#228 · Primary category： Computer Vision
fast-plate-ocr
Lightweight & fast OCR models for license plate text recognition.
Project last updated：03/14/26
GitHub Stars
737
Forks
96
Contributors
1
License
MIT
Why we included this project
License plate recognition usually splits into two jobs: finding the plate in a frame, then reading the characters on it. This library covers the second part. It takes cropped plate images, so you feed it the output of a separate plate detector, and it returns the text along with an optional region or country prediction. The models are small and run through ONNX Runtime, which keeps inference fast enough for edge devices and busy camera feeds. If the pretrained weights do not fit your plates, you can train your own from scratch on TensorFlow, JAX, or PyTorch through the Keras 3 backend, and a simple CLI handles training and validation without a custom pipeline.
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