TypeWhisper

Local speech-to-text for macOS — on-device AI, fully private, no cloud

67
9
100% credibility
Found Feb 17, 2026 at 41 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

TypeWhisper is a macOS menu bar app for on-device or cloud speech-to-text that supports system-wide dictation, file transcription, customizable profiles, and a local API.

How It Works

1
🖥️ Discover TypeWhisper

You find this handy voice typing app for your Mac and get it set up with a quick install.

2
🔒 Grant simple permissions

Launch the menu bar app and allow microphone access plus pasting into other apps during the easy setup guide.

3
📥 Pick your voice model

Choose a fast on-device model that fits your Mac and watch it download so everything works privately.

4
⌨️ Set your personal hotkey

Pick a simple key or combo to trigger dictation, like a single modifier key for instant access.

5
🗣️ Speak and see text appear

Press your hotkey, talk naturally, and watch accurate text paste right into any app you're using.

6
📁 Transcribe files or customize

Drag in audio files for batch conversion or set profiles for different apps and websites.

🎉 Voice typing mastery

Now type hands-free everywhere on your Mac, saving hours with perfect recognition and smart fixes.

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Star Growth

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AI-Generated Review

What is typewhisper-mac?

TypeWhisper is a menu bar app for macOS that delivers local speech-to-text transcription using on-device AI models like Whisper, Parakeet, or Apple Speech—no cloud required for privacy. Hit a global hotkey to dictate into any app, with real-time streaming previews, automatic pasting, and support for file batch processing or subtitle exports in SRT/VTT. Built in Swift, it offers a CLI tool and local HTTP API for scripting, plus optional cloud fallback to Groq or OpenAI.

Why is it gaining traction?

It stands out with per-app profiles that auto-switch languages, engines, or whisper mode for Slack vs. code editors, plus a smart dictionary for tech terms and snippet expansions like {{DATE}}. The local HTTP API (e.g., curl for transcribe/status) and CLI make it a drop-in local speech-to-text alternative for automation, beating cloud services on privacy and latency for short clips. Developers dig the no-setup model downloads and media pause during recording.

Who should use this?

Mac-using devs dictating commit messages, Slack standups, or notes in VS Code/Xcode; podcasters transcribing episodes offline; or scripters piping audio to local speech-to-text via CLI/API. Ideal for bilingual workflows switching English/German per browser tab or app.

Verdict

Grab it if you need private, on-device dictation on macOS 15+—builds easily from source with solid docs. At 39 stars and 1.0% credibility, it's early but functional; watch for stability as models evolve.

(187 words)

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