I got tired of sending every text I translate to Google/DeepL. Even with all the opt-out options and privacy policies, it never felt right especially for some work documents, personal writing, or anything sensitive. So I decided to build this tool, which lets me use LLMs for context translations and also a standard translation engine like Argos. It works with Ollama, llama.cpp or argos-translate, and you can configure the model you want to use.loqi translate --from it --to en Ciao mondo Obviously, the quality of the translation depends entirely on the model used, but I ve noticed that you can get good, if not excellent, results even with a small model (such as Gemma 4 E2B or Phi4-min).So there you have it: Loqi is open source, cross-platform (MacOS, GNU/Linux, Windows), written in Go with Bubble Tea for the TUI. It allows the model to translate individual sentences or process entire files (whether plain text, Markdown or JSON).I used LLMs to help write parts of the code, including self-hostable ones (those that run on AMD GPU with 16 GB of VRAM), but I ve tried to set up the project as much as possible, and there s probably a lot more work to be done and some ideas to implement.I d be more than happy to accept contributions.