Saber-Translator is a manga translation tool that automates the detection, recognition, and translation of Japanese manga into Chinese.
The tool addresses the barrier of reading untranslated manga by combining multiple AI technologies in a single workflow. It detects speech bubbles and text regions in manga pages, recognizes Japanese text using specialized OCR engines, translates the content through configurable AI services, removes original text from images, and renders translated text back onto the pages. The system supports both image formats and PDF files, extracting pages automatically from PDFs. A high-quality translation mode uses multimodal models to process multiple pages together for improved contextual accuracy.
The tool suits manga enthusiasts who want to read Japanese originals without language barriers and are comfortable with software that requires configuration of API keys for translation services. It works with image files in JPG, PNG, and WEBP formats as well as PDFs. The project includes a full manga management system with a bookshelf for organizing titles, chapters, and custom tags, plus a dedicated reader interface for switching between original and translated versions. An analysis engine called Manga Insight performs character recognition, plot summarization, dialogue extraction, and semantic search across manga content, enabling question-answering about specific story details.
The project shows active development with regular commits addressing bug fixes and feature improvements. The codebase demonstrates responsiveness to user feedback through issue tracking and tutorial documentation. Development activity indicates ongoing refinement of core translation pipelines and expansion of supported OCR and translation service integrations.
