stormzhang

stormzhang / ai-translate

Public

AI translate tool for Claude Code, Codex, OpenCode & Cursor. One-line install, multi-language support with speech.

16
2
100% credibility
Found May 05, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

ai-translate is a simple add-on for AI coding tools that lets users translate words, phrases, or sentences between Chinese and other languages directly in their workspace, with optional speech playback.

How It Works

1
🔍 Find the translation helper

While working in your AI coding app and needing to understand a tricky word, you discover ai-translate, a simple tool that brings translations right inside your workspace.

2
đź“Ą Run the quick setup

Copy one easy line and paste it into your computer's command spot, and it downloads everything you need.

3
âś… It spots your coding app

The tool automatically finds your favorite AI coding helper and adds the translation feature perfectly, asking if you want to update if it's already there.

4
đź’¬ Type to translate

In your coding app, simply type /t followed by any word or phrase, like /t run, and get clear meanings, examples, and Chinese translations instantly.

5
🔊 Add voice for pronunciation

Use /ts instead to hear the word spoken aloud by your computer after seeing the translation, helping you learn how it sounds.

🎉 Translate effortlessly while coding

Now you can understand English coding terms or translate to Chinese on the fly without switching apps, making your coding sessions smoother and more fun.

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AI-Generated Review

What is ai-translate?

ai-translate is a shell script that installs translation commands into AI coding tools like Claude Code, Codex, OpenCode, Cursor, and Windsurf with one curl | bash line. It lets you type /t word (or $t in Codex) for instant AI-powered bilingual translation—Chinese to English or any language to Chinese—right in your tool, powered by its built-in LLM. Use /ts for the same plus text-to-speech playback via system voices.

Why is it gaining traction?

Zero setup beyond the install: no APIs, no deps, just prompts that tap the LLM you already have. Stands out with polysemy support (up to five meanings per word), auto-language detection, markdown formatting, and context-aware explanations for tool-specific terms like "hook." The TTS for pronunciation seals it for quick, hands-free learning without leaving your editor.

Who should use this?

Bilingual devs in AI coding setups, like Chinese engineers debugging English docs in Cursor or Claude Code. Suited for on-the-fly lookups of technical terms, sentences from READMEs, or commands—think frontend folks translating API refs or backend coders practicing pronunciations during late-night sessions.

Verdict

Grab it via one-liner if you run supported tools; clean docs and multi-platform TTS make it practical despite 16 stars and 1.0% credibility score signaling early maturity. Test speech on non-macOS first—solid niche win for workflow tweaks.

(178 words)

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