
Local, private dictation for macOS developers, turning speech into text instantly.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Ensures privacy as audio and transcripts never leave the Mac
Biggest con
Requires macOS 14+ and Apple silicon
TL;DR - Phantom Voice
- Local dictation for macOS, keeping audio and transcripts private on your device.
- Push-to-talk functionality for seamless speech-to-text insertion in any app.
- One-time purchase with no subscription, offering a 14-day free trial.
Pricing: Paid only
Best for: Enterprises & pros
What is Phantom Voice?
Phantom Voice is a macOS application designed for developers that provides local, system-wide dictation. It allows users to convert spoken words into text directly within any application by holding a designated key (e.g., 'fn'), speaking, and then releasing the key. A core benefit is its privacy-focused architecture: all transcription happens on the user's Mac, ensuring audio and transcripts never leave the device and can even work offline after the initial model download.
The tool is particularly useful for developers, enabling them to dictate code, terminal commands, documentation, and chat messages without relying on cloud services. It offers customizable visual indicators (HUD styles) to show listening and transcribing states, with some styles included and others available as one-time add-ons. Phantom Voice is a one-time purchase with no subscriptions, and it includes a 14-day full-featured trial.
Pros & Cons
Pros
- Ensures privacy as audio and transcripts never leave the Mac
- Works offline after initial model download
- Seamless integration into any macOS application
- One-time purchase with no recurring subscription fees
- Low CPU usage when idle and quick start-up for dictation
Cons
- Requires macOS 14+ and Apple silicon
- Currently only supports English transcription
- Some HUD styles are additional one-time purchases
Key Features
Local transcription (on-device)System-wide dictation in any appPush-to-talk activation (e.g., 'fn' key)Customizable visual HUD indicators (listening/transcribing states)Offline dictation capability (after model download)Supports English language transcriptionChoice of speech models (Base, Small, Medium, Large v3 Turbo)Optional local cleanup for punctuation and personal dictionary
Pricing
Paid
Phantom Voice offers paid plans. Visit their website for current pricing details.
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Phantom Voice FAQ
What are the specific system requirements for running Phantom Voice?
Phantom Voice requires macOS 14 or later and an Apple silicon Mac. It also needs Microphone, Accessibility, and Input Monitoring permissions to function correctly system-wide.
How does Phantom Voice ensure the privacy of my dictation data?
All dictation audio and transcribed text remain entirely on your Mac. The speech model is downloaded once and then operates locally, meaning your voice data is never sent to the cloud.
Can I use Phantom Voice to dictate in applications like code editors or terminals?
Yes, Phantom Voice is designed to insert finished transcripts into any focused text field system-wide, making it suitable for code editors, terminals, issue trackers, documents, and chat applications.
What is 'local cleanup' and how does it enhance the dictation experience?
Optional local cleanup is a feature that refines punctuation in your transcribed text and can apply your personal dictionary, helping to improve the accuracy and formatting of the dictated output.
Are the additional HUD styles like 'Retro Dog' or 'Real Revolver' included with the main purchase?
No, while 'White Wave' and 'Retro Fox' HUD styles are included with the main Phantom Voice purchase, 'Retro Dog', 'Real Revolver', and 'Piano Keys' are separate one-time add-on purchases, each costing $3.
Does Phantom Voice consume significant system resources when not actively dictating?
When idle, the native menu-bar agent uses near-zero CPU. Its selected whisper.cpp context remains resident after warm-up for quick dictation starts, and memory usage depends on the specific speech model chosen.
Source: leftinverse.com