wsdjeg/mujing — explained in plain English
Analysis updated 2026-08-08 · repo last pushed 2025-12-02
Generate a vocabulary list from a favorite TV episode and study new words with typing and dictation exercises.
Extract vocabulary from a PDF or text document to prepare for an exam using the original reading context.
Re-watch a movie with floating learning captions turned on to reinforce vocabulary while enjoying the content.
Link separate vocabulary lists from different media to build a combined study system.
| wsdjeg/mujing | 000madz000/rfid-attendance | 00kaku/gallery-slider-block | |
|---|---|---|---|
| Language | — | TypeScript | JavaScript |
| Last pushed | 2025-12-02 | 2024-07-22 | 2021-05-19 |
| Maintenance | Quiet | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | general | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Mujing is a desktop app for learning English vocabulary through the context of real movies, TV shows, and documents. Instead of memorizing words from a generic list, you learn each word embedded in the scene or passage where it actually appears, which makes the vocabulary more memorable and useful. The core workflow is straightforward. You pick content you already enjoy, like a movie file or a subtitle file, and the app generates a personalized vocabulary list from it, pulling out each word along with its original context. When studying, you get interactive exercises like spelling practice, transcription of the relevant subtitles, and dictation tests. The app also includes a built-in video player with a unique feature: as you watch, the words you are currently learning appear as floating captions on the screen, reinforcing your memory while you enjoy the content. The player includes handy tools like bilingual subtitle switching, auto-pause after each line for repeat-and-read practice, and click-to-translate on any subtitle word. This app is designed for English learners who want to move beyond dry flashcard drills. For example, a fan of American sitcoms could generate a word list from a favorite episode, learn the new vocabulary through typing and dictation exercises, and then re-watch the episode with the learning captions turned on. Someone preparing for an exam could similarly extract vocabulary from a PDF or text document and study those words in their original reading context. It is available for Windows and macOS. A notable design choice is the project's focus on multi-sensory learning. It deliberately combines audio, video, typing, and writing into a single loop, aiming to build muscle memory through spelling practice rather than just visual recognition. The app also supports linking separate vocabulary lists together, so you can build a combined study system across different types of media.
A desktop app for learning English vocabulary by extracting words from movies, TV shows, and documents you already enjoy, then studying them through interactive spelling, dictation, and floating on-screen captions.
Quiet — no commits in 6-12 months (last push 2025-12-02).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
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