Open-source Mac dictation App that's 100% on-device
Hold Fn, speak, and Megaphone types clean text into any Mac app. Apple’s SpeechAnalyzer transcribes as you talk, while on-device Foundation Models remove fillers, fix self-corrections, adapt to app context, and power inline voice commands. No account, API key, subscription, or server. Free, MIT-licensed, and native to Apple silicon Macs running macOS 26.
Hey Product Hunt 👋
A few days ago, I was scrolling Hacker News when I came across a benchmark of Apple’s new SpeechAnalyzer API.
The results caught me off guard: Apple’s on-device model was more accurate and roughly three times faster than Whisper Small in the benchmark.
That made me wonder why so many Mac dictation apps still need subscriptions and cloud-hosted transcription.
So I built Megaphone.
Hold Fn, speak naturally, and release. Megaphone types clean text directly into whatever app you are using. SpeechAnalyzer processes your audio while you talk, and Apple’s on-device Foundation Models clean up fillers, resolve self-corrections, and fix punctuation before the result lands.
A few other things it can do:
• Start with “Hey Megaphone” to generate or rewrite text directly at your cursor
• Adapt formatting and vocabulary to the active app
• Learn names, acronyms, and technical terms in a private Dictionary
• Run in multiple languages
• Use hold-to-talk, toggle recording, custom shortcuts, and voice macros
There is no Megaphone account, API key, subscription, cloud transcription service, or server receiving your recordings.
Megaphone is free, MIT-licensed, and built natively in Swift for Apple silicon Macs running macOS 26 Tahoe.
It is built on top of Zach Latta’s excellent FreeFlow project. I replaced its cloud transcription stack with Apple’s SpeechAnalyzer and moved the cleanup and intelligence layer onto Apple’s on-device models.
I would especially love feedback on three things:
1. Accuracy with names, accents, and technical vocabulary
2. Whether Smart Cleanup changes too much—or not enough
3. Whether Inline AI feels genuinely useful in daily work
The source is public, the issue tracker is open, and I am actively maintaining it. Thanks for giving Megaphone a try.
About Megaphone on Product Hunt
“Open-source Mac dictation App that's 100% on-device”
Megaphone launched on Product Hunt on July 23rd, 2026 and earned 101 upvotes and 17 comments, placing #17 on the daily leaderboard. Hold Fn, speak, and Megaphone types clean text into any Mac app. Apple’s SpeechAnalyzer transcribes as you talk, while on-device Foundation Models remove fillers, fix self-corrections, adapt to app context, and power inline voice commands. No account, API key, subscription, or server. Free, MIT-licensed, and native to Apple silicon Macs running macOS 26.
On the analytics side, Megaphone competes within Productivity, Artificial Intelligence, GitHub, Apple and OpenAI Day — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Megaphone performed against the three products that launched closest to it on the same day.
Who hunted Megaphone?
Megaphone was hunted by Kuber Mehta. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Megaphone including community comment highlights and product details, visit the product overview.
Kuber Mehta