Your products now have two shoppers: people and AI agents. Voxelo turns a three-minute phone video into a photoreal 3D twin in around an hour, and both can read it: interactive 3D, place-in-space AR with nothing to install, AI product and lifestyle imagery, and 2-3x the product attributes of a typical product page, published as JSON-LD. Already have splats? Host 100 free with viewer, AR links, editor and API. New in 3.0: API, analytics, publish to SuperSplat. Captured, not generated.
Hi Product Hunt 👋
I'm Ben, co-founder and COO of Voxelo. We're a small team in Manchester, and we've spent two years making one thing work properly: turning a short video of a real product into a photoreal 3D twin.
The idea behind 3.0 is simple. Your products now have two shoppers. A person, scrolling your product page. And an agent, reading it on their behalf. Both want to see the real product, and a flat JPEG serves neither of them well. A photo shows one angle. An agent can look at a photo, but it can't rely on one: no materials, no construction, nothing structured to match against the question it was asked.
So 3.0 opens two doors into one account, and both are free to start.
Already have splats? Bring them. Archives, heritage collections, product libraries, client work at volume. Host up to 100 of your own for free, made anywhere, with a viewer that does them justice, place-in-space AR links you can send to anyone, the editor, analytics and the API. Drag a PLY in; the Voxelo AR app opens SOG, SPZ, PLY and SPLAT natively. Publish to SuperSplat is live.
No 3D yet? Capture it. Film the product for about three minutes on a phone, rig or lightbox, and UG3D® (our own take on Gaussian splatting) turns it into a photoreal 3D twin in around an hour. 10 3D twins free. From that one twin: interactive 3D, hotspots, place-in-space AR with nothing for the shopper to install, AI product imagery and lifestyle imagery.
Then the part that's new in 3.0, and the reason we opened with agents: every twin publishes its product attributes as JSON-LD. Materials, construction, styling, details. 2-3x more than a typical product page carries, and all of it captured from the real thing rather than generated from a guess.
What it's not. Splats won't replace meshes. They capture and visualise; meshes design and edit. We're at our best on the materials that break 3D pipelines: suede, knitted mesh, stitching, weave, worn and weathered surfaces. The Virtual Studio is in beta and open to applications. Be curious about it, don't buy for it.
We'd value feedback over anything else today:
- Splat people: drag a PLY in and tell us where the viewer falls short.
- Ecommerce people: capture your hardest product and tell us what broke.
- Anyone building shopping agents: pull the JSON-LD and tell us what's missing.
You can try a live twin without signing up: https://app.voxelo.ai/viewer/md7.... Open it on your phone and place it in your room.
Vlad, Roman and I are in the comments all day. Ask us anything.
Ben
P.s. The boot in the film is a suede Chelsea boot. Suede is exactly the kind of surface a mesh pipeline hates. That's the point.
About Voxelo 3.0 on Product Hunt
“Phone video to photoreal 3D & JSON-LD in an hour”
Voxelo 3.0 launched on Product Hunt on October 22nd, 2026 and earned 84 upvotes and 9 comments, placing #11 on the daily leaderboard. Your products now have two shoppers: people and AI agents. Voxelo turns a three-minute phone video into a photoreal 3D twin in around an hour, and both can read it: interactive 3D, place-in-space AR with nothing to install, AI product and lifestyle imagery, and 2-3x the product attributes of a typical product page, published as JSON-LD. Already have splats? Host 100 free with viewer, AR links, editor and API. New in 3.0: API, analytics, publish to SuperSplat. Captured, not generated.
On the analytics side, Voxelo 3.0 competes within Artificial Intelligence, Augmented Reality and E-Commerce — topics that collectively have 568.4k followers on Product Hunt. The dashboard above tracks how Voxelo 3.0 performed against the three products that launched closest to it on the same day.
Who hunted Voxelo 3.0?
Voxelo 3.0 was hunted by Ben McKay. 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 Voxelo 3.0 including community comment highlights and product details, visit the product overview.
Ben McKay