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Convert Markdown notes to Anki flashcards

To convert Markdown notes into Anki flashcards, follow this format transformation process. Anki supports importing cards in CSV or TSV format, and tools like AnkiConnect or crowdAnki can also be used for more advanced workflows.

Step-by-Step Guide:

1. Markdown Structure (Example Notes)

markdown
# Biology ## Cell Structure - **Q:** What is the function of the mitochondria? - **A:** The mitochondria is the powerhouse of the cell; it generates ATP through cellular respiration. - **Q:** What organelle is responsible for photosynthesis in plants? - **A:** Chloroplast. ## Genetics - **Q:** What is DNA? - **A:** DNA is the molecule that carries genetic information in living organisms.

2. Convert to Anki Format (CSV / TSV)

You need to format your questions and answers like this (e.g., tab-separated values):

vbnet
What is the function of the mitochondria? The mitochondria is the powerhouse of the cell; it generates ATP through cellular respiration. What organelle is responsible for photosynthesis in plants? Chloroplast. What is DNA? DNA is the molecule that carries genetic information in living organisms.

Each row is a flashcard: front tab back.

3. Save and Import into Anki

  • Save the above format as a .txt or .csv file.

  • In Anki:

    • Go to File > Import

    • Choose the file

    • Set “Fields separated by” to Tab (or comma for CSV)

    • Map Field 1 to Front and Field 2 to Back


Automated Python Script (Optional)

If you have many markdown files and want to automate the conversion:

python
import re def md_to_anki(filepath, output_path): with open(filepath, 'r', encoding='utf-8') as f: md_text = f.read() qa_pairs = re.findall(r'- **Q:** (.*?)n- **A:** (.*?)n', md_text, re.DOTALL) with open(output_path, 'w', encoding='utf-8') as f: for question, answer in qa_pairs: f.write(f"{question.strip()}t{answer.strip()}n") md_to_anki('notes.md', 'anki_cards.txt')

If you’d like, I can help convert your actual Markdown content into Anki cards—just paste the content you’d like to convert.

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