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Say It Like
Clone any voice. Generate speech. Entirely on-device.
Say It Like is a native macOS voice cloning and text-to-speech app built entirely in Swift. - Clone a voice from any audio file, mic, or system audio - Generate speech in that voice from any text, with live streaming output - Works fully offline. Generation runs on Mac, nothing leaves the device For the more technical folks, no Python runtime bundled, no server calls, no background processes phoning home. Runs on MLX. I'm a contributor to the MLX audio libraries that power this app.
I built Say It Like because I wanted voice cloning I could actually trust.
Yes, there are many other TTS apps out there. Most bundle a Python runtime and a pile of dependencies, or wrap a web UI in an Electron shell and call it native. Not many of them use MLX, or stream audio as it generates, and none treat the OS as something worth integrating with properly.
So the constraints I set: native Swift only, MLX for inference, streaming output, no Python runtime, real OS integration. That meant contributing to the MLX audio libraries myself to get the behaviour I needed. The foundation this is built on is not a black box I am working around.
The result is an app that feels like it belongs on your Mac. Fast to start, fast to generate, and wired into the system in ways the alternatives are not.
If you are into the technical side, happy to go deep in the comments.
About Say It Like on Product Hunt
“Clone any voice. Generate speech. Entirely on-device.”
Say It Like was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #159 on the daily leaderboard. Say It Like is a native macOS voice cloning and text-to-speech app built entirely in Swift. - Clone a voice from any audio file, mic, or system audio - Generate speech in that voice from any text, with live streaming output - Works fully offline. Generation runs on Mac, nothing leaves the device For the more technical folks, no Python runtime bundled, no server calls, no background processes phoning home. Runs on MLX. I'm a contributor to the MLX audio libraries that power this app.
On the analytics side, Say It Like competes within Mac, Privacy and Artificial Intelligence — topics that collectively have 581.8k followers on Product Hunt. The dashboard above tracks how Say It Like performed against the three products that launched closest to it on the same day.
Who hunted Say It Like?
Say It Like was hunted by Ashwary. 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 Say It Like including community comment highlights and product details, visit the product overview.
Ashwary