Launching today
FUTO Swipe
Open models for on-device swipe typing
88 followers
Open models for on-device swipe typing
88 followers
FUTO Swipe is a family of small, open models for accurate swipe typing. It includes a layout-agnostic encoder, a layout-specific decoder, and a lightweight context language model. The full system runs efficiently on-device with a very small footprint, and FUTO has also released the 1 million swipe dataset used to train it.
Flowtica Scribe
Hi everyone!
Swipe typing is one of those features that seems simple, but is actually incredibly hard to get right without relying on closed keyboard systems.
FUTO built a three-model system to solve this: a 635K-parameter layout-agnostic encoder, a 300K-parameter QWERTY decoder, and a 1.5M context language model. Because the footprint is tiny, the whole thing can run locally in milliseconds.
Releasing the weights and the C++ beam search library means people can now build proper swipe typing for VR, laptops, or alternative mobile platforms without relying on closed-source blobs.
The best way to experience it today is FUTO Keyboard.
Interesting launch 🚀
I like that this runs fully on-device instead of depending on closed keyboard systems or cloud inference.
Curious how well the model handles different typing styles over time. Is there any personalization layer planned, where the keyboard can adapt locally to a user's common words, slang, or swipe patterns without sending data off-device?
Open models for keyboard input feels like an important direction.
Releasing both the models and the 1M-swipe dataset is what stands out here. Beyond keyboards, have you seen developers experimenting with FUTO Swipe for non-traditional input systems like VR, AR, smart TVs, or accessibility-focused interfaces? Curious which unexpected use cases have emerged so far.
Velocity: AI User testing
Well done, this is a really worthwhile project, thanks for sharing. There seems to me to be a lot more scope for open-standard solutions being picked up and baked into devices, and maybe even built upon as a store, like Chrome's plugins. That would be a big unlock across devices.
LottieFiles
shipping open on-device models AND releasing the 1M swipe dataset is the rare open-source move that actually moves the field. respect.