Local manga translator with LLM build-in, written in Rust with llama.cpp integration

Hi LocalLLaMA,

I created a post a few weeks ago, but this time this project has become more reliable and easier to use.

This is a manga translator that can also be used to translate any image. It uses a combination of object detection, visual LLM-based OCR, layout analysis, and fine-tuned inpainting models. I believe it is the most performant and easy-to-use pipeline for manga translation.

For the LLM part, I have integrated llama.cpp into this application; it supports the Gemma 4 family and the Qwen3.5 family, and also includes uncensored and fine-tuned models. It also supports OpenAPI-compatible API, so you can use LM Studio or OpenRouter, etc.

I think the demo video explains the workflow a lot, basiclly you just click a button and it will run the pipeline for you. You can also proofread and edit the result, changing the font, size, color, etc. It's a mini Photoshop editor.

For who may have interest on this, it's fully open-source: https://github.com/mayocream/koharu