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Linglens

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Overview

Select any term on a page; get it explained in your language, grounded in the page — with your own API key. BYOK, private.

Linglens explains a word or phrase you select on any web page — in the language you read best, grounded in the page you're reading, using your own LLM API key. You know the word; what you don't know is what a term means HERE — "runner" in a CI doc, "sink" in a streaming doc, "hydration" in a frontend doc. Highlight it, click the icon, and Linglens explains it in context. WHY LINGLENS • Your language — explanations come back in the language you configure (English, 中文, 日本語, and more), not just English. • Your key, your control — bring your own key: OpenAI, Anthropic, Google Gemini, DeepSeek, or any OpenAI-compatible endpoint, including a local model that never leaves your machine. Real provider-reported token counts are shown per explanation. • A conversation — ask a follow-up right in the popup and keep the thread. PRIVATE BY DESIGN No accounts, no servers, no tracking. Your key and data stay on your device; requests go straight from your browser to the provider you choose. A selection alone sends nothing — only clicking the icon calls the LLM, so an accidental highlight never costs a token. Open source. Bring your own key.

Details

  • Version
    0.1.1
  • Updated
    July 16, 2026
  • Size
    115KiB
  • Languages
    English
  • Developer
    Gong Zhang
    19 Baurea Cl Edgeworth, NSW 2285 AU
    Email
    gongzhang67@gmail.com
    Phone
    +61 480 226 260
  • Trader
    This developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.

Privacy

Manage extensions and learn how they're being used in your organization

Linglens has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

Linglens handles the following:

Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes
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