Feature comparison

An honest look at how the two tools stack up across the dimensions that matter most.

EnviousWisprWillow Voice
PriceFree to use. No subscription.Free tier (unlimited, weaker model), then $12/mo*
Account requiredNoYes
Audio processingOn-device (Apple Silicon)Cloud-based
Audio leaves your deviceNever. Audio stays on your Mac. If you enable cloud AI polish, only the text transcript is sent.Yes, audio sent to servers
Works offlineYes for transcription (after models download)No
AI polishEG-1, Ollama on-device, Apple Intelligence on-device (macOS 26+); OpenAI, Gemini, or Claude with your own keyAI rewrite and style matching (cloud)
Offline AI polishYes via EG-1, local Ollama models, or Apple Intelligence (macOS 26+)No (cloud-dependent)
Speech enginesParakeet TDT + WhisperKit (on-device)Cloud speech API
Custom vocabularyYes with phonetic matching and regex-powered word correctionYes (dictionary customization)
Filler word removalYes (automatic "um", "uh", "like" removal)Not specified
Writing style controlYes (six AI providers: EG-1, Ollama, Apple Intelligence on macOS 26+, OpenAI, Gemini, Claude; voice-preserving polish)Yes (style matching, AI mode)
Clipboard preservationYes, when enabled and no other app changes the clipboard firstNot specified
Text lands in the right appYes (captures target app at recording start, re-activates before paste)Not specified
AI hallucination safeguardsYes (length validation, preamble stripping, short-text bypass)Not specified
Auto-stop on silenceYes (VAD-based, configurable sensitivity)Not specified
PlatformsmacOS only (Apple Silicon)Mac, Windows, iOS (Android coming soon)
Multi-language25 European (Parakeet), 99+ languages via WhisperKit100+ languages
Enterprise complianceNot applicable (single-user, on-device)SOC 2, HIPAA (Business tier and above)
Source codeOpen source on GitHub (GPLv3)Closed source
Transcription latency0.61s median; ~1.65s with on-device AI polishDepends on network + server load

*Based on Willow Voice's public pricing page, last checked August 2026 ($12/mo billed annually for the Pro plan). EnviousWispr latency from production PostHog data on Apple Silicon Macs, 30-day trailing median. Willow Voice claims source-verified from willowvoice.com; not firsthand-tested. "Not specified" means the feature is not documented on their public site. Competitor claims last verified: 2026-08-21.

Download Free

Why Mac users switch from Willow Voice

Willow Voice is cloud-first with a subscription model. EnviousWispr was built around a different premise: your voice data belongs on your device.

$0
Free, no caps

No subscription, no word limits, no freemium tiers. Willow Voice limits its free tier to a weaker model and 20 Scribe uses/week. The paid plan costs $12/mo billed annually, or $144 per year. EnviousWispr is free with no limits.

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On-device by design

Willow Voice processes audio on cloud servers. EnviousWispr processes every recording on your Mac's Neural Engine. Privacy is the architecture, not an option. See how the pipeline works.

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Fast local transcription

Median time to text is 0.61s on Apple Silicon. With AI polish, 1.65s. No network round-trips, no server queues. Immune to bad Wi-Fi, VPN latency, or cloud outages.

๐Ÿšซ
No account, no signup

Download, open, start dictating. EnviousWispr never asks for your email, never requires a login, never phones home. No trial period, no conversion nag.

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Your choice of AI polish

EG-1 and Ollama run entirely on-device, and so does Apple Intelligence on macOS 26+. Want cloud speed? Bring your own OpenAI, Gemini, or Claude key. You control which services touch your text, if any.

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Auditable code

Every line is on GitHub under GPLv3. Verify what it does. Report issues directly. Contribute improvements. Closed-source dictation tools ask you to trust their privacy claims on faith.

The details that make dictation reliable

Cloud dictation tools outsource the hard problems to servers. EnviousWispr solves them locally, and the result is a more dependable workflow.

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Your text always lands where it should

Cloud dictation has a timing problem. While your audio uploads, transcribes, and returns, you might switch apps, click a different field, or start reading something else. When the text finally arrives, it can paste into the wrong place or overwrite your clipboard.

EnviousWispr captures which app and which text field had focus when you started recording. After transcription, it re-activates that exact app and inserts text directly via the Accessibility API. If direct insertion fails, it falls back to an ordinary paste, then to the app's own Edit > Paste menu. If all three fail, your text stays on the clipboard so you can paste it yourself.

How it works: Three delivery attempts in order (direct insertion, ordinary paste, app's Edit > Paste menu), then clipboard-only if all fail, with clipboard snapshot and restoration on the paste-based routes. Target app reactivation uses Accessibility API force-activation to bypass macOS background process restrictions.
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AI polish that does not fabricate

When you run speech through an LLM for cleanup, there is a real risk: the AI can hallucinate extra sentences, "answer" your dictation as if it were a question, or inject preamble like "Certainly! Here is the corrected text." These are not theoretical problems. They happen with basic LLM integrations.

EnviousWispr uses three layers of defense. Short transcripts (three words or fewer) bypass the LLM entirely because there is nothing to polish. Medium transcripts get aggressive prompt reinforcement to prevent creative expansion. All output is validated: if the response is more than three times longer than the input, it is rejected as probable hallucination and the raw transcript is used instead.

How it works: Sandwich framing wraps transcript in <transcript> tags to prevent prompt injection. Preamble stripping removes "Certainly!" artifacts. Context-aware prompts include detected language, ASR error patterns, and target app name. Output length validation rejects fabricated responses.

Where does your voice go?

The most important question for any dictation tool. Here is the data flow for each app. For a deeper dive, read on-device vs cloud dictation privacy.

EnviousWispr
1
You speak into your Mac's microphone.
2
Audio is processed by the Neural Engine on your Apple Silicon chip. Nothing is uploaded.
3
AI polish runs locally or with your own API key. If you use a cloud provider, only the text transcript is sent; you control the key.
4
Polished text is pasted. Audio is discarded. No logs, no telemetry on your content.
Willow Voice (default mode)
1
You speak into your microphone.
2
Audio is sent to Willow Voice's cloud servers for transcription.
3
Transcribed text is processed by a cloud LLM for AI rewrite and style matching.
4
Polished text is returned over the network and pasted on your device.

Fast because there is no upload step

On Apple Silicon Macs, EnviousWispr transcribes speech locally. No network round-trip before text appears.

0.61s
Median transcription
From end of speech to raw text
1.65s
With AI polish
EG-1 or Apple, on-device
0ms
Network overhead
Immune to bad Wi-Fi

Based on production data from Apple Silicon Macs. Results vary by hardware and settings.

Choose Willow Voice if you need cross-platform or enterprise compliance

Willow Voice is a well-funded, YC-backed product with broad platform support and enterprise features. It may be a better fit in these situations:

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You need cross-platform support

Willow Voice runs on Mac, Windows, and iOS, with Android coming soon. EnviousWispr is macOS only. If you dictate across multiple operating systems, Willow covers more of them today.

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Your team needs enterprise compliance

Willow Voice offers SOC 2 and HIPAA compliance on its Enterprise tier, with team pricing at $10/mo per seat. EnviousWispr is a single-user desktop app without enterprise certifications.

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You dictate in many languages daily

Willow Voice supports 100+ languages through its cloud engine with automatic grammar and formatting. EnviousWispr's fast engine (Parakeet) covers 25 European languages with no language setting to pick, and WhisperKit covers 99+ but with higher latency on less common ones.

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You want voice commands built in

Willow Voice supports formatting voice commands like "dash," "new line," and "bullet point" natively. EnviousWispr focuses on natural dictation with AI polish handling formatting, rather than explicit voice commands.

If you are Mac-first and care most about privacy, offline transcription, and price, give EnviousWispr a try.

Common questions

Is there a free alternative to Willow Voice?

Yes. EnviousWispr offers on-device transcription on Apple Silicon Macs, completely free, with no account, no word limits, and no subscription required. It works offline and keeps your audio on your device.

Is EnviousWispr really free with no limits?

Yes. No subscription, no usage caps, no word-per-week limits. Willow Voice's free tier is unlimited on its weaker model, but its premium Scribe feature is capped at 20 uses per week. EnviousWispr has no such restriction. The source code is open source on GitHub under the GPLv3 license.

Does Willow Voice work offline?

Willow Voice is cloud-based and requires an internet connection for transcription. EnviousWispr was built on-device from the start. Parakeet TDT and WhisperKit run natively on Apple Silicon, delivering 0.61s median latency without any cloud dependency.

Does EnviousWispr work offline?

Transcription runs entirely on-device and works without internet. AI polish requires an LLM; you can use a local model for fully offline operation or bring your own API key for a cloud provider.

Will my audio be used for training?

No. Your audio is processed on your Mac and discarded after transcription. It never leaves your device, so it cannot be used for anything else.

Can I switch from Willow Voice easily?

Yes. Download EnviousWispr, set your keybind, and start dictating. There is no data to migrate. Both apps work in any text field on macOS. See the 2-minute getting started guide.

What Mac do I need?

Any Mac with Apple Silicon (M1 or later) running macOS 14 Sonoma or newer. The Neural Engine on Apple Silicon is what makes on-device transcription fast.

Does EnviousWispr use the cloud at all?

Transcription is always on-device. If you choose to enable AI polish with a cloud provider (OpenAI, Gemini, or Claude), only the text transcript is sent using your own API key. You can also polish with a local model for fully offline operation. The choice is yours.

Is EnviousWispr open source?

Open source under the GNU General Public License v3 (GPLv3), an OSI-approved license. You can read, build, inspect, and contribute to every line of code on GitHub. Contributions are welcome.

How does EnviousWispr handle filler words like "um" and "uh"?

EnviousWispr automatically strips filler words (um, uh, like, you know) from transcripts before they reach your text field. This happens at the post-processing stage, before AI polish, so even without an LLM enabled your text comes out clean.

What happens to my clipboard when EnviousWispr pastes text?

When clipboard restoration is on (the default), EnviousWispr saves your clipboard contents before a clipboard-based paste and restores them afterward, unless another app changes the clipboard in between. Direct text insertion never touches your clipboard at all.

Try the free Willow alternative for Mac

Free to download. No account required. No cloud transcription.