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SeoFood

Thank you for testing TypeWhisper and the different models so thoroughly, and for sharing the results. Comparing several engines across multiple languages is already valuable; going one step further and building a faster Whisper Large v3 plugin is a real contribution.

This is exactly why I made TypeWhisper’s engine and plugin layer extensible. The best setup depends heavily on language, hardware, and workload. Your result that Large v3 can run close to Parakeet speeds on a modern Mac is especially interesting, as is your fully local Whisper plus Gemma correction workflow.

If you’re comfortable sharing the plugin or benchmark setup, I’d be very interested in taking a closer look and seeing whether it could benefit more users. Either way, thank you for putting so much time into this and contributing your findings back to the project.

Show HN: TypeWhisper – speech-to-text with multiple engines, profiles

https://www.typewhisper.com/

Hey HN, I'm Marco, the creator of TypeWhisper.TypeWhisper is a free, open-source speech-to-text app for macOS and Windows. Everything runs locally on your machine - no cloud, no telemetry, no data collection. Your voice never leaves your device.What makes it different:- Multiple engines, your choice: On macOS: WhisperKit, Parakeet TDT, Apple SpeechAnalyzer. On Windows: Parakeet TDT, Canary 180M...

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