Most consumer dictation tools either send audio to the cloud for accuracy or sacrifice responsiveness to stay local. FluidVoice flips that trade-off by combining several low-latency STT engines with an optional, locally running enhancement model so you get near-instant insertion plus context-aware polishing without sending data off your Mac.
What Sets It Apart
- Low-latency, multi-engine approach: supports Parakeet (near-instant English), Nemotron, Cohere, Apple Speech and Whisper. So what: pick a model based on latency vs. accuracy and swap quickly during onboarding.
- Local AI enhancement (Fluid Intelligence): a private, on-device post‑processing runtime trained on dictation data for smart capitalization, punctuation and formatting. So what: transcripts look like edited text immediately, not raw ASR output, while audio and text remain local.
- Live preview + system integration: notch-aware overlay, smart typing via accessibility APIs and per-app prompt configuration. So what: you can dictate directly into any app with contextual behavior per target app.
- Privacy-first defaults: analytics are opt-in and core flows keep audio/text on-device. So what: suitable for sensitive workflows where cloud transcription is unacceptable.
Who It's For & Trade-offs
Great fit if you need private, fast dictation on macOS (writers, accessibility users, power note-takers) and want optional local AI polish without cloud dependencies. Look elsewhere if you need a fully cross-platform, server-hosted transcription fleet, or if you only have Intel macs and require the highest-accuracy large Whisper models (those run but with higher resource cost). Also note Fluid Intelligence is currently a private, optional runtime with a ~3.5 GB model footprint and RAM requirements when active.
Where It Fits
Positioned between built-in OS speech (zero-download but limited formatting) and cloud-hosted services (high accuracy, remote processing). FluidVoice aims to deliver near-cloud convenience with local privacy and near-real-time responsiveness on modern Macs.
