Translate text on your own machine without sending it to an external cloud translation API.
Experiment with running a compact ONNX-format translation model locally.
| echosoar/local-trans | kevintsai1202/teaching-site-skills | mihozip/google-workspace-admin-project-workflow | |
|---|---|---|---|
| Stars | 31 | 31 | 31 |
| Language | HTML | HTML | HTML |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | developer | vibe coder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
README gives no setup or usage instructions beyond the model name.
This is a local translation tool that runs entirely on your own computer without sending data to any external service. It uses HY-MT1.5-1.8B-ONNX, which is a compact AI translation model packaged in a format designed to run efficiently on everyday hardware. ONNX is an open format for running AI models, meaning it can work across different types of devices without requiring a specialized setup. Because the model runs locally, your text stays private and translation works offline. The project is built with HTML, suggesting it has a simple browser-based interface. Beyond these basics, the README provides no further detail about supported languages, usage instructions, or system requirements.
A local translation tool that runs the HY-MT1.5-1.8B-ONNX model on your own device, so text is translated offline without sending data to a cloud service.
Mainly HTML. The stack also includes HTML, ONNX.
No license information is provided in the README.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.