If you've been hand-rolling Whisper.cpp scripts, building Python pipelines, or wrangling SwiftWhisper bindings — stop. Neuron Flame ships whisper.cpp embedded with a full UI, model picker, and a workflow built around the actual job: dictating into apps and transcribing files.
Free · Open source · GPL-3.0 · 100% on-device by default
Most people install Neuron Flame for live push-to-talk dictation. But the Transcribe Audio tab handles batch file work too:
If you've ever tried to "just run Whisper on my Mac", you know the friction:
Neuron Flame ships whisper.cpp as a bundled framework, downloads models from the AI Models tab, and gives you a UI shaped around real dictation + transcription tasks. Total setup is under 60 seconds.
If you want to inspect what's happening — confirm models live in your Application Support folder, see exactly what arguments are passed to whisper.cpp, audit network calls — the source is on GitHub. GPL-3.
whisper.cpp + Parakeet + a UI, packaged as one DMG.
Download Neuron FlameIf you only speak English on Apple Silicon: Parakeet V2 (default). If you need other languages: Whisper Small for speed, Whisper Medium for accuracy, Whisper Large v3 Turbo for the best of both. Avoid Whisper Tiny / Base unless you're testing — accuracy is noticeably worse.
Yes — drop it into ~/Library/Application Support/com.neuronflame.app/Models/ and Neuron Flame will pick it up on next launch. Same format as plain whisper.cpp expects.
Roughly the same — Neuron Flame uses whisper.cpp as the underlying library. The win is workflow: live audio capture, paste-at-cursor, history, search, custom dictionary, batch processing — all the stuff you'd otherwise wire up by hand.
Whisper uses Metal on Apple Silicon (and CoreML for the encoder if available). Parakeet V2 runs on the Apple Neural Engine via FluidAudio. Both are noticeably faster than CPU-only paths.