TensorFlow Lite Flutter Plugin
A Flutter plugin providing fast, flexible TensorFlow Lite inference with multi-platform delegate support.
What is TensorFlow Lite Flutter Plugin?
TensorFlow Lite Flutter plugin is a Flutter package that enables developers to run TensorFlow Lite machine learning models directly within Flutter applications. It provides a flexible and fast interface for model inference, supporting hardware acceleration across Android, iOS, and desktop platforms. The plugin binds directly to the TensorFlow Lite C API, ensuring low-latency performance similar to native implementations.
Flutter developers who need to integrate on-device machine learning models into their mobile or desktop applications, particularly those requiring cross-platform support and hardware-accelerated inference.
Developers choose this plugin for its near-native inference speeds, multi-platform delegate support (NNAPI, GPU, Metal, CoreML), and API consistency with TensorFlow Lite's official Java and Swift SDKs, making it easier to port existing ML workflows to Flutter.
Overview
TensorFlow Lite Flutter Plugin
Use Cases
Best For
- Adding on-device text classification to Flutter apps
Related Projects
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