FUTO Swipe
FUTO Swipe is an advanced, open-source swipe typing prediction system designed for efficiency and accuracy, even on low-end devices.
Our verdict
Who it's for
Accurate swipe typing prediction for any device
Who should look elsewhere
The highly accurate Decoder model is currently only available for QWERTY English.
Pros
- +Achieves high prediction accuracy with a low error rate.
- +Designed for efficient operation on resource-constrained devices.
- +Open-source models and data promote transparency and community development.
- +Provides a dedicated C++ library for straightforward integration.
Cons
- −The highly accurate Decoder model is currently only available for QWERTY English.
- −Requires integration of the `swipe-library` for full functionality.
Key features
- ✓Three-model prediction architecture (Encoder, ContextLM, Decoder)
- ✓Universal layout-agnostic and language-agnostic Encoder model
- ✓Context-aware prediction refinement with ContextLM
- ✓Language- and layout-specific Decoder for high accuracy
- ✓Low parameter count for efficient execution on low-end devices
- ✓C++ inference library (`swipe-library`) for decoding and beam search
- ✓Publicly available dataset of over 1 million QWERTY English swipes
- ✓Low environmental cost for model training
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| FUTO Keyboard + models | $0 | month | Use in FUTO Keyboard v0.1.29+; 1M swipe dataset MIT on Hugging Face; Models: FUTO Model License; library GPL |
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