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Tagara
Hold a key, speak, and the text appears at the cursor
Dictation for macOS that runs on your Mac. Hold right ⌥, talk, let go: the text is typed wherever your cursor is, about 0.2–0.4 s later. Parakeet on the Neural Engine, audio never saved or sent, no account. Free and open source.
Hi Product Hunt! Most of what I write during the day is faster to say than to type. So I built Tagara, a small dictation app for macOS.
Hold the right ⌥ key, talk, let go. The text is typed wherever your cursor is: the terminal, Slack, the browser, any text field. A sentence becomes text about 0.2–0.4 s after you release the key.
Everything runs on your Mac. Transcription uses the open Parakeet model on Apple Silicon's Neural Engine. The audio is never saved or sent anywhere, and there's no account. When idle it uses 0% CPU and the mic stays closed.
- English and Portuguese, detected on every dictation
- Puts your clipboard back the way it was after typing
- Local history of the last 50 dictations (you can turn it off)
- Native SwiftUI menu bar app, light and dark mode
Free and open source (MIT). macOS 15+, Apple Silicon. It isn't signed with an Apple developer certificate yet, so macOS asks you to allow it once.
Feedback welcome, especially on accuracy and latency on different Macs.
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About Tagara on Product Hunt
“Hold a key, speak, and the text appears at the cursor”
Tagara was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #316 on the daily leaderboard. Dictation for macOS that runs on your Mac. Hold right ⌥, talk, let go: the text is typed wherever your cursor is, about 0.2–0.4 s later. Parakeet on the Neural Engine, audio never saved or sent, no account. Free and open source.
Tagara was featured in Mac (103.8k followers), Productivity (663.6k followers), Open Source (69k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 230.6k products, making this a competitive space to launch in.
Who hunted Tagara?
Tagara was hunted by Mateus Fonseca. 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.
Want to see how Tagara stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mateus Fonseca