PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters
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PP-OCRv6 is the latest generation of an optical character recognition model family that detects and recognizes text across various real-world scenarios including documents, screenshots, and industrial labels. The model family offers three tiers ranging from 1.5M to 34.5M parameters, with the medium and small tiers supporting 50 languages including Simplified Chinese, Traditional Chinese, English, Japanese, and Latin-script languages. PP-OCRv6 matters because it provides lightweight, production-ready OCR with improved accuracy compared to its predecessor while remaining deployable across different runtime environments. The model can be used with multiple inference backends including Transformers, ONNX Runtime, and Paddle Inference, making it accessible to different development environments.
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