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Translate 0.2.4 reduces backend memory use while typing and while idle.
- About half the backend memory in the matched test. WeChat Input Method uses a small native observer instead
of loading Frida by default. Backend working set was about 59 MiB instead of 117 MiB during typing and idle in a
73-second comparison. These figures exclude the interface and input-method processes; actual use varies. - Bounded candidate queues. If observation falls behind, Translate clears old candidates and waits for a fresh
composition before allowing insertion. It reconnects automatically after WeChat Input Method restarts. - The same interface and shortcuts. Candidate reading, translations and Alt+1 insertion were verified with both
WeChat Input Method and Microsoft Pinyin. Microsoft Pinyin keeps its full UI Automation implementation.
Quit the old app from Settings > About, unzip Translate-0.2.4-win-x64.zip, and run Translate.exe.
Your settings and saved API keys carry over.