PaddleOCR 3.7 expands inference options for OCR
In a post published on June 17, 2026, PaddleOCR announced an ONNX Runtime inference backend and CPU inference via OpenVINO, as well as GPU inference via CUDA and TensorRT. The post says PP-OCRv6 models can be up to 3.9 times faster on CPU.
Source: PaddleOCR 3.7 adiciona suporte ao ONNX Runtime (github.com). Text prepared with AI from this source.
What happened and what to do
In a post dated June 17, 2026, PaddleOCR announced that version 3.7 adds an ONNX Runtime inference backend, plus CPU support via OpenVINO and GPU support via CUDA and TensorRT. According to the post, PP-OCRv6 models are up to 3.9 times faster on CPU.
A company running OCR can compare backends and hardware using its own images and workloads, measuring speed, quality, and resource use before selecting a configuration. A testing and monitoring pipeline can track these metrics and detect changes after updates; generative AI is not needed to address this case.
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