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# TensorFlow Lite Converter
The TensorFlow Lite Converter converts TensorFlow graphs into
TensorFlow Lite graphs. There are additional usages that are also detailed in
the usage documentation.
## Where the converter fits in the TensorFlow landscape
Once an application developer has a trained TensorFlow model, the TensorFlow
Lite Converter will accept
that model and generate a TensorFlow Lite
[FlatBuffer](https://google.github.io/flatbuffers/) file. The converter currently supports
[SavedModels](https://www.tensorflow.org/guide/saved_model#using_savedmodel_with_estimators),
frozen graphs (models generated via
[freeze_graph.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/freeze_graph.py)),
and `tf.Keras` model files. The TensorFlow Lite FlatBuffer file can be shipped
to client devices, generally mobile devices, where the TensorFlow Lite
interpreter handles them on-device. This flow is represented in the diagram
below.
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