This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
whispr-stream
On-device speech-to-text for Mac, built on Qwen3-ASR via MLX
On-device streaming speech-to-text for macOS, built on Qwen3-ASR via MLX - Leo6Leo/whispr-stream
Hey Product Hunt! I’m Leo, the maker of WhisprStream.
I built WhisprStream because I wanted a dictation tool that matched how I actually speak.
I switch between English and Chinese constantly, sometimes in the same sentence. Most dictation tools I tried either struggled with that or required sending audio to the cloud. I wanted something that could handle multilingual speech naturally while staying fast, private, and completely local on my Mac.
That led me to build WhisprStream around Qwen3-ASR and MLX. Everything runs on-device, so your voice never needs to leave your Mac.
While using it myself, I realized I was also repeatedly typing the same longer prompts and instructions. That became Voice Shortcuts: say a short trigger phrase and WhisprStream instantly inserts a longer piece of text you've saved.
What started as a small tool for my own workflow gradually turned into something I use every day, so I decided to open-source it.
I’d love to hear how you use dictation today, especially if you regularly switch between languages. Feedback, ideas, and contributions are very welcome!
About whispr-stream on Product Hunt
“On-device speech-to-text for Mac, built on Qwen3-ASR via MLX”
whispr-stream was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #115 on the daily leaderboard. On-device streaming speech-to-text for macOS, built on Qwen3-ASR via MLX - Leo6Leo/whispr-stream
On the analytics side, whispr-stream competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how whispr-stream performed against the three products that launched closest to it on the same day.
Who hunted whispr-stream?
whispr-stream was hunted by Leo Li. 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 whispr-stream including community comment highlights and product details, visit the product overview.
Leo Li