LLM Translator 作者: Leo
LLM-Translator is a browser extension that uses the OpenAI-like API for translation.
您需要 Firefox 来使用此扩展
扩展元数据
屏幕截图
关于此扩展
# Features
1. It offers three modes: translation, polishing and summarization.
2. Our tool allows for mutual translation, polishing and summarization across 55 different languages.
3. Streaming mode is supported!
4. It allows users to customize their translation text.
5. One-click copying
6. Text-to-Speech (TTS)
7. Available on all platforms (Windows, macOS, and Linux) for both browsers and Desktop
8. Support screenshot translation
9. Support for vocabulary books, as well as support for generating memory aids based on the words in the vocabulary books
10. Supports both OpenAI and Azure OpenAI Service at the same time
1. It offers three modes: translation, polishing and summarization.
2. Our tool allows for mutual translation, polishing and summarization across 55 different languages.
3. Streaming mode is supported!
4. It allows users to customize their translation text.
5. One-click copying
6. Text-to-Speech (TTS)
7. Available on all platforms (Windows, macOS, and Linux) for both browsers and Desktop
8. Support screenshot translation
9. Support for vocabulary books, as well as support for generating memory aids based on the words in the vocabulary books
10. Supports both OpenAI and Azure OpenAI Service at the same time
为您的体验打分
权限详细了解
此附加组件需要:
- 存取您在所有网站的数据
此附加组件可能也会要求:
- 存取您在 openai.com 域名的数据
- 存取您在 openai.azure.com 域名的数据
- 存取您在 ingest.sentry.io 域名的数据
- 存取您在 googletagmanager.com 域名的数据
- 存取您在 google-analytics.com 域名的数据
- 存取您在 minimax.chat 域名的数据
- 存取您在 githubusercontent.com 域名的数据
- 存取您在 baidu.com 域名的数据
- 存取您在 microsoft.com 域名的数据
- 存取您在 google.com 域名的数据
- 存取您在 googleapis.com 域名的数据
- 存取您在 moonshot.cn 域名的数据
- 存取您在 volces.com 域名的数据
- 存取您在 chatglm.cn 域名的数据
- 存取您在 cohere.ai 域名的数据
- 存取您在 deepseek.com 域名的数据
- 存取您在 speech.platform.bing.com 的数据
- 存取您在 api-edge.cognitive.microsofttranslator.com 的数据
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0.4.31 的发布说明
fix: lock @tauri-apps/plugin-global-shortcut
feat: optimize prompts (#1634)
feat: optimize prompts (#1634)
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