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Wave

Turn your voice into text — local or cloud, your choice

Productivity
GitHub
Audio
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Hunted byMonawwar AbdullahMonawwar Abdullah

Wave lets you invoke an AI model anywhere on macOS using just your voice. Hold a hotkey, speak, and release—your speech is transcribed, processed, and the result appears exactly where you need it. If you're typing, it replaces or inserts text. If you're reading, it shows a floating answer. Works across all apps with selected text as context.

Top comment

Hey everyone 👋 Wave is a simple idea done properly: speech to text that doesn’t lock you in. Most tools either: * limit you to one model * force cloud usage * or stop at basic transcription Wave focuses on doing two things well: 1. Speech → text (Whisper-based) * Fast, accurate transcription * Works locally for privacy * Or via APIs if you want 2. AI mode * Take your speech or selected text * Refine, rewrite, or transform it * Use the model you prefer No subscriptions, no lock-in — just a flexible tool you can actually control. What’s coming next: * Context-aware processing * Per-app behavior (different rules per workflow) * More customization around how text is handled Everything is free and open. Would love to hear how you’d use it or what feels missing 🙌

Comment highlights

hold-hotkey-speak-release is exactly how voice input should work. no app switching, no extra windows. the local whisper option is a nice touch too for anyone paranoid about sending audio to the cloud

Love the floating answer feature for when you're reading. Most tools force you to command-tab to a browser or open a separate Claude window which completely breaks focus. Having it show up right there without switching apps is huge. UI looks really slick, congrats on the launch! 🚀

Open and free with local Whisper is the part that'd get me to actually install it. Interested in this - running fully local, which Whisper size are you defaulting to and how do you keep the release-to-text latency low enough that it still feels like it appears where you need it? Overall, well done!

The selected text as context feature is clever, hope this gets the attention it deserves!

the floating answer mode for when you're reading is the use case i keep thinking about. right now my workflow for looking something up while reading is cmd-tab to a browser or open a new Claude window which breaks the reading context completely. a floating answer that appears in place without switching apps is a different kind of interaction. curious how the floating UI actually works, does it appear near the cursor or in a fixed position, and what dismisses it

Local-OR-cloud is the right wedge - most speech-to-text tools quietly force the cloud and then bury that decision three menus deep. I build voice agents and the thing I keep relearning is that transcription is only half the job: where most tools lose users is what happens after the words land on screen. Editing friction, formatting, getting it into the next app. If Wave nails that handoff as cleanly as the privacy choice, it's a different product than the rest of the category.

About Wave on Product Hunt

Turn your voice into text — local or cloud, your choice

Wave launched on Product Hunt on June 7th, 2026 and earned 210 upvotes and 11 comments, earning #2 Product of the Day. Wave lets you invoke an AI model anywhere on macOS using just your voice. Hold a hotkey, speak, and release—your speech is transcribed, processed, and the result appears exactly where you need it. If you're typing, it replaces or inserts text. If you're reading, it shows a floating answer. Works across all apps with selected text as context.

Wave was featured in Productivity (653.2k followers), GitHub (41.2k followers) and Audio (2.1k followers) on Product Hunt. Together, these topics include over 163.4k products, making this a competitive space to launch in.

Who hunted Wave?

Wave was hunted by Monawwar Abdullah. 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.

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