Privacy-focused translation using local Ollama LLM models
Users
17
−2 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#165K
#138K among extensions
Version
1.0.9
updated 12 Oct 2026
Users
monthly, 6 months
Latest, 21 Oct 2026:17 usersMove the mouse over the chart for any month
Ratings count
monthly, 6 months
Latest, 21 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Standby Translator
Standby Translator is a privacy-focused translation extension for people who want local AI translation while browsing.
Select text on a web page, right-click, and choose "Translate with Standby" to see a clean translation popup near the selection. You can also click the extension icon to paste text directly into a quick translation panel.
Key features:
- Local translation through your own Ollama endpoint
- Right-click translation for selected page text
- Quick paste translation from the extension icon
- Separate word and sentence prompts
- Word details including translation, part of speech, definition, pronunciation, and sample usage when your model provides them
- Clean sentence translations without extra clutter
- Force re-translate when you want a fresh result from a different or stronger model
- Local translation cache for faster repeated lookups
- Recent single-word cache view and Markdown word-card export
- Configurable source/target languages, prompts, model, timeout, and sampling parameters
Privacy notes:
Standby Translator does not use analytics, ads, or developer-controlled translation servers. Text is sent only to the Ollama endpoint you configure. Settings, prompts, and cached translations are stored locally in Chrome storage.
Setup note:
You need Ollama running locally. For browser-extension requests, start Ollama with CORS enabled:
```bash
OLLAMA_ORIGINS="*" ollama serve
```
Then install a model, for example:
```bash
ollama pull llama3
```