explaingit

wsdjeg/mujing

Analysis updated 2026-08-08 · repo last pushed 2025-12-02

Audience · generalComplexity · 2/5QuietSetup · easy

TLDR

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.

Mindmap

mindmap
  root((repo))
    What it does
      Vocabulary from media
      Interactive exercises
      Floating video captions
    Learning features
      Spelling practice
      Dictation tests
      Bilingual subtitles
    Use cases
      Learn from movies
      Exam prep from docs
      Link vocab lists
    Audience
      English learners
      Sitcom fans
      Exam students
    Platform
      Windows
      macOS
    Approach
      Multi-sensory learning
      Audio video typing

Code map

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What do people build with it?

USE CASE 1

Generate a vocabulary list from a favorite TV episode and study new words with typing and dictation exercises.

USE CASE 2

Extract vocabulary from a PDF or text document to prepare for an exam using the original reading context.

USE CASE 3

Re-watch a movie with floating learning captions turned on to reinforce vocabulary while enjoying the content.

USE CASE 4

Link separate vocabulary lists from different media to build a combined study system.

What is it built with?

Desktop AppWindowsmacOS

How does it compare?

wsdjeg/mujing000madz000/rfid-attendance00kaku/gallery-slider-block
LanguageTypeScriptJavaScript
Last pushed2025-12-022024-07-222021-05-19
MaintenanceQuietDormantDormant
Setup difficultyeasyeasyeasy
Complexity2/52/52/5
Audiencegeneraldevelopergeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

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.

Copy-paste prompts

Prompt 1
I have a subtitle file for an English movie. Help me extract the vocabulary words from it and create a study list with each word shown in its original subtitle context.
Prompt 2
Design an interactive spelling and dictation exercise workflow for learning English vocabulary extracted from a TV sitcom episode, including how to test each word in its original scene context.
Prompt 3
Build a video player feature that shows floating vocabulary captions on screen during playback, with bilingual subtitle switching and auto-pause after each subtitle line for repeat-and-read practice.
Prompt 4
Help me link multiple vocabulary lists extracted from different movies and documents into one combined study system that tracks my progress across all media.

Frequently asked questions

What is mujing?

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.

Is mujing actively maintained?

Quiet — no commits in 6-12 months (last push 2025-12-02).

How hard is mujing to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is mujing for?

Mainly general.

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