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To use Paddle OCR for Vietnamese, a developer can run the following Python code:
Paddle OCR is an ultra-lightweight OCR engine built on the PaddlePaddle deep learning framework. Unlike traditional OCR systems that rely on separate, rigid modules, Paddle OCR uses a pipeline of differentiable, trainable modules: text detection (DBnet or EAST), direction classification, and text recognition (CRNN with attention). Its key advantage is support for over 80 languages, including Vietnamese, with pre-trained models specifically tuned for diacritic-rich text. paddle ocr vietnamese
for line in result[0]: print(f"Text: {line[1][0]}, Confidence: {line[1][1]}") To use Paddle OCR for Vietnamese, a developer
Introduction
result = ocr.ocr('hoa_don_tien_dien.jpg', cls=True) For businesses digitizing Vietnamese contracts
The output successfully handles text like "Giá trị thanh toán: 1.234.567 đồng" instead of outputting "Gia tri thanh toan: 1.234.567 dong" .
Paddle OCR represents a significant advancement for Vietnamese text recognition. By combining deep learning with a language-specific pre-trained model, it overcomes the primary obstacle of diacritic sensitivity that plagues generic OCR tools. For businesses digitizing Vietnamese contracts, libraries preserving historical texts, or developers building form-processing applications, Paddle OCR offers a production-ready, accurate, and efficient solution. As the model continues to evolve with more Vietnamese training data, it promises to close the gap between OCR accuracy in English and other high-resource languages.