WINDOWS DESKTOP · LOCAL INFERENCE

Your words.
Your context. Your PC.

A translation desk that understands the brief—not just the sentence. Add context, choose a tone, and guide terminology with your own local language model.

English  ·  简体中文  ·  繁體中文  ·  Bahasa Indonesia

Version 1.1.0 · Windows 10/11 x64 · Requires local Ollama and a downloaded model.
This page is a download page, not a browser translator. No paid translation API.

Loka Translate in dark mode with example English and Traditional Chinese text and a Light mode toggle

New in 1.1.0: Light/dark appearance with a top-right toggle. Text, tabs and dropdowns switch together without clearing your work. Only the appearance preference is remembered locally. Dark mode shown above with example text; Windows dialogs follow your system settings.

Translate with intent

Five tone choices, optional background context and per-session terminology guidance. Stream the translation, then request alternative phrasings and English notes.

Chinese, deliberately

Separate Simplified and Traditional targets. OpenCC normalizes the script locally; Traditional uses Taiwan vocabulary.

Local by design

Inference uses loopback-only Ollama. No cloud fallback, API key, telemetry or saved translation history. Copy and export only when you choose.

Start translating

  1. Have Ollama installed and running, with a downloaded local model. The recommended model is qwen3:8b.
  2. Download and extract the Windows ZIP to a folder you will keep. Open LokaTranslate.exe.
  3. Pick your languages and paste text. Add context or a glossary if helpful. Click Translate, or press Ctrl+Enter.
  4. For quick access, create a desktop shortcut and pin the running app's taskbar icon.

Software/model setup needs internet. Translation works offline once the model is present. The first request loads the model; CPU-only translation can be slow. No model downloads happen automatically.

The executable is unsigned. Verify the SHA-256 below and inspect the source rather than disabling Windows security protections.

ZIP SHA-256: 21108f1c01d2a78f1428ddac9319d324ead7be1d79f3cdd49ce8617d974f78f3