Cyronlee

Cyronlee / TransFlow

Public

Real-time speech transcription & translation for macOS — fully offline, privacy-first

transflow.cyron.space
62
2
100% credibility
Found Feb 12, 2026 at 39 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

TransFlow is a lightweight macOS app for real-time offline speech transcription and translation, capturing audio from microphone or other applications using Apple's on-device frameworks.

How It Works

1
🔍 Discover TransFlow

You hear about this handy Mac app that turns spoken words into text and translates them instantly, all privately on your device.

2
📥 Download installer

Visit the releases page and grab the easy-to-use installer package for your Mac.

3
🗂️ Install the app

Open the package, drag the app icon to your Applications folder, and approve it in your security settings if asked.

4
🚀 Launch and prepare

Open the app, allow microphone access when prompted, and choose your language for turning speech into text.

5
🎙️ Start live transcription

Pick microphone or sounds from another app like a video call, tap the big record button, and watch words appear in real-time with optional translations.

6
📝 Review and export

Stop recording to save the session automatically, browse your history of notes, rename them, or export as subtitles or readable files.

✅ Perfect notes ready

You now have accurate, private transcripts from meetings, lectures, or videos to read, share, or use anytime.

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Star Growth

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AI-Generated Review

What is TransFlow?

TransFlow is a lightweight macOS app in Swift and SwiftUI for real-time speech transcription and translation, fully offline using Apple's Speech and Translation frameworks. It grabs microphone audio or streams from other apps like Zoom via ScreenCaptureKit, spitting out accurate transcripts with optional translations into macOS-supported languages—no cloud required. Sessions auto-save with history browsing and exports to SRT subtitles or Markdown, solving the hassle of manual note-taking in meetings or lectures.

Why is it gaining traction?

Unlike cloud-dependent real-time speech-to-text tools on GitHub, TransFlow prioritizes privacy with on-device Neural Engine acceleration, staying under 800KB while capturing app audio for seamless video transcription. Bilingual docs and a one-click DMG installer make it accessible for real-time transcription GitHub hunters, outpacing heavier real-time speech translation alternatives in speed and zero-latency feel. The privacy-first hook draws devs ditching APIs for local real-time speech recognition.

Who should use this?

macOS power users transcribing Zoom calls, podcasts, or lectures on Apple Silicon—think devs debugging audio issues or researchers logging interviews offline. Perfect for privacy-focused folks handling real-time speech-to-text in sensitive workflows, like legal reviews or non-English content translation. Avoid if you need cross-platform or advanced features like speaker ID.

Verdict

Worth a spin for macOS Sequoia users wanting instant offline real-time speech transcription—lightweight and functional out-of-box. At 19 stars and 1.0% credibility, it's early-stage with basic tests; fork and extend for production, eyeing roadmap items like Whisper integration.

(198 words)

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