Skip to content
| Marketplace
Sign in
Visual Studio Code>Other>Markdown Zh TranslatorNew to Visual Studio Code? Get it now.
Markdown Zh Translator

Markdown Zh Translator

David Ziyuan Zhang

|
24 installs
| (0) | Free
Translate Markdown files to zh-CN inside VS Code.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Copied to clipboard
More Info

Markdown Zh Translator

Translate a saved Markdown document, or any saved .md file, into *.zh-CN.md inside VS Code.

Features

  • Adds two editor title actions for eligible Markdown editors or .md files.
  • Adds a force-refresh action when you want a brand new translation instead of a cache or local blob restore result.
  • Sends the entire source Markdown document in one chat/completions request.
  • Expects the model to return one outer markdown fenced block.
  • Reuses an existing translated file when the cache is still valid.
  • Restores a deleted translated file from the persistent local blob cache when the source and config still match.
  • Refuses to overwrite a translated file that has unsaved editor changes.
  • Can optionally delete the workspace .zh-CN.md file when the translated document closes, while keeping the local blob cache.

Configuration

Set these settings in VS Code:

  • markdownTranslator.model
  • markdownTranslator.baseUrl (optional; defaults to https://api.openai.com/v1)
  • markdownTranslator.requestTimeoutMs
  • markdownTranslator.systemPrompt (optional)
  • markdownTranslator.localBlobCacheMaxBytes (optional; defaults to 10485760)
  • markdownTranslator.deleteTranslatedOnClose (optional; defaults to false)

Store the API key with the command:

  • Markdown Translator: Set API Key

Clear the API key with:

  • Markdown Translator: Clear API Key

Response Contract

The model should return exactly one outer fenced block using 5 backticks:

`````markdown
<translated markdown>
`````

The extension extracts only the Markdown inside the unique outer fence. It accepts either markdown or md as the info string. JSON, malformed fences, or responses with zero or multiple candidate fences are rejected. If the model adds a little noise before or after the unique fence, that noise is discarded.

Development

npm install
npm run lint
npm run compile
npm test

Run the extension with F5 in VS Code.

  • Contact us
  • Jobs
  • Privacy
  • Manage cookies
  • Terms of use
  • Trademarks
© 2026 Microsoft