big exam. You can create a custom session to review only 'Leech' cards (cards you constantly fail) or focus specifically on a certain tag hierarchy, giving you surgical precision over what you study and when.
Anki offers a robust, free synchronization service called AnkiWeb. This cloud backend ensures that your study progress, card edits, and media assets remain consistent across all your devices. You can create complex decks on your Mac using a full keyboard and mouse, sync them to the cloud, and then review them on AnkiMobile (iOS) or AnkiDroid while commuting. The sync protocol is differential, meaning it only transfers changes, which is data-efficient. Furthermore, AnkiWeb provides a browser-based review interface, allowing you to access your decks from a library computer or a borrowed laptop without installing the software.
Sarah is a second-year medical student preparing for Step 1. She handles a deck of over 25,000 cards (the 'AnKing' overhaul). She uses the Mac version primarily for card creation and management. Using the 'Image Occlusion' add-on, she takes screenshots of anatomy textbook diagrams and creates 20 flashcards from a single image by masking different labels. She relies on the FSRS scheduler to keep her daily reviews manageable (around 400 cards/day) rather than the 800+ she might face with less efficient algorithms. During her hospital rotations, she syncs to her iPhone to clear her reviews in 5-minute bursts between rounds.
Kenji is using Anki to master 2,000 Kanji and 10,000 sentences. He uses the 'Mihome' dictionary integration on his Mac to instantly create cards while reading Japanese news articles. His cards are styled with custom CSS to display vertical text and include native audio clips of pitch accents. He utilizes the 'MorphMan' or similar frequency-based add-ons to reorder his cards, ensuring he learns the most common words first. The ability to type in answers allows him to test his recall of Kanji writing strokes accurately, using a drawing pad connected to his Mac.
Alex uses Anki to retain obscure syntax, command-line arguments, and architectural patterns. Instead of simple Q&A, Alex uses Cloze deletion cards to test code completion (e.g., 'git {{c1::commit}} -m "message"'). He maintains a 'Knowledge Base' deck that serves as a personal mental index. Whenever he spends more than 15 minutes searching StackOverflow for a solution, he creates an Anki card for it. He uses the syntax highlighting add-on to ensure code snippets on his cards are readable and color-coded like his IDE. This transforms his debugging experience from searching the web to searching his memory.
Installing Anki via Homebrew is the cleanest method, ensuring you get the correct DMG and can easily update it later. Anki runs natively on both Intel and Apple Silicon Macs.
If you haven't already, open your Terminal app and paste: /bin/bash -c '$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)'
In the same Terminal window, execute the following command: brew install --cask anki
Open Spotlight (Cmd + Space), type 'Anki', and launch the app. Confirm the version number in the 'About Anki' menu matches the latest stable release.
Navigate to Deck Options and scroll to the bottom to find the FSRS section. Turning this on (and optimizing parameters after you have some review history) is highly recommended for modern users. It replaces the older algorithm with one that adapts better to your retention, often reducing study time by 15-20%.
The default setting is often 20 new cards per day. Beginners should be careful increasing this. Adding 50 new cards a day quickly balloons into hundreds of reviews per day within a week. Configure this setting conservatively (e.g., 10-15) until you understand your sustainable workload capacity.
Don't settle for the basic look. Go to 'Cards...' allows you to edit the HTML/CSS. Adding a larger font size, a dark background (if not using system dark mode), or specific colors for gendered nouns (in language learning) can significantly reduce eye strain and improve recognition speed.
While Anki is the king of customization, other apps offer better UI or different methodologies for users who find Anki too complex.
Quizlet is far more user-friendly and visually polished but lacks the sophisticated spaced repetition algorithm of Anki. It is better for short-term cramming and casual learning, whereas Anki is superior for multi-year retention. Quizlet also hides many features behind a subscription, whereas Anki Desktop is free.
RemNote combines note-taking with flashcards. If you want to write summaries and automatically generate flashcards from your notes, RemNote is a better workflow. Anki is purely a card review tool, not a knowledge management system, though it integrates with Obsidian via plugins.
Brainscape uses a 'Confidence Based Repetition' system which is a simplified version of SRS. It is web-first and has a smoother onboarding process. However, it lacks the add-on ecosystem and offline robustness of Anki on Mac, making it less suitable for power users or heavy offline study.
The Anki ecosystem has a unique pricing model. The Desktop application for macOS (as well as Windows and Linux) is completely free and open-source. There are no subscriptions or premium tiers for the Mac app. AnkiWeb (cloud sync) is also free. The project is funded primarily through sales of the iOS app, 'AnkiMobile Flashcards,' which costs approximately $25.00 USD (one-time purchase). Android users use 'AnkiDroid,' which is free and open-source.
Anki boasts one of the most dedicated communities in the software world. The official Anki support forums are active daily, often with responses from the developer (Damien Elmes) or core contributors. There is a massive subreddit (r/Anki) with over 100,000 members where users share CSS templates, JavaScript hacks, and study strategies. Because the software is open-source, bugs are reported and fixed rapidly. Documentation is comprehensive, though technical. The 'AnKing' YouTube channel has become the de-facto video manual, offering high-quality tutorials that bridge the gap for non-technical users.
Evolving Medic, MD • 344.9K views
Claudia Green • 83.8K views
Alec Palmerton, MD • 22.5K views
Anki is the undisputed champion of long-term memory training. While its utilitarian interface and steep learning curve can be intimidating, no other software offers the same level of algorithmic efficiency, customizability, and cross-platform reliability. For Mac users, the native Apple Silicon support and rich add-on ecosystem make it an indispensable tool. It transforms the act of 'studying' from a vague effort into a quantifiable, optimized daily habit. It is not just an app; it is a lifestyle change for serious learners.
Productivity & Workflow Analyst
Software tools designed to assist in learning, memorization, and academic research.
Applications that optimize workflow and personal efficiency on macOS.
Last verified: Feb 15, 2026
Accessed Feb 15, 2026
Accessed Feb 15, 2026
Accessed Feb 15, 2026
Accessed Feb 15, 2026
Accessed Feb 15, 2026
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