Loop through the parsed XML data, sanitize the text into clean strings or valid HTML, instantiate individual Note objects, and append them to the Deck.
This is the recommended method for most users. is a Python library that lets you programmatically create Anki decks, notes and packages with a clean, object‑oriented API. You write a Python script that parses your XML (using xml.etree.ElementTree , lxml or pandas ) and then creates genanki.Note and genanki.Deck objects before writing everything to an .apkg file.
What is inside your XML? (e.g., languages, medical terms, law notes) xml to apkg
Go to File > Export and select "Anki Deck Package (*.apkg)". 3. Custom Python Scripting (Advanced)
tree = ET.parse('data.xml') root = tree.getroot() Loop through the parsed XML data, sanitize the
To convert data into an APKG (Anki) file format—especially for "deep" content like complex card layouts, images, and audio—there is no single one-click standard. Because XML structures vary by application, you must first bridge the data into a format Anki understands, such as CSV or JSON , before packaging it into an APKG. Recommended Conversion Workflow
genanki allows you to pass a list of local media paths into genanki.Package(deck, media_files=[...]) . This automatically zips your audio clips or images straight into the APKG. You write a Python script that parses your XML (using xml
The native file format used by Anki to export and import decks. An .apkg file is actually a zipped archive containing an SQLite database ( collection.anki2 or collection.anki21 ) that stores card data, scheduling history, and card templates, along with a separate media folder for images and audio.
: A SQLite database containing all the cards, notes, card models (templates), configuration profiles, and review history.
# Create the Note # genanki handles GUIDs automatically, but manual creation ensures stability note = genanki.Note( model=model, fields=[word, definition, image_html] )
: Unlock advanced features like spaced repetition , cross-platform sync, and deep customization.