Questions and inquiries about RocketWhisper for Mac.
We offer a 7-day free trial with full functionality.
Speech recognition works completely offline after the initial model download. No internet connection required.
For AI processing features, it depends on the provider:
Nowhere. All speech recognition processing is completed on your Mac.
When using AI formatting features, only the recognized text (not audio data) is sent to cloud APIs. Using Local LLM keeps everything fully offline.
Accuracy varies by model:
For Japanese speech recognition, Large V3 Turbo or higher is recommended. Small/Medium may have reduced accuracy for kanji and katakana words.
Registering technical terms in the word dictionary can further improve accuracy.
Apple Silicon is recommended, but it works on Intel Macs too. However, processing speed will be slower without Neural Engine. Small or Medium models are recommended for Intel Macs.
Yes. The following languages are supported:
Yes. Recognition results can be saved and used in the following ways:
Register technical terms in the "Word Dictionary" tab in settings. Pre-registering company names, personal names, acronyms, and technical terms that are hard to recognize will significantly improve accuracy.
You can also set up auto-correction rules for misrecognition patterns in the "Correction Rules" tab. Regex is supported.
In the "App-Specific" tab in settings, you can configure different processing modes for each app. For example, use punctuation and AI formatting for text editors, and casual mode for chat apps.
Check Accessibility permissions.
System Settings → Privacy & Security → Accessibility - Grant accessibility permission to RocketWhisper.
Restart the app after granting permission for it to take effect.
macOS 14.0 (Sonoma) or later is required. Apple Silicon Mac (M1/M2/M3/M4) is recommended.
For questions or requests about RocketWhisper for Mac, please contact us at:
support@mojosoft.biz
If you find a bug, please include the following information in your report.
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RocketWhisper for Mac uses the following open source projects.