A Flutter plugin enabling integration of TensorFlow Lite for on-device machine learning inference on Android and iOS. It allows developers to run pre-trained models directly within Flutter applications, supporting tasks like image classification, object detection, and speech recognition. The plugin provides a straightforward API to load models, process inputs, and retrieve predictions efficiently. Ideal for apps requiring real-time AI capabilities without relying on server-side processing. Compatible with both major mobile platforms and open-source under a permissive license.
Use cases
- Image classification in mobile apps
- Real-time object detection
- Speech recognition features
- On-device OCR processing
- Offline AI model execution
Key features
- Supports Android and iOS platforms
- Lightweight and efficient inference
- Easy model loading and prediction
- Pre-built integration with TensorFlow Lite
- Open-source and community-maintained
Suitable for
- Mobile app developers using Flutter
- Projects needing on-device AI
- Apps requiring low-latency inference
- Developers working with computer vision
- Teams building offline-capable ML applications
Considerations
- Requires model conversion to TensorFlow Lite format
- Limited to inference (not training)
- Performance depends on device hardware
- Model size impacts app bundle size
- No built-in model management or updates