LexiGym

LexiGym is an iOS vocabulary trainer that drills user-built or hub-sourced dictionaries in multiple languages, works offline, and funds itself through ads or an optional premium subscription rather than a mandatory one.

LexiGym is an iOS vocabulary trainer built around dictionaries rather than a fixed course. Instead of handing every learner the same word list, it lets you supply the words you actually want to practise, either by building a dictionary inside the app, importing one from Google Sheets, or picking a ready-made list from the LexiGym Dictionary Hub. That flexibility is the core of the product: the dictionary is the curriculum, and the app supplies the drilling. The training layer is where the learning happens. Four exercise types rotate through your word and phrase entries, and the app states that its algorithms adapt to your pace. Progress statistics sit alongside the exercises so you can see how far a given dictionary has come. One detail worth noting is that training progress is tracked per word or phrase and shared across all dictionaries, so a term you have already mastered in one list is not treated as new when it appears in another. Practicality is clearly a design priority. The app works offline, which makes it usable on a commute or a flight, and it holds multiple languages in one install with a two-click switch between them. Cost is handled in an unusual way: all trainings are described as free without a subscription, and learners can either watch ads or pay for a premium subscription to remove them. That ad-supported or premium split positions LexiGym closer to a free utility than to a subscription-first course app. It suits self-directed learners, especially polyglots juggling several languages at once, and anyone who already has vocabulary lists from a class, textbook or spreadsheet. The comparison point is vocabulary drilling software such as Anki or Quizlet, which offer similar spaced repetition and custom decks. LexiGym competes on the iOS-native experience, offline training, dictionary sharing and the ad-or-subscribe model rather than on breadth of a built-in course library.