Private Mac dictation,
actually private.
"Privacy-first dictation" has become marketing-speak. Wispr Flow's privacy page documents that audio is processed by Baseten and routed through OpenAI, Anthropic, and Cerebras. Apple Dictation may "process audio or transcripts on Apple servers in some cases." If you actually want voice-to-text where the audio never leaves your Mac, here are the apps that clear that bar — and the architectural reasons behind it. Dollop is at the top: on Apple Foundation Models, which run entirely in macOS, with the strongest privacy posture currently available.
Privacy in dictation isn't a checkbox — it's an architectural property. Here are the four questions that separate genuinely private dictation tools from marketing claims.
Not "is it encrypted in transit." Not "do they delete it after." The bar is: does the audio ever touch a server. If yes, the privacy story has a third party in it. If no, you can verify it with Little Snitch or the Network tab in Activity Monitor.
Some "on-device" apps still phone home for telemetry, license checks, or cloud-fallback features. The strongest privacy posture is one where the dictation flow itself makes no network calls — only updates and licensing do, and you can audit them separately.
Wispr Flow was caught capturing screenshots for "context awareness" in early 2026. Some apps now offer this opt-in (Dollop's Screen Context flag is off by default and OCR happens on-device). The question is whether the context capture and the cloud routing are both yours to control.
Apps using cloud LLMs (Wispr Flow, Cluely) outsource the model to third parties. Apps using local Whisper own and ship the model themselves. Apps using Apple Foundation Models inherit Apple's on-device guarantees and audit trail — the most established privacy posture currently available.
Most comparison pages list ten features. Three of them matter when you're actually switching.
- Where does the audio go?
- On-device means your voice and the transcript stay on the Mac you're typing on. Cloud means audio is uploaded, transcribed remotely, and the text is downloaded back — usually with no way to know which providers see it on the way through. This is load-bearing for anyone touching client work, regulated content, or proprietary information.
- How much RAM does it actually take?
- The forgotten metric. "On-device" doesn't mean "free" — Whisper-based tools load 700 MB to 3 GB into memory while running. If you already have Cursor, Chrome, Slack, and a Docker container open, that matters. Apple Foundation Models is the only path right now to real on-device dictation at 0 GB.
- How clean is the cleaned text?
- Raw transcription is a solved problem — Whisper, Parakeet, and Apple's models are all excellent. The differentiator is what happens after: filler removal, punctuation, formatting commands, tone-matching to the active app. A tuned dictation model beats a generic LLM polish step every time.
| Tool | RAM | Audio leaves Mac? | Pricing | Cleanup |
|---|---|---|---|---|
| Dollop | 0 GB | Never | Free | Tuned LoRA |
| Superwhisper | ~1.5 GB | Optional | $249 once | Generic LLM |
| Voibe | ~700 MB | Never | $9.90/mo | Whisper + rules |
| VoiceInk | ~2 GB | Never | Free / open-source | Optional |
| MacWhisper | ~1–3 GB | Never | €64 once | File-based |
| LumeVoice | ~700 MB | Never | Subscription | Whisper |
| Apple Dictation | ~0 GB | Never (Ventura+) | Free (built-in) | None |
RAM figures are approximate, measured at idle with the smallest model loaded. Dollop uses Apple Foundation Models — the OS keeps the model warm independently of the app, so the app itself contributes 0 GB beyond the OS baseline.
| Feature | Dollop | Voibe | VoiceInk | Superwhisper | wisprflow | apple |
|---|---|---|---|---|---|---|
| Audio never leaves Mac | ● | ● | ● | ◐ | ○ | ◐ |
| No third-party AI provider | ● | ● | ● | ◐ | ○ | ● |
| Verifiable with Little Snitch | ● | ● | ● | ◐ | ○ | ● |
| No network call in dictation path | ● | ● | ● | ◐ | ○ | ◐ |
| Open-source / auditable | ○ | ○ | ● | ○ | ○ | ○ |
| Resident RAM | 0 GB | ~700 MB | ~1-2 GB | ~1.5 GB | ~700 MB | 0 GB |
| Price | Free | $9.90/mo | Free | $249 | $15/mo | Free |
● Yes · ◐ Partial · ○ No. Verified May 2026.
Dollop
Dollop is the voice OS I built for the Mac. It does four things, all on-device, all free: dictation (clean text pasted at your cursor in any app), an AI chat overlay (multi-turn, optionally screen-aware) for asking questions or rewriting, Little Overlay (⌃ A — a tiny floating glass pill that hears your selection, sees your screen, and answers in place for the one-shot question that doesn’t need a chat thread), and Meeting Notes (record and transcribe lectures, calls, and meetings with summaries and action items, fully on-device). It runs on Apple Foundation Models, the on-device LLM Apple ships with macOS 26, and ships with a tuned cleanup adapter trained specifically for the way people actually speak. Because Apple already keeps the foundation model warm in the OS, Dollop contributes 0 GB to your RAM footprint. Your audio never leaves the Mac. Completely free.
- Four pillars in one app: dictation, AI chat, Little Overlay, Meeting Notes
- Only Mac dictation app on Apple Foundation Models
- 0 GB RAM cost, the OS hosts the model
- Tuned cleanup adapter, not a generic polish step
- Meeting Notes: record + transcribe + summarize on-device
- Per-app tone (Casual / Formal / Excited)
- Completely free, no subscription, no premium tier
- Apple Silicon + macOS 26 only, no Intel, no Windows
- Apple Intelligence must be enabled
- New product, smaller community than Wispr or Superwhisper
Voibe
Voibe leans hard on the privacy angle and earned the position. 100% on-device using local Whisper models, no audio upload, written commitment to never train on user dictation. Subscription pricing ($9.90/month).
- 100% offline
- Sub-300ms latency
- No training on user audio
- Strong privacy positioning
- $9.90/mo subscription
- ~700 MB Whisper RAM
- No tuned cleanup adapter
VoiceInk
Open-source under MIT — you can read the entire codebase, including the dictation pipeline. 100+ languages, runs Whisper locally. The strongest "trust through verification" pick.
- Free, auditable
- 100+ languages
- Active GitHub community
- 1–2 GB Whisper RAM
- Cleanup is optional
- Setup curve
Superwhisper
Mature commercial alternative. $249 one-time, ~1.5 GB RAM, optional cloud mode (off by default). Strong privacy posture if you keep it on local Whisper.
- $249 up front
- Cloud mode exists (must verify it's off)
- 1–3 GB RAM
MacWhisper
File-based transcription rather than live dictation. €64 one-time, fully local Whisper. Useful as a complement to a live dictation app.
Apple Dictation
Built into macOS Ventura+. On-device for supported languages — but Apple does note that some processing may happen on servers in some cases. Useful as a fallback; Dollop runs on the same Apple foundation but adds the cleanup, context, and per-app behavior.
- Apple may process some audio on servers
- No cleanup or formatting commands
Hard requirement: Dollop runs on Apple Silicon Macs with macOS 26 or later. Most Macs sold since 2021 qualify. If you're on Intel, that's the constraint to plan around.
What is the most private Mac dictation app in 2026?
How can I verify a dictation app is actually on-device?
Is HIPAA-compliant Mac dictation possible?
What does Dollop actually do?
How much does Dollop cost?
Does Dollop work without an internet connection?
Can Dollop record and transcribe meetings or lectures?
Will Dollop work on Intel Macs?
Can I dictate into Cursor, VS Code, Slack, and other apps?
Does Dollop log my dictations?
Is Apple Dictation private enough?
If privacy is the bar, Dollop is the strongest pick on Apple Silicon Macs running macOS 26. It uses Apple Foundation Models — the in-OS LLM with the most established on-device guarantees in the industry — and adds nothing on top: 0 GB of RAM, no network calls in the dictation path, no third-party services.
Voibe and VoiceInk are also genuinely on-device and worth considering if Dollop's hardware requirement doesn't fit. Anything that uploads your audio — Wispr Flow, Cluely, cloud-mode Superwhisper — is a different conversation.