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Manga Translator

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Overview

Перевод манги в браузере через локальные LLM (Qwen / Ollama / LM Studio).

Manga Translate LLM is an open-source manga translation system that runs entirely on your own computer. It combines a Chrome extension (side panel interface), a FastAPI backend (Docker-containerized), and local language models via LM Studio or Ollama — no cloud services, no API keys, your images never leave your machine. Built for weak, local models Unlike tools that need a big cloud model or high-end GPU, this extension is engineered to work well on modest local models (9B+ parameters). Instead of asking a small model to translate an entire page in one shot — which small models handle poorly — the pipeline breaks translation into structured stages: OCR — reads the raw text on the page Whole-page vision analysis — a vision model reviews the image, fixes/groups OCR results, and does a first translation pass Panel-specific re-reading — a focused vision pass re-reads each panel at full resolution Voting — cheap requests run in parallel, majority answer wins, catching one-off mistakes Have a powerful local model or a paid API instead? Turbo mode collapses the pipeline to the minimum number of requests, translating up to 10× faster by skipping the extra scaffolding. Features Fully local processing — your manga images and translations never leave your PC Works with LM Studio or Ollama as the LLM backend Simple mode for everyday use, Developer mode with debugging tools, pipeline toggles, and direct LLM chat Ready-made hardware presets for different VRAM configurations UI available in 13 languages: English, Russian, German, French, Spanish, Portuguese, Italian, Polish, Japanese, Korean, Chinese, Arabic, Turkish Requirements Docker must be installed, along with local language models (LM Studio recommended for better performance on lower-VRAM machines). Full step-by-step installation instructions and documentation are available on GitHub. Installation & documentation (choose your language) 🇬🇧 English: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/en 🇷🇺 Установка на русском: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/ru 🇩🇪 Installation auf Deutsch: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/de 🇫🇷 Installation en français: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/fr 🇪🇸 Instalación en español: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/es 🇵🇹 Instalação em português: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/pt 🇮🇹 Installazione in italiano: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/it 🇵🇱 Instalacja po polsku: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/pl 🇯🇵 日本語でのインストール: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/ja 🇰🇷 한국어 설치 안내: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/ko 🇨🇳 中文安装说明: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/zh 🇸🇦 التثبيت بالعربية: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/ar 🇹🇷 Türkçe kurulum: https://github.com/mega-chizi/MangaTranslateLLM/tree/main/README/tr Visit the GitHub repository (https://github.com/mega-chizi/MangaTranslateLLM) for the full source code, detailed explanation of how the translation pipeline works, and support options.

Details

  • Version
    1.0.1
  • Updated
    August 17, 2026
  • Offered by
    mega.chizi
  • Size
    435KiB
  • Languages
    English
  • Developer
    None
    K. Ulvydo g. 11 Vilnius, Vilniaus m. sav. 08355 LT
    Email
    mega.chizi@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

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The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

For help with questions, suggestions, or problems, visit the developer's support site

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