Overview
flutter_tflite is a Flutter plugin that enables integration of TensorFlow Lite models into mobile applications for on-device machine learning. It supports both Android and iOS platforms, allowing developers to run inference directly on the device without relying on cloud services. This makes it ideal for real-time tasks such as image classification, object detection, and OCR. The plugin provides a straightforward API to load models, process inputs, and retrieve predictions efficiently. With access to the source code on GitHub, developers can extend or debug functionality as needed.
Use cases
- Image classification
- Object detection
- On-device OCR
- Real-time inference
- Mobile AI applications
Key features
- Cross-platform support (iOS & Android)
- Lightweight model execution
- Direct device inference
- Easy model loading
- Open-source with GitHub access
Suitable for
- Mobile developers
- Machine learning enthusiasts
- App builders needing on-device AI
- Projects requiring low-latency predictions
- Privacy-focused applications
Considerations
- Requires model conversion to TensorFlow Lite format
- Limited to supported model types
- Performance depends on device hardware
- No built-in model training
- Manual handling of input/output preprocessing