If you use Anki, you already know it is practically a superpower for long-term memorization. Spaced repetition is unbeatable, but there is always one massive bottleneck: actually making the cards. Spending hours doing data entry, copying definitions, and formatting text is tedious. That time should be spent actually studying. That is exactly why I built Ankineitor.
I recently open-sourced this project over on my GitHub to help streamline the flashcard creation process, and I want to dive into what it does, why I built it, and how you can use it to supercharge your own learning.
What is Ankineitor?
The goal of the project was simple: feed it raw information, and let it handle the formatting, tagging, and structuring required to get that information cleanly into an Anki deck.
Why I Built It (And Who It’s For)
Whether you are trying to master the Russian alphabet, memorize complex artificial intelligence architectures for a university exam, or just keep the syntax of data engineering tools like dbt and Airbyte fresh in your mind, creating good cards is exhausting.
I needed a tool that fit smoothly into a developer’s workflow. Ankineitor is designed for:
- Language Learners: Quickly generate vocabulary cards without manually looking up every single translation.
- Students & Engineers: Turn massive blocks of study notes or technical documentation into bite-sized, spaced-repetition questions.
- Automation Enthusiasts: Anyone who prefers writing a script over doing manual data entry.
How It Works Under the Hood
(foto aqui)
Using Ankineitor is designed to be straightforward. Here is a quick look at the core workflow:
- The Input: You provide the raw data. [Explain your input format: e.g., This could be a simple Markdown file, a CSV, or even a direct API pull.]
- The Processing: Ankineitor parses the information, [mention any cool technical features, e.g., uses an LLM to generate context / automatically fetches images or audio / applies custom HTML/CSS templates].
- The Output: It generates a ready-to-import
.apkgfile [or syncs directly to your local Anki app via AnkiConnect].
Example Usage
What’s Next for the Project?
Ankineitor is fully functional for my current workflow, but there is always room to grow. In the future, I am planning to add:
- [Future Feature 1, e.g., Better UI/UX for non-technical users]
- [Future Feature 2, e.g., Native integration with Notion or Obsidian]
- [Future Feature 3, e.g., More automated media fetching]
Try It Out and Contribute!
Ankineitor is completely open-source. If you want to stop wasting time creating flashcards and spend more time actually learning, you can grab the code and try it out yourself.
👉 If you find it useful, I’d love it if you left a ⭐️ on the repository. I am also actively welcoming pull requests and issues, so if you have a feature request or spot a bug, let me know!
