The free Superwhisper alternative for Mac
Both are Mac-native and offer on-device transcription. EnviousWispr is free with two curated local engines; Superwhisper offers a much larger library of local and cloud speech models.
Quick answer
Superwhisper or EnviousWispr: which should you choose?
Choose Superwhisper if you need meeting notes, audio or video file transcription, iPhone or Windows support, a large speech and writing model library, or custom writing modes. Choose EnviousWispr if your priority is free, open-source Mac dictation with no account or subscription, local speech processing, and a smaller set of built-in defaults. Both can run transcription locally, but Superwhisper is the broader paid product and EnviousWispr is the focused free alternative. For everyday speech-to-text on an Apple Silicon Mac, the decision mainly comes down to whether you value Superwhisper's wider feature set or EnviousWispr's cost, inspectability, and simpler setup. If meetings or file work are central, Superwhisper's paid features matter. If your main job is live dictation into Mac apps, EnviousWispr covers that narrower path without a purchase.
Still deciding? See the best Mac dictation apps by use case or browse all 17 dictation app comparisons.
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 (unlimited, smaller AI models); Pro ~$8.49/mo; Lifetime purchase available* |
| Account required | No | Yes, for Pro features |
| Speech engines | Parakeet TDT + WhisperKit (dual engines, on-device) | Large searchable library: local and cloud speech choices including Cohere Transcribe, Parakeet realtime, and Superwhisper Nano/Fast/Standard/Pro/Ultra variants |
| Audio processing | On-device (Apple Neural Engine) | Local or cloud speech model by Mode; local choices keep audio on the Mac |
| Audio leaves your Mac | Never. Audio stays on your Mac. If you enable cloud AI polish, only the text transcript is sent. | Not with a local speech model. Choosing a cloud speech model sends audio to that provider; cloud writing models send transcript text. |
| Works offline | Yes (after models download) | Yes with a downloaded local speech model |
| AI polish | EG-1, Ollama on-device, Apple Intelligence on-device (macOS 26+); OpenAI, Gemini, or Claude with your own key | Cloud AI via GPT-5, Claude, Llama 4, Grok, Gemini, Ministral (requires Pro); or S1-mini on-device for basic cleanup (experimental, free) |
| Offline AI polish | Yes (EG-1, Apple Intelligence, or Ollama, fully on-device) | Yes, for basic cleanup: Local mode with S1-mini (experimental, 0.6B, on-device); full writing modes still need GPT, Claude, or Llama over the internet |
| Transcription latency | 0.61s median; ~1.65s with on-device 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) | Yes, via S1-mini's on-device Local mode (experimental) or the cloud writing modes |
| First-word capture | Pre-roll buffer captures audio before you press the keybind | Not specified |
| Starts listening instantly | Yes (ASR engine pre-warmed at launch) | Push-to-talk (hold, speak, release) |
| Clipboard preservation | Yes, when enabled and no other app changes the clipboard first | 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 (no live notes or speaker diarization) | Yes (live meeting recording with automatic notes) |
| System audio and speaker identification | No | Yes, configurable per Mode |
| Coding-agent plugins | No dedicated plugin | Claude Code and Codex plugins in Advanced Configuration |
| Multi-language | 25 European (Parakeet), 99+ languages via WhisperKit | 100+ languages with translation to English |
| File transcription | No | Yes (audio and video file transcription) |
| Source code | Open source on GitHub (GPLv3) | 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), last checked August 2026. Pricing: free tier (now unlimited, restricted to smaller AI models), Pro ~$8.49/mo (yearly discount available), lifetime purchase option. EnviousWispr latency from production PostHog data on Apple Silicon Macs, 30-day trailing median. Superwhisper features source-verified from superwhisper.com, the installed app opened directly, and independent public sources for S1-mini. Competitor claims last verified: 2026-08-21.
Why Mac users switch from Superwhisper
Both apps run on-device. Here is what sets EnviousWispr apart.
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.
EnviousWispr uses NVIDIA Parakeet TDT for 25 European languages and WhisperKit for wider coverage. Superwhisper gives you a much larger library of local and cloud models to compare. EnviousWispr keeps the choice smaller and entirely local. See how the pipeline works.
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.
Download, open, start dictating. EnviousWispr never asks for your email or payment information. No trial period that expires.
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. Superwhisper's cloud AI requires a Pro subscription.
Every line is on GitHub under GPLv3. 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?
EnviousWispr always transcribes on-device. Superwhisper can use a local or cloud speech model depending on the selected Mode, and both apps offer local and optional cloud cleanup paths. For a deeper dive, read on-device vs cloud dictation privacy.
Parakeet TDT: built for speed
EnviousWispr uses NVIDIA Parakeet TDT v3, a multilingual ASR model covering 25 European languages that runs natively on the Apple Neural Engine. No network dependency, no server queues.
Based on production data from Apple Silicon Macs. Results vary by hardware and settings.
What the feature table does not show
Both apps can run speech and cleanup locally. Superwhisper offers a much larger model library; EnviousWispr keeps a curated two-engine setup.
Superwhisper 2.18.1 has a searchable speech and writing model library. The live app showed local Cohere Transcribe, Parakeet realtime, and Superwhisper-branded Nano, Fast, Standard, Pro, and Ultra choices alongside cloud models.
EnviousWispr takes a different approach: NVIDIA Parakeet TDT v3, a CTC/TDT hybrid model that runs at ~110x real-time on the Apple Neural Engine. It covers 25 European languages and is tuned for fast, accurate dictation. For languages outside those 25, EnviousWispr falls back to WhisperKit (an Apple Silicon-optimized Whisper implementation).
EnviousWispr uses Parakeet TDT v3 for the languages it covers and WhisperKit for broader language support. Superwhisper gives you much more room to compare models, providers, and local or cloud trade-offs.
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.
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:
Superwhisper supports live meeting recording and automatic note generation. EnviousWispr can record sessions up to 60 minutes, but has no meeting-specific features: no live notes, no speaker diarization, no summarization. If transcribing meetings is your primary use case, Superwhisper handles it today.
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.
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.
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.
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.
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
Yes. EnviousWispr offers on-device transcription on Apple Silicon Macs, completely free, with no account or subscription required. It uses Parakeet TDT for 25 European languages and WhisperKit for 99+.
Both are Mac-native and offer on-device transcription. EnviousWispr is free, uses two curated local engines, and is open source under GPLv3. Superwhisper offers a much larger library of local and cloud speech models, plus meeting transcription, an iOS app, Windows support, and more writing modes. Superwhisper Pro costs about $8.49 per month.
EnviousWispr uses NVIDIA Parakeet TDT v3 for 25 European languages and WhisperKit for wider language coverage. Superwhisper offers a large searchable library of local and cloud speech models, including Cohere Transcribe, Parakeet realtime, and its Nano, Fast, Standard, Pro, and Ultra choices. Superwhisper gives you more models to compare, while EnviousWispr keeps the choice to two curated local engines.
Yes. After the one-time model download, transcription runs entirely on-device with no internet required. AI polish can also run offline using EG-1 (our own model, macOS 14+), Apple Intelligence (macOS 26+), or Ollama with a local model. Cloud AI providers like OpenAI, Gemini, or Claude are optional and require your own API key.
Superwhisper can transcribe offline with a downloaded local speech model, and it now has an on-device polish option too: a Local mode powered by S1-mini, its own 0.6B open-weights model that cleans up fillers, punctuation, and numbers without sending anything off your Mac. It is a newer, experimental addition and a lighter cleanup pass than the cloud writing modes, which still need an internet connection. EnviousWispr's EG-1 and Ollama integrations run entirely on your Mac, and so does Apple Intelligence on macOS 26+.
Yes. No subscription, no usage limits, no account required. Download and use it. The source code is open source on GitHub under the GPLv3 license.
Parakeet TDT is a multilingual speech recognition model from NVIDIA covering 25 European languages. It is purpose-built for accurate, fast transcription and runs on the Apple Neural Engine at ~110x real-time. It delivers stronger English accuracy than Whisper for dictation use cases.
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.
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.
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.
Why pay for on-device dictation? Download free.
Free to download. No account required. Parakeet TDT for English accuracy.