Dango Translator is a screen-based OCR translation tool that recognizes text within a specified screen region and translates it using multiple translation sources in real time.
The tool solves the problem of translating raw, untranslated media by capturing on-screen text through OCR and immediately providing translations. It offers both offline OCR and online OCR options, with a dedicated manga translation mode that can automatically recognize, translate, remove original text, and embed translated text into images. An automatic mode continuously monitors and translates text in a defined area without manual intervention.
The project suits users working with untranslated Japanese manga and similar media who need rapid, real-time translation capabilities. It provides conventional translation, online AI translation, and local AI translation options, along with an account system for cloud-based configuration storage. The manga translation feature distinguishes it by handling the full pipeline of OCR, translation, text removal, and re-embedding in a single workflow.
The Python version of the codebase is no longer maintained, as the project was completely rewritten in Go from version 4.5.8 onward. The repository continues to serve as a distribution point for the latest releases and version information, though active development has shifted to the new language implementation. Users seeking to contribute to the Go version are directed to contact the maintainer through community channels.
