YapCards (iOS) – Voice-driven flashcards with AI feedback
Testflight Link: https://testflight.apple.com/join/8YzpXxjz I wanted to be able to practice Spanish vocab while on my commute to work so I created YapCards. It's an iOS app focused on making flashcard studying hands-free & efficient. Like Anki, but entirely spoken. You choose a list to practice, the app reads the prompt out loud (e.g. "What charge does a proton have?"), & you respond by voice. YapCards uses AI to evaluate your response & provide feedback. Some key features: Voice-only practice (no need to look at your screen) AI evaluation & feedback Practice publicly…
In plain words
YapCards is an iOS app for hands-free flashcard practice using voice. Users select a study list, listen to prompts read aloud, and respond verbally while the app uses AI to evaluate answers and provide feedback. It supports custom lists uploaded via Excel or public community lists. The app employs spaced repetition scheduling similar to Anki, making it suitable for studying languages, vocabulary, or other subjects during commutes or while multitasking.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Testflight Link: https://testflight.apple.com/join/8YzpXxjz I wanted to be able to practice Spanish vocab while on my commute to work so I created YapCards. It's an iOS app focused on making flashcard studying hands-free & efficient. Like Anki, but entirely spoken. You choose a list to practice, the app reads the prompt out loud (e.g. "What charge does a proton have?"), & you respond by voice. YapCards uses AI to evaluate your response & provide feedback. Some key features: Voice-only practice (no need to look at your screen) AI evaluation & feedback Practice publicly available lists or upload your own excel lists. Publish your lists for others to use Uses the SM2 algorithm to manage repetition scheduling Tech stack includes Swift, Firebase, Deepgram, ElevenLabs, and OpenAI (trying various models) I’d love feedback from fellow learners, developers, or anyone interested in voice interfaces. Especially if you’ve built language tools before — I’m curious about what would make this more useful or sticky. Thoughts around voice recognition / silence detection, reducing latency, and improving AI feedback greatly appreciated! Thanks for taking a look.
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