Overview
The onnxruntime Flutter plugin enables seamless integration of ONNX (Open Neural Network Exchange) models into Flutter applications across Android, iOS, macOS, Windows, and Linux. It provides a fast, flexible, and easy-to-use Dart API for running machine learning inference directly within apps. Ideal for deploying pre-trained models with minimal overhead, it supports a wide range of ML tasks including image recognition, object detection, and natural language processing. The plugin leverages the performance of the underlying ONNX Runtime engine while maintaining cross-platform compatibility.
Use cases
- Image classification
- Object detection
- Natural language processing
- Real-time inference in mobile apps
- Desktop ML applications
Key features
- Cross-platform support
- High-performance inference
- Simple Dart API
- ONNX model compatibility
- Lightweight integration
Suitable for
- Developers building ML-powered Flutter apps
- Teams using ONNX models
- Applications requiring real-time inference
- Mobile and desktop ML deployment
- Projects needing platform-agnostic ML
Considerations
- Requires ONNX model conversion
- Limited to ONNX-compatible models
- Model size impacts app bundle
- No built-in model training
- Platform-specific runtime dependencies