Hanky – ETL style framework for loading flash cards into Anki
It makes it easy to hit API's, web scrape, do text-to-speech via online services etc in order to build rich flash cards in an automated way. This has grown organically over a couple of years while learning French and German with some friends and thought some of you guys might find it useful. An example pipeline I built with Hanky: - Use CV to grab highlighted words and their context off of a page of printed text (extract) - translate the highlighted word via an API (transform) - generate audio with a tts service (transform) Then load all that into anki as flash cards (load) Keen to hear any…
In plain words
Hanky is an ETL framework for automating the creation of Anki flashcards by combining multiple data sources and services. It enables users to extract content via computer vision or web scraping, transform data through APIs and text-to-speech services, and load the results directly into Anki. Designed for language learners and developers, Hanky streamlines workflows that would otherwise require manual assembly of rich flashcards with audio, translations, and context.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
It makes it easy to hit API's, web scrape, do text-to-speech via online services etc in order to build rich flash cards in an automated way. This has grown organically over a couple of years while learning French and German with some friends and thought some of you guys might find it useful. An example pipeline I built with Hanky: - Use CV to grab highlighted words and their context off of a page of printed text (extract) - translate the highlighted word via an API (transform) - generate audio with a tts service (transform) Then load all that into anki as flash cards (load) Keen to hear any feedback and hope you find it useful.
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