Automatically translates the UI text inside Obsidian's settings modals (plugin settings / core settings) into your target language using any OpenAI-compatible LLM. Defaults to Simplified Chinese and supports any other language. Translation applies automatically about 2 seconds after you open a settings modal — no button clicks needed.

⚠️ This plugin only translates text inside settings modals. It never modifies the main interface, note contents, or any plugin source files. Translations take effect only on the current UI session.

Features

• Automatic translation: Open any settings modal (plugin / core settings) and English text is translated into your target language within about 2 seconds.
• Any target language: Defaults to Simplified Chinese; you can pick a language from the dropdown (English / 日本語 / Français / 한국어 / Deutsch…) or type a custom one. Each language keeps an independent translation cache.
• Manual trigger: Click the globe icon in the left ribbon, or the "Test Translation" button in the plugin settings, to re-translate instantly.
• Pop-out window support: Works in detached pop-out settings windows too.
• Mobile support: Works on iOS / Android — automatic translation, persistent cache, and language switching all function (isDesktopOnly: false).
• Persistent translation cache: Translations are saved to cache.json through Obsidian's cross-platform file API (works on desktop and mobile), so the same text is reused across sessions and restarts, saving tokens.
• Adaptive polling: Polling slows down automatically when idle to reduce overhead.
• Token transparency: The settings tab shows the total token usage of the current session (prompt / completion / total / request count) in real time.
• Any OpenAI-compatible API: Works with local servers (Ollama, LM Studio, etc.) and cloud services (DeepSeek, OpenAI, Kimi, Qwen, Zhipu GLM, etc.). Provide the full /chat/completions endpoint URL.
• Debug mode: Off by default; when enabled, diagnostic files are written to help troubleshooting.

Requirements

You need a working OpenAI-compatible chat completions endpoint, for example:

• Local: Ollama (default config http://127.0.0.1:11434/v1/chat/completions, model qwen2.5:7b)
• Local: LM Studio, vLLM, etc.
• Cloud: DeepSeek, OpenAI, Kimi (Moonshot), Qwen (DashScope), Zhipu GLM, etc.

Both the desktop and mobile versions of Obsidian can reach cloud APIs directly, no proxy required.

Installation

Option 1: BRAT (recommended)

1. Install the community plugin BRAT (Obsidian Settings → Community plugins → Browse → search "BRAT").
2. In BRAT settings, add this repository URL: https://github.com/lindongyan1992/llm-settings-translator
3. Enable the "LLM Settings Translator" plugin and configure your LLM endpoint and model in its settings.

Option 2: Manual install

1. Download main.js and manifest.json from the latest release of this repository.
2. Place them into .obsidian/plugins/llm-settings-translator/ inside your vault.
3. Restart Obsidian and enable "LLM Settings Translator" under Installed plugins.

Option 3: Mobile install

• Android: Download main.js and manifest.json from the latest release and place them into .obsidian/plugins/llm-settings-translator/ using a file manager that can show hidden files. Restart the app and enable the plugin under Installed plugins.
• iOS: The Files app cannot access the hidden .obsidian directory, so you need to wait for the official community directory review to pass, then search for "LLM Settings Translator" directly inside the app.

Option 4: Official community directory (pending review)

This plugin has been submitted to the official Obsidian community directory. Once approved, you can find it under Obsidian Settings → Community plugins → Browse (desktop and mobile), and updates will be handled automatically by Obsidian.

Settings

After configuring, click "Test Connection" to verify that the endpoint and model work.

Usage

• Prerequisite: The LLM must be reachable — use the "Test Connection" button in the plugin settings to confirm.
• Automatic translation: Open any settings modal (plugin / core settings) and English text is translated into the target language within about 2 seconds.
• Target language: Defaults to Simplified Chinese. Pick a common language from the dropdown, or choose "Custom…" and type any language name; reopen the modal to apply. Unrecognized names fall back to Simplified Chinese instead of producing garbled output.
• Manual trigger: Click the globe icon in the left ribbon to translate immediately.
• Scope: Only text inside settings modals is translated; the main interface and note contents are untouched.
• Save tokens: Translations are cached persistently in cache.json and reused across sessions / restarts; polling slows down to 15 seconds when idle.

How it works

1. Detects settings modal root nodes across documents (including pop-out windows).
2. Recursively collects English text nodes inside the settings area (skipping code, input controls, note editors, etc.).
3. Sends them in batches to the LLM (OpenAI-compatible protocol, temperature=0), parses the JSON mapping, and writes translations back to the UI.
4. A MutationObserver guard plus polling fallback restores translations automatically when Obsidian re-renders and English text comes back.
5. Translations are stored in cache; subsequent matches are applied directly without calling the model again.

Development

• Source: src/main.js (single-file CommonJS implementation, no TypeScript dependency).
• Build: npm install → npm run build (esbuild bundles to root main.js).
• Dev mode: npm run dev (esbuild watch mode; rebuilds automatically on source changes).
• Releasing a new version:
  1. Edit src/main.js, then run npm version patch|minor|major (syncs manifest.json and versions.json automatically).
  2. git push --tags triggers GitHub Actions, which builds the plugin and creates a draft release (including main.js + manifest.json with build provenance).
  3. Add release notes on the GitHub Release page and click Publish release.
• Note: The root main.js is a build artifact (excluded via .gitignore); always edit src/main.js.

License

MIT

中文说明

LLM Settings Translator（设置弹窗翻译器）

用 OpenAI 兼容的 LLM 自动把 Obsidian 设置弹窗（插件设置 / 核心设置）里的英文界面翻译成你指定的语言（默认简体中文，可改为任意语言）。打开设置弹窗后约 2 秒内自动生效，无需点击任何按钮。

⚠️ 本插件只翻译设置弹窗内的文字，不修改主界面与笔记正文，也不会改动任何插件的源文件。翻译结果仅在当前会话的界面上生效。

功能特性

• 自动翻译：打开任意设置弹窗（插件 / 核心设置）后，英文自动变成目标语言（约 2 秒内）。
• 多语言目标：默认翻译成简体中文，可在设置中改为任意语言（English / 日本語 / Français / 한국어…），各语言翻译缓存独立、互不串用。
• 手动触发：点击左侧功能区的地球图标，或插件设置页内的「翻译测试」按钮可立即重翻。
• 跨窗口支持：设置被拖到独立 pop-out 窗口时同样生效。
• 移动端支持：iOS / Android 均可使用，自动翻译、翻译缓存持久化、目标语言切换全部生效（manifest.json 已声明 isDesktopOnly: false）。
• 翻译缓存：译文经 Obsidian 跨平台文件接口持久化到 cache.json（桌面端与移动端均生效），相同文本跨会话 / 重启复用，不重复消耗 token。
• 自适应轮询：空闲时轮询自动降速，减少无谓开销。
• token 透明：设置页底部实时显示本次会话累计 token 消耗（提示词 / 补全 / 合计 / 调用次数）。
• 任意 OpenAI 兼容 API：支持本地（Ollama、LM Studio 等）与云端（DeepSeek、OpenAI、Kimi、通义千问、智谱等）服务，填完整 /chat/completions 地址即可。
• 调试模式：默认关闭；开启后可输出诊断文件，便于排查问题。

安装

• 方式一：BRAT（推荐）：安装社区插件 BRAT，在设置中添加 https://github.com/lindongyan1992/llm-settings-translator，然后启用本插件并配置端点与模型。
• 方式二：手动安装：下载最新 release 中的 main.js 和 manifest.json，放入 vault 的 .obsidian/plugins/llm-settings-translator/ 目录，重启 Obsidian 后启用。
• 方式三：移动端：Android 可手动放入（需支持显示隐藏文件的文件管理器）；iOS 需等官方社区库审核通过后在 App 内搜索安装。
• 方式四：官方社区库（审核中）：通过后可在设置 → 社区插件 → 浏览中直接搜索安装。

配置

使用说明

• 前提条件：LLM 可正常连接，可在插件设置页点击「测试连接」按钮确认在线。
• 自动翻译：打开任意设置弹窗后，约 2 秒内英文会自动翻译成目标语言。
• 手动触发：点击左侧功能区中的地球图标可手动触发翻译。
• 作用范围：只翻译设置弹窗内的文字，主界面与笔记正文不受影响。
• 省 token：翻译缓存已持久化（cache.json），相同文本跨会话 / 重启复用；空闲时轮询自动降速至 15 秒。

工作原理

1. 跨 document 探测设置弹窗根节点（支持 pop-out 独立窗口）。
2. 递归收集设置区域内的英文文本节点（跳过代码、输入控件、笔记编辑器等）。
3. 批量发送给 LLM 翻译（OpenAI 兼容协议，temperature=0），解析 JSON 映射后写回界面。
4. MutationObserver 守护 + 轮询兜底：Obsidian 重绘把英文刷回来时自动恢复中文。
5. 译文写入缓存，后续命中直接套用，不再请求模型。

开发

• 源码：src/main.js（CommonJS 单文件实现，无 TypeScript 依赖）。
• 构建：npm install → npm run build，esbuild 打包生成根目录 main.js。
• 开发模式：npm run dev（esbuild watch 模式，改源码自动重新打包）。
• 发布新版本：修改 src/main.js 后执行 npm version patch|minor|major（自动同步 manifest.json 与 versions.json）；git push --tags 触发 GitHub Actions 自动构建并创建 draft Release；在 GitHub Release 页面补充发布说明后点 Publish release 发布。
• 注意：根目录 main.js 是构建产物（已被 .gitignore 排除），修改请始终编辑 src/main.js。

许可

MIT