mirumoji 2.3.6

CLI and GUI launcher for the Mirumoji project, an open-source, self-hostable Japanese language immersion tool.

Overview

Mirumoji is an open-source, self-hosted Japanese immersion toolkit. Drop in any video, anime episode, drama or audio clip and it gives you: clickable tokenized subtitles with dictionary pop-ups, Whisper-powered transcription, instant SRT/clip extraction, and one-click Anki deck export — all in Docker, all running on your own machine.

Optional OpenAI Integration - Customizable GPT Breakdowns of Subtitles -

Optional Modal Integration - Install a CPU only version and run all GPU tasks on the cloud -

---

Preview

You can see a preview of the application's frontend (No backend running) Here

Features

Interactive Video Player

Upload your local anime/J-Drama espisodes or any Japanese video and .SRT subtitles.

Clickable Japanese Subtitles

Subtitles are tokenized (kuromoji.js), allowing you to click individual words with integrated offline JMDict for definitions.

OpenAI Integration

Modify System Message and User Prompt with {sentence} and {word} variables.

Local Media Processing

Video Conversion

Upload videos in various formats; they can be converted to MP4 for optimal playback.

SRT Generation

Generate subtitles for your videos. Runs FasterWhisper with modified parameters to increase accuracy for longer media such as Anime/ J-Drama episodes.

Audio Transcription

Transcribe Japanese audio from recordings or uploaded files.

Profile-Based Data Management:

Persistent Storage

Profile configurations and all other profile-related data is stored and managed via SQLite database by the backend.

Clip Saving

Save important video segments with their associated word breakdowns and export as an Anki Deck

---

Setup

Both the frontend and backend have pre-built Docker images and are set up to work with Docker Compose.

The easiest setup is to run the launcher for your platform. For detailed instructions please refer to the Setup Guide

You can also choose to build the images locally with the Dockerfiles provided.

---