EnviousWispr: Free Private AI Dictation for macOS

What if you didn’t have to choose between fast dictation and private dictation? What if a single tool could give you both: cloud-quality transcription speed with the guarantee that your recordings never leave your Mac?

That’s the question we kept asking, and it’s why we built EnviousWispr.

EnviousWispr runs entirely on your Mac. Your voice recordings never leave your device. Transcription happens locally using on-device speech recognition models optimized for Apple Silicon via Core ML.

Post-processing (correcting punctuation, cleaning up filler words, adjusting tone) can run fully on-device with Apple Intelligence or Ollama, or via a cloud provider like OpenAI or Gemini if you prefer. From microphone to clipboard, nothing touches the internet unless you choose a cloud AI provider.

What it does

The workflow is intentionally simple: hold a hotkey, speak, release. EnviousWispr records your audio, transcribes it, runs it through the post-processing pipeline, and places polished text on your clipboard, or pastes it directly into whatever app has focus. The whole cycle takes a second or two on Apple Silicon.

Here’s what that looks like:

What you say:

hey just wanted to follow up on the design review from this morning um the team agreed to go with the simplified navigation and we’re cutting the sidebar for now Alex is going to update the mockups by Thursday and I’ll schedule a final review for Friday afternoon

What gets pasted:

Following up on this morning’s design review. The team agreed to go with simplified navigation; the sidebar is cut for now. Alex will update the mockups by Thursday, and I’ll schedule a final review for Friday afternoon.

Spoken in ten seconds. Polished, structured, ready to send. Your audio never left your Mac.

A few things that make it worth using day-to-day:

• Hands-free mode. Double-press your hotkey to lock recording for longer dictation sessions. Triple-press to cancel.
• Writing style presets. Choose between Standard, Formal, Friendly, or Custom to control the tone of your output.
• Custom prompts. Tell the post-processor to write in your style, translate on the fly, or format output as bullet points.
• Custom word dictionary. Add names, technical terms, and jargon so the app gets your words right every time.

Getting started

Download the .dmg from the releases page, open it, and drag EnviousWispr to your Applications folder. On first launch you’ll grant microphone access and the app will download its speech recognition model automatically. This takes a minute or two once and never again. Any M-series Mac running macOS Sonoma 14 or later works.

For a step-by-step walkthrough, see our Getting Started in Under 2 Minutes guide. And if you want to understand why on-device processing matters, read our on-device vs. cloud dictation comparison.

That’s it. No account, no API key, no subscription. EnviousWispr is free. If you run into issues or have ideas, open an issue on GitHub. We read everything.

Why on-device matters

Most dictation tools send your audio to a server. The server runs a speech recognition model, returns the text, and your recording sits in someone else’s infrastructure during that process. Retention policies vary. Some providers keep recordings for model training unless you explicitly opt out.

On-device dictation works differently. The speech recognition model runs entirely on your Mac using Core ML, optimized for Apple Silicon. Your audio is processed locally and discarded. There’s no server to breach, no retention policy to read, no third-party subprocessor to trust.

This isn’t a privacy promise buried in a terms-of-service document. It’s an architectural fact: the pipeline has nowhere to send your audio. It works offline, on a plane, with Wi-Fi turned off.

The accuracy gap between local and cloud transcription has largely closed. Modern on-device models running natively on Apple Silicon via Core ML achieve word error rates under 2% on standard benchmarks, competitive with major cloud speech APIs. You’re not trading quality for privacy anymore.

For a full breakdown, read how on-device dictation compares to cloud services.

How it works

The pipeline has four steps, and they run in parallel on Apple Silicon, which is what makes the end-to-end time roughly two seconds:

1. Record. Hold the global hotkey (configurable), speak, release. EnviousWispr captures audio from your microphone with a pre-roll buffer so your first words are never clipped.
2. Transcribe. On-device speech recognition runs natively via Core ML on Apple Silicon. The primary engine handles English with streaming transcription that overlaps with recording. A secondary engine covers 100+ languages.
3. Polish. Your choice of AI provider (OpenAI, Gemini, Ollama, Apple Intelligence, or none) removes filler words, fixes punctuation, and shapes the output to your selected writing style.
4. Paste. The polished text pastes directly into whatever app has keyboard focus. Your previous clipboard contents are preserved and restored automatically.

See how the transcription pipeline works in detail if you want to go deeper on any of these steps.

Who it’s for

EnviousWispr is built for macOS users on Apple Silicon who produce a lot of text and want to do it faster, without sending their audio to a cloud service.

Developers dictate PR descriptions, review comments, and Slack messages without breaking their flow. Proprietary code context never touches a cloud API.

Writers get first drafts out of their heads faster. Speaking is roughly three to five times faster than typing for most people. The post-processing step means the output is closer to ready-to-publish than raw transcription.

Knowledge workers (remote teams, product managers, researchers) use it for email, meeting notes, and async communication. Any text field in any macOS app works: Gmail, Notion, Slack, your IDE, your terminal.

Privacy-sensitive professions (legal, medical, finance) dictate confidential content knowing it never leaves the device. No cloud policy to trust, no audit to worry about.

RSI and accessibility users reduce keyboard load without giving up productivity. Hands-free mode lets you lock recording with a double-press so you don’t have to hold any key. Useful for longer sessions or when holding a hotkey isn’t comfortable.

The one hard requirement: an Apple Silicon Mac (M1 or later) running macOS Sonoma 14+. The Neural Engine is what makes local transcription fast enough to feel instant. Intel Macs won’t run it.

Curious how EnviousWispr stacks up against other tools? See how it compares to WisprFlow, Apple Dictation, and other alternatives.