Control your Mac via camera & train gestures, local & FOSS
PawVis turns your Mac’s webcam into a hand-tracked mouse, no extra hardware required. Raise your hand and the cursor follows, dip a finger to click, and fold two fingers to scroll. Map gestures to custom actions like window management or any app/command from a series of common gestures or train your own. Everything runs 100% on-device, and PawVis is free and open source. Enable optional voice control for hands-free commands, or pass computer-use tasks to Codex or Claude Code.
I'm Alexandria, the creator of Pawvis. I made Pawvis because I wanted to use my computer the way we've been promised for decades that we would in the future. Pawvis reads your hand through the webcam and lets your control your mouse, manage windows, and bind custom actions to any gesture (even user-trained).
Dip a finger to click, fold middle and ring finger in like you're slinging web pages up and down to scroll, dip your pinky in to right click - these are the initial primitives but only the start, and all tracking is performed on-device with code you can read/clone/build yourself from the open source repo.
While I've seen other concepts for hand/gesture tracking through video and voice control none had hit the mark of where I felt that technology could go from a usability and extensibility standpoint.
A good input mechanism needs to be frictionless, it needs to be intuitive, and it needs to be able to adapt to the unique user using it when possible.
Pawvis tackles this through opinionated but configurable gesture mapping, aggressive optimization to make a capable detection process work smoothly and privately on your local machine, and fully user specified custom trained gestures tied to any action you want to make things like window management or launching apps and shortcuts a breeze.
I also added voice control (using Apple Intelligence) to further round out touch points, which supports its own native agent control harness or can hand computer use tasks off to Claude Code or Codex (if you set that up and have them installed).
Pawvis provides the an ideal blend of utility, technology, and whimsy - and I hope you all enjoy using it as much as I have! Let me know if you have any thoughts or questions, and feel free to clone it (it's open-source MIT licensed) or open any PRs/issues you think might take it to the next level.
Excelsior,
Alexandria
About Pawvis on Product Hunt
“Control your Mac via camera & train gestures, local & FOSS”
Pawvis launched on Product Hunt on August 22nd, 2026 and earned 93 upvotes and 15 comments, placing #7 on the daily leaderboard. PawVis turns your Mac’s webcam into a hand-tracked mouse, no extra hardware required. Raise your hand and the cursor follows, dip a finger to click, and fold two fingers to scroll. Map gestures to custom actions like window management or any app/command from a series of common gestures or train your own. Everything runs 100% on-device, and PawVis is free and open source. Enable optional voice control for hands-free commands, or pass computer-use tasks to Codex or Claude Code.
On the analytics side, Pawvis competes within Productivity, Developer Tools, GitHub and Apple — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Pawvis performed against the three products that launched closest to it on the same day.
Who hunted Pawvis?
Pawvis was hunted by Alexandria Redmon. 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.
Alexandria Redmon
Cheers, Product Hunt!
I'm Alexandria, the creator of Pawvis. I made Pawvis because I wanted to use my computer the way we've been promised for decades that we would in the future. Pawvis reads your hand through the webcam and lets your control your mouse, manage windows, and bind custom actions to any gesture (even user-trained).
Dip a finger to click, fold middle and ring finger in like you're slinging web pages up and down to scroll, dip your pinky in to right click - these are the initial primitives but only the start, and all tracking is performed on-device with code you can read/clone/build yourself from the open source repo.
While I've seen other concepts for hand/gesture tracking through video and voice control none had hit the mark of where I felt that technology could go from a usability and extensibility standpoint.
A good input mechanism needs to be frictionless, it needs to be intuitive, and it needs to be able to adapt to the unique user using it when possible.
Pawvis tackles this through opinionated but configurable gesture mapping, aggressive optimization to make a capable detection process work smoothly and privately on your local machine, and fully user specified custom trained gestures tied to any action you want to make things like window management or launching apps and shortcuts a breeze.
I also added voice control (using Apple Intelligence) to further round out touch points, which supports its own native agent control harness or can hand computer use tasks off to Claude Code or Codex (if you set that up and have them installed).
Pawvis provides the an ideal blend of utility, technology, and whimsy - and I hope you all enjoy using it as much as I have! Let me know if you have any thoughts or questions, and feel free to clone it (it's open-source MIT licensed) or open any PRs/issues you think might take it to the next level.
Excelsior,
Alexandria