vlr-code

vlr-code / dictly

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On-device speech-to-text for macOS. Hold a hotkey → Whisper transcribes locally via CoreML → text auto-pastes into the focused app. 99 languages, free, open-source.

github.comvlr-codedictlyreleaseslatest apple-silicon dictation macos on-device-ai productivity
12
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100% credibility
Found May 14, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

Dictly is a free open-source macOS menu bar app that transcribes speech to text locally and pastes it anywhere via a global hotkey.

How It Works

1
🔍 Discover Dictly

You hear about this handy Mac app that turns your speech into text anywhere and download it for free.

2
📥 Install simply

Unzip the file and drag the app icon into your Applications folder – it opens right away without fuss.

3
🔓 Allow access

Launch the app from your menu bar and say yes when it asks to use your microphone and reach other apps.

4
🎤 Speak to type

Hold down a special key like Fn, talk naturally, let go – your words appear as text in whatever you're using!

5
⚙️ Make it yours

Click the menu bar icon to pick your favorite key, language, or where helpful hints show up.

✨ Dictate freely

Now jot notes, emails, or ideas hands-free – fast, private, and works everywhere on your Mac.

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AI-Generated Review

What is dictly?

Dictly is a menu-bar app for macOS that delivers on-device speech-to-text using Whisper models accelerated by Apple's CoreML and Neural Engine. Hold a global hotkey like Fn, speak in one of 99 languages, and release to transcribe locally—text auto-pastes directly into the focused app or copies to clipboard. Built in Swift for Apple Silicon (macOS 15+), it runs offline with no cloud, no account, and zero telemetry.

Why is it gaining traction?

It stands out as the best on-device speech-to-text for Mac by bundling a lightweight multilingual model out of the box, with instant swaps to larger variants like large-v3 from Hugging Face. Push-to-talk feels natural for quick dictations, real-time factors hit 0.1–0.3x on M-series chips, and features like auto-paste via simulated Cmd-V save a keystroke. Privacy-focused devs dig the edge-device processing—no API keys or data leaks.

Who should use this?

Mac power users dictating code comments, emails, or notes in non-English languages. Devs on multilingual teams who want speech-to-text on-device without cloud latency. Anyone tired of browser tabs or clunky system dictation that phones home.

Verdict

Grab it if you need private, fast Mac dictation—pre-built binaries are signed and notarized for easy install. At 12 stars and 1.0% credibility, it's early-stage with solid docs but light on tests; watch for polish on F-key hotkeys and translation features.

(187 words)

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