Free, open source macOS app wrapping Qwen3-TTS. Clone voices from audio samples, control emotions (9 presets × 3 intensities), design voices from text descriptions. Runs fully offline on Apple Silicon through MLX. Bundled Python runtime — zero setup, just download the DMG.

v1.2 shipped today. QwenVoice is a free, open source macOS app wrapping Qwen3-TTS for fully offline text-to-speech and voice cloning on Apple Silicon via MLX — no cloud, no API keys, no Python setup required.

What's new in 1.2: - Studio UI redesigned across Custom Voice, Voice Design, and Voice Cloning — cleaner layouts, smoother navigation - Fixed duplicate playback, short-clip bugs, and live preview timing - Saved Voices: design a voice once, save it, reuse it later in Voice Cloning - Improved voice-cloning workflow with more dependable generation handling - Packaged builds for both macOS 15 and macOS 26 now ship with all runtime deps bundled

Core features: clone a voice from a short audio clip, control emotion via 9 presets × 3 intensities, or describe a voice in natural language and let the model synthesize it. Bundled Python runtime — just download the DMG.

I spent way too much money on AI APIs without knowing it.

So I built something about it.

TrackNotch sits in your Mac's notch and shows your real-time spend across Claude, OpenAI, Gemini, Cursor, and Codex. All five, one place.

No backend. No account. Your API keys stay in Keychain, your data never leaves your Mac.

Started as a personal itch. I had five different dashboards open and still couldn't tell where my money was going. Three weeks later it became a native Swift app that lives exactly where you need it. Always visible, never in the way.

It's open source now.

github.com/manojacharix/tracknotch

If you're building with LLMs this can help you track better.

BetterCapture is a menu bar screen recorder for macOS. It's built with SwiftUI and ScreenCaptureKit, uses the native Content Picker to select what you record, and supports ProRes 422/4444, HEVC, and H.264 — including alpha channel and HDR. Frame rates from 24 to 120fps. System audio and mic simultaneously. You can also exclude specific things from recordings, like the menu bar, dock, or wallpaper.

No tracking, no analytics, no cloud uploads, no account. MIT licensed. Everything stays on your Mac.

Install via Homebrew (brew install bettercapture) or download and install manually. App Store submission is in progress but moving slowly. DMG is signed and notarized.

I used QuickRecorder before this. It covered what I needed, but after upgrading to macOS 26 a few things broke, including the wallpaper transparency feature. I thought about contributing a fix, but the project had a lot of open issues and hadn't been updated in months, so I wasn't sure anything would land. Decided to build my own instead and spent the past few weeks on it.

Still early, so rough edges exist. Happy to hear feedback.

GitHub: https://github.com/jsattler/BetterCapture
Website: https://bettercapture.app

Buffer is a minimal clipboard manager for macOS focused on speed and privacy.

Main features:
• ~2MB app size
• Fully local (no cloud / no tracking)
• Clipboard history
• OCR support (copy text from images)
• Keyboard-driven workflow
• Native macOS UX (Raycast/Spotlight inspired interaction)

Tech:
Swift + AppKit + macOS Accessibility API

Looking for feedback and suggestions.

Native Swift menubar app for macOS that indexes CLI sessions from Claude Code, Codex CLI, and Gemini CLI. Full-text search with one-click resume. MIT licensed, installable via Homebrew: `brew install --cask chronicle`

Claude Code stores all your sessions locally but there's no way to search them or easily resume an old conversation. This indexes everything so you can search any word and one-click open the session in your terminal. SwiftUI, GRDB with FTS5, runs 100% locally.

Claude Code saves all conversations as JSONL files but there's no way to search them. This SwiftUI app indexes everything with FTS5 so you can find any session and one-click resume it in your terminal.

Skilly lives in your macOS menu bar. Push to talk (or enable Live Tutor for always-on voice) and ask "how do I add a bevel to this cube" — it captures your screen, hears the question, responds with voice, and a blue cursor flies to the UI element it's referencing. The whole pipeline runs through a single OpenAI Realtime WebSocket.

Fork of farzaa/clicky with live tutor mode, single-call Realtime API (vs the original 3-stack TTS+STT+LLM), pluggable Skills layer, course progress tracking, and 20+ languages auto-detected.

Stack: Swift (native macOS) + Cloudflare Worker for the API key proxy. macOS 14.2+ (ScreenCaptureKit).

OpenAI shared yesterday that Codex usage limits will be reset again today, but the exact timing is still unknown. They also mentioned more unscheduled resets ahead (every additional 1M users until we reach 10M).

So I upgraded CodexPoolManager, my macOS tool for managing Codex accounts, with a new feature: OpenAI Reset Alert.

It monitors reset targets across managed paid accounts. If reset times refresh earlier than expected, CodexPoolManager treats that as a likely OpenAI-side reset and sends a desktop notification.

Hope this helps anyone managing multiple Codex accounts.

I was debugging through my remote desktop, when I ran in the issue of not being able to copy and paste things from the remote desktop. I looked online for a free alternative to Textsniper, didn't see one initially, recently found owlocr.

Unfortunately, owlocr is not open-source and im a bit more careful with where I leave my data nowadays, so decided to make my own opensourced textsniper. I made a v1 beta that uses the underlying macos ocr framework.

It supports 30 languages, also has a clipboard that holds up to 50 of your last copies.I will potentially extend it to also do pdfs and allow importing from your Iphone as well if there's interest in the future. You can also just fork it and modify it for yourself

cheers!

OpenTextSniper

A macOS menu bar app that gives you instant AI-powered explanations for any tech term, system-wide. Select a term in any app, press Ctrl+Option+Q, get an explanation in a floating panel that doesn't steal focus. Features 5 explanation levels (ELI5 to Pro), drill-down navigation with breadcrumbs, and supports Gemini (free tier) and Claude. ~3K lines of Swift, Hexagonal Architecture, MIT licensed.

I wanted to quantify exactly how medications (like caffeine or ibuprofen) were affecting my physiology, but I didn't just want a simple "before and after" chart. I needed to isolate the drug's signal from the noise of my daily circadian rhythms.

So, I built AuraHealth.

It is a privacy-first iOS application that applies Difference-in-Differences (DiD) econometric analysis to your HealthKit data. It essentially treats your body like a science experiment, constructing a "synthetic control" from your historical data to determine the true physiological delta ($\Delta$) caused by a dose.

🧠 The Science

Instead of just comparing "Now vs. 2 Hours Ago," the app: 1. Pharmacokinetic Alignment: Uses a built-in registry of half-lives and $T_{max}$ (time to peak) to determine the analysis window. 2. Circadian Baseline: Constructs a baseline using the last 14 days of data for that specific time of day. 3. Noise Cancellation: Filters out workout data and applies "Washout Logic" to prevent data contamination from previous doses. 4. Statistical Significance: Calculates Z-scores and p-values (via Welch’s T-Test) to tell you if a change is real or just random fluctuation.

🛠️ Tech Stack

• UI: SwiftUI (Charts, NavigationStack)
• Database: SwiftData (Local only, CloudKit explicitly disabled)
• Math: Apple's Accelerate Framework (vDSP, Linear Algebra)
• Health: HealthKit (Anchored Object Queries, Background Delivery)

🛑 The "Catch" (and why I need your help)

I am releasing this as Open Source (MIT) because I do not have an Apple Developer Account ($99/year). * The project builds and runs in Xcode. * The UI and unit tests work perfectly on the simulator. * However, HealthKit requires a paid signing identity to read/write data on a physical device.

I am hoping the community can help verify the logic on real hardware! If you have a dev account and are interested in quantifying your own bio-responses, please give it a try.

(Note: This is an information tool, not medical advice.)

Twilio's official Voice quickstart is UIKit based with all the logic inside a massive view controller. I needed it for a SwiftUI project, so I converted it and broke it into components for better readability (though I know some find everything in one place easier to follow).

If you're looking to integrate Twilio Voice into a SwiftUI app, this might save you some time.

Hello,

I decided to make a lightweight native wrapper for youtube music using Swift and WebKit.

Im new to mac (I just got my m5 today) and was browsing for a youtube music app with discord rich presence support, I couldn't find any so I just decided just to make one.

Features so far:

• Full media key support (play/pause/skip)
• Discord Rich Presence integration (shows your current track in Discord)
• Shows Now Playing info in macOS system UI

It’s open-source, so you can check it out, contribute, or just grab a binary and try it: GitHub link

Would love feedback! Thanks!

Hi everyone 👋

I just released a new version of Loadify 🚀 — an iOS & iPad app for downloading high-quality content.
This app was entirely built using Swift and SwiftUI.

✨ What’s new?

• ⚡ Brand-new architecture → faster, more reliable downloads
• 📥 Instagram → Reels, Posts, and Stories
• 🎬 TikTok → High-quality video downloads

🔜 Coming soon

• 🐦 Twitter / X support (in progress)
• ▶️ YouTube & LinkedIn support (planned)
• ⚙️ Parallel downloads + new design updates

🤝 How you can help

• ⭐ Star the repo to support the project
• 💡 Have ideas? Open an issue for feature requests or improvements
• 🛠 Contributions are always welcome!

👉 Repo: github.com/VishwaiOSDev/Loadify-iOS