EnviousWispr：Mac 本地语音听写

Free, sub-second on-device AI dictation for macOS. Dual engines (Whisper + Parakeet) on Apple Silicon. Optional AI polish on your Mac wit…

EnviousWispr Talk naturally. Paste perfectly. Free, on-device AI dictation and speech-to-text for macOS. Powered by Apple Silicon. No cloud, no account, your voice never leaves your Mac. Demo ew-demo-tmp.mp4 What is this? EnviousWispr is a free AI dictation app for macOS that runs entirely on-device. It uses Whisper and Parakeet speech-to-text models on Apple Silicon to transcribe your voice locally, polishes the output with an optional LLM, and pastes clean text into whatever app you're working in. Transcription is sub-second; with optional AI polish, the full keybind-to-paste flow typically lands in around a second and a half. No cloud. No account required. No subscription. No audio ever leaves your Mac. Works fully offline. It is open source under the GPLv3, actively maintained, and built to be a tool you can rely on every day. Why EnviousWispr? EnviousWispr Cloud dictation services Privacy 100% on-device transcription Audio uploaded to servers Speed Sub-second transcription, paste-on-stop Network round-trip latency Models Parakeet Ultra (NVIDIA NeMo) + OpenAI Whisper (via transcribe.cpp) Single vendor model Polish Optional. Fully on-device (EG-1, S1-mini by Superwhisper, Apple Intelligence, Ollama) or bring-your-own-key cloud (OpenAI, Gemini, Claude) Cloud polish, included in subscription Cost Free. No account, no subscription Monthly subscription Works offline Yes, fully functional without internet No How it works Press keybind --> Record --> Transcribe --> Polish (optional) --> Paste ~0ms live ~400-800ms ~200-500ms instant Press your keybind from any app. Push-to-talk, toggle, or hands-free (double-press to lock for long-form), your choice. Speak naturally. Silero VAD detects when you stop talking and ends recording automatically. On-device transcription. Choose Parakeet Ultra (fastest, 25 European languages) or Whisper (99+ languages, with automatic language detection). AI polish (optional). Clean up grammar, punctuation, and formatting. Runs fully on-device with EG-1 (our own custom model), S1-mini by Superwhisper, Apple Intelligence (macOS 26+), or Ollama, or in the cloud via OpenAI, Gemini, or Claude with your own API key. Text lands in your clipboard and optionally auto-pastes into the active app. See the full interactive pipeline demo at enviouswispr.com/how-it-works Reliability is a feature Dictation is only useful if you can trust it mid-sentence, every time. EnviousWispr keeps the critical path (record, transcribe, paste) deliberately separate from every optional enhancement, so a hiccup in a "nice to have" can never swallow your words. When an optional step cannot run, you simply get your raw transcribed text instead of an error. What we hardened What it means for you Delivery survives non-critical failures If saving to your history cannot complete (full disk, permissions), your dictation is still pasted. The save is best-effort and never blocks delivery. Paste that actually lands A multi-step delivery path tries the fastest reliable method first and falls back automatically, so text lands even in apps that resist the usual paste (Word, Excel, Pages, Numbers, and more). Onboarding that won't leave you half-set-up Setup won't let you start until Accessibility is granted, and it re-checks if you later revoke permission. Clear answers when AI polish has a problem If a cloud or local model fails (OpenAI, Gemini, Ollama), you get a specific, plain-language message, and your raw text still arrives. Deterministic cleanup before AI For English, numbers, dates, and money are formatted by a fixed, predictable step, even when AI polish is off or unavailable. No silent freeze after idle The speech engine runs inside EnviousWispr itself, not in a separate helper macOS could shut down behind its back. A press after a long idle no longer stalls for a few seconds with nothing on screen; if the model was unloaded by your idle setting, the pill says it is getting dictation ready. Privacy-safe diagnostics Crash reports carry counts and context, never your dictations, transcripts or audio, and are redacted before they are sent. Hardened releases Every build is signed, notarized, and Gatekeeper-checked before it ships. Supported Models Model Best for Languages Disk space Runs on Parakeet Ultra Fastest dictation (default) 25 European languages ~630 MB Apple Neural Engine Whisper (Whisper Large v3 Turbo) Broadest language coverage and automatic language detection 99+ languages ~0.9 GB Apple GPU Both models run entirely on-device on Apple Silicon. Parakeet runs on the Apple Neural Engine through Core ML, which is what makes the default engine near-instant; Whisper runs on the GPU through transcribe.cpp (Metal) for broad-language accuracy. Models are downloaded separately and stored on your Mac. On-device AI polish Transcription gets your words down. AI polish cleans them up: it drops filler, fixes grammar and punctuation, and structures rambling speech into readable text. This step is optional, and by default it never leaves your Mac. Polish engine What it is Runs on Extra download EG-1 (recommended) Our own model, custom fine-tuned for dictation cleanup On-device, macOS 14+ ~2.9 GB (optional) S1-mini by Superwhisper A small open model for dictation cleanup, happiest in English, with Tone, Structure, and Context writing style settings On-device, macOS 14+ ~484 MB (optional) Apple Intelligence Apple's on-device model, no extra download On-device, macOS 26+ none Ollama Use a model on your Mac or one hosted by Ollama On-device or Ollama's servers varies for local models; none for hosted OpenAI / Gemini / Claude Bring-your-own-key cloud polish, text only Cloud (your key) none EG-1 is our own AI model, fine-tuned specifically for dictation cleanup and optimized for Apple Silicon. It runs entirely on your Mac with no internet required, and it closes the gaps a general on-device model leaves: reliably turning a spoken list into a real list, splitting a wall of speech into clean paragraphs, and keeping