Off-the-shelf dictation models are trained on a narrow slice of speakers, then quietly fail on everyone else. We did not want that. So a meaningful chunk of QuillMic's development went into the things that decide whether your accent gets respected:
- Model curation. Whisper, Parakeet, and the OpenAI tier are picked for accent coverage first, raw WER second.
- Vocabulary you control. Names, places, jargon, code-switched words — all addable so the model stops Anglicising what you actually said.
- Per-language polish. The deterministic clean-up step is tuned per-locale, so it does not "fix" your phrasing into something it isn't.
- Honest fallbacks. When a smaller model is loaded, QuillMic tells you and offers to upgrade. No silent guessing.
Accent quality scales with the model you load. The Best preset — FluidAudio Parakeet on a 16 GB+ Apple silicon Mac, or gpt-4o-transcribe in the cloud — is where the heavy work shows. Lighter presets are still solid, just lighter.