Feature comparison

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

EnviousWispr Superwhisper
Price Free to use. No subscription, no word limits. Free tier (15-min trial); Pro ~$8.49/mo; Lifetime purchase available*
Account required No Yes, for Pro features
Speech engines Parakeet TDT + WhisperKit (dual engines, on-device) Whisper (on-device, multiple model sizes)
Audio processing On-device (Apple Neural Engine) On-device (Whisper); optional cloud AI for polish
Audio leaves your Mac Never. Audio stays on your Mac. If you enable cloud AI polish, only the text transcript is sent. Not for transcription. Cloud AI features send text to third-party APIs.
Works offline Yes (after models download) Yes (on-device Whisper mode)
AI polish Apple Intelligence or Ollama on-device; OpenAI/Gemini with your own key Cloud AI via GPT-5, Claude, Llama 4, Grok, Gemini, Ministral (requires Pro)
Offline AI polish Yes (Apple Intelligence or Ollama, fully on-device) Not specified (cloud AI models listed require internet)
Transcription latency 0.43s median; ~1.5s with AI polish Not published
Custom vocabulary Yes (names, terms, jargon; post-processing word replacement) Yes (names, abbreviations, specialized terms)
Writing style control Context-aware Smart Polish adapts to target app Multiple modes: Formal, Casual, Legal, Chat, plus custom modes
Filler word removal Yes (built-in, runs before AI polish) Not specified
First-word capture Pre-roll buffer captures audio before you press the hotkey Not specified
Starts listening instantly Yes (ASR engine pre-warmed at launch) Push-to-talk (hold, speak, release)
Clipboard preservation Yes (clipboard saved before paste, restored after) Automatic pasting; clipboard preservation not specified
Text lands in the right app Yes (target app reactivation via Accessibility API, three-tier paste fallback) Pastes in active app at time of completion
AI hallucination safeguards 3-layer defense: short-circuit, length validation, sandwich framing Not specified
Meeting transcription No (built for 1-2 minute dictation) Yes (live meeting recording with automatic notes)
Multi-language English (Parakeet), 90+ via WhisperKit 100+ languages with translation to English
File transcription No Yes (audio and video file transcription)
Source code Source-available on GitHub (BSL 1.1) Closed source
iOS app macOS only today Yes (iOS companion app)
Platform support macOS (Apple Silicon) macOS (Apple Silicon + Intel), iOS, Windows
Accessibility VoiceOver-compatible settings, keyboard-navigable Not specified

*Based on Superwhisper's public website (superwhisper.com) as of April 2026. Pricing: free tier, Pro ~$8.49/mo (yearly discount available), lifetime purchase option. EnviousWispr latency from production PostHog data on Apple Silicon Macs. Superwhisper features source-verified from superwhisper.com; not firsthand-tested. Competitor claims last verified: 2026-04-04.

Download Free

Why Mac users switch from Superwhisper

Both apps run on-device. Here is what sets EnviousWispr apart.

$0
Free to use

No subscription, no usage caps, no freemium tiers. Superwhisper Pro costs ~$8.49/mo or a lifetime fee. EnviousWispr gives you on-device transcription and AI polish at no cost.

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Parakeet TDT, not just Whisper

Superwhisper uses Whisper for on-device transcription. EnviousWispr runs NVIDIA Parakeet TDT as its primary English engine, which delivers stronger accuracy on English dictation. WhisperKit is available as a fallback for 90+ languages. See how the pipeline works.

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0.43s median latency

Measured in production on Apple Silicon Macs. Text appears almost instantly after you stop speaking. No waiting for model warm-up or network round-trips.

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No account, no signup

Download, open, start dictating. EnviousWispr never asks for your email or payment information. No trial period that expires.

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Your choice of AI polish

Apple Intelligence and Ollama run entirely on-device. Want cloud speed? Bring your own OpenAI or Gemini key. You control which services touch your text. Superwhisper's cloud AI requires a Pro subscription.

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Auditable code

Every line is on GitHub under BSL 1.1. Verify what it does. Report issues directly. Closed-source dictation tools ask you to trust their privacy claims on faith.

Where does your voice go?

Both apps transcribe on-device. The difference is what happens next. 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 (Apple Intelligence or Ollama) 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.
Superwhisper
1
You speak into your Mac's microphone.
2
Audio is transcribed on-device via Whisper. So far, similar to EnviousWispr.
3
If you enable AI features, your transcript text is sent to third-party cloud APIs (GPT, Claude, or Llama hosted services).
4
Polished text is returned over the network and pasted on your device. Third-party data handling policies apply.

Parakeet TDT: built for speed

EnviousWispr uses NVIDIA Parakeet TDT, a purpose-built English ASR model that runs natively on the Apple Neural Engine. No network dependency, no server queues.

0.43s
Median transcription
From end of speech to raw text
1.5s
With AI polish
Apple Intelligence on-device
0ms
Network overhead
Immune to bad Wi-Fi

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

What the feature table does not show

Both apps do on-device Whisper transcription. The technical differences are in the engines and the post-processing pipeline.

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Dual ASR engines vs. Whisper alone

Superwhisper uses OpenAI Whisper with multiple model sizes (likely tiny through large). It is a proven, broadly capable model that handles 100+ languages well. For multilingual dictation, it is excellent.

EnviousWispr takes a different approach for English: NVIDIA Parakeet TDT v2, a CTC/TDT hybrid model that runs at ~110x real-time on the Apple Neural Engine. It was trained specifically for English speech recognition and benchmarks higher on English dictation accuracy than Whisper large-v3. For non-English languages, EnviousWispr falls back to WhisperKit (an Apple Silicon-optimized Whisper implementation).

The result is two engines chosen for their strengths: Parakeet for English speed and accuracy, WhisperKit for language breadth. Superwhisper uses one engine for everything.

Why it matters: Parakeet TDT's ~110x real-time factor means a 30-second dictation transcribes in under 300ms. Whisper large-v3 is accurate but slower. By using the right engine for the right language, EnviousWispr gets both speed and accuracy without compromise.
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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.

The LLM prompt itself is context-aware. It tells the model it is processing speech-to-text output, gives examples of phonetic misrecognition patterns, and adjusts for the app you were dictating into. Your dictated text is wrapped in XML tags with explicit instructions to polish, not answer or execute.

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. Superwhisper offers writing modes (Formal, Casual, Legal, Chat), but does not document hallucination-specific safeguards.

Choose Superwhisper if you need its broader feature set

Superwhisper is a more mature product with features EnviousWispr does not have yet. It may be a better fit in these situations:

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You need meeting transcription

Superwhisper supports live meeting recording and automatic note generation. EnviousWispr is built for short dictation (1-2 minutes), not meeting-length recording. If transcribing meetings is your primary use case, Superwhisper handles it today.

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You want cross-platform support

Superwhisper has an iOS companion app and Windows support. EnviousWispr is macOS-only on Apple Silicon. If you need dictation on your iPhone or a Windows machine, Superwhisper covers more ground.

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You want a longer track record

Superwhisper has been around longer, with more users, more community feedback, and integrations with 30+ applications. EnviousWispr is newer and shipping fast, but Superwhisper has the maturity advantage.

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You want more writing modes

Superwhisper offers predefined modes (Formal, Casual, Legal, Chat) and lets you create custom modes with fine control over formatting. EnviousWispr's Smart Polish adapts to your target app, but does not yet offer the same breadth of preset writing styles.

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You prefer a one-time purchase

Superwhisper offers a lifetime purchase option. EnviousWispr is free, so this is not about cost. But if you value the certainty of a one-time payment over a free product that could change, Superwhisper gives you that option.

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You need file transcription

Superwhisper can transcribe audio and video files, not just live speech. EnviousWispr is a real-time dictation tool and does not support file-based transcription.

If you primarily dictate on Mac and care most about speed, cost, and English accuracy, give EnviousWispr a try. You can always use both.

Common questions

Is there a free alternative to Superwhisper?

Yes. EnviousWispr offers on-device transcription on Apple Silicon Macs, completely free, with no account or subscription required. It uses Parakeet TDT for English and WhisperKit for 90+ languages.

How is EnviousWispr different from Superwhisper?

Both are Mac-native and run on-device. The key differences: EnviousWispr is free (Superwhisper Pro costs ~$8.49/mo), uses dual ASR engines (Parakeet TDT for English accuracy, WhisperKit for multilingual), and is source-available on GitHub. Superwhisper has meeting transcription, an iOS app, Windows support, and more writing modes that EnviousWispr does not offer yet.

How does EnviousWispr compare to Superwhisper for accuracy?

For English dictation, EnviousWispr uses NVIDIA Parakeet TDT v2, which benchmarks higher than Whisper large-v3 on standard English speech datasets. For other languages, both apps use Whisper-based engines with comparable accuracy. Superwhisper offers more Whisper model size choices, which lets you trade speed for accuracy on older hardware.

Can I use EnviousWispr completely offline?

Yes. After the one-time model download, transcription runs entirely on-device with no internet required. AI polish can also run offline using Apple Intelligence (macOS 15+) or Ollama with a local model. Cloud AI providers like OpenAI or Gemini are optional and require your own API key.

Does Superwhisper have offline AI polish?

Superwhisper's transcription works offline via Whisper. However, their AI polish features (writing modes powered by GPT, Claude, Llama, etc.) appear to require cloud connectivity. Their website does not specify an offline AI polish option. EnviousWispr's Apple Intelligence and Ollama integrations run entirely on your Mac.

Is EnviousWispr really free?

Yes. No subscription, no usage limits, no account required. Download and use it. The source code is available on GitHub under a BSL 1.1 license.

What is Parakeet TDT?

Parakeet TDT is an English speech recognition model from NVIDIA. It is purpose-built for accurate English transcription and runs on the Apple Neural Engine at ~110x real-time. It delivers stronger English accuracy than Whisper for dictation use cases.

Can I switch from Superwhisper easily?

Yes. Download EnviousWispr, set your hotkey, 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.

Is EnviousWispr open source?

Source-available under the Business Source License 1.1. That means you can read, build, and inspect every line of code on GitHub. It is not an OSI-approved open source license, but it gives you full transparency into how the app works. Contributions are welcome.

Why pay for on-device dictation? Download free.

Free to download. No account required. Parakeet TDT for English accuracy.