Vietnamese | Paddle Ocr

from paddleocr import PaddleOCR ocr = PaddleOCR(lang='vi', # Specify Vietnamese use_angle_cls=True, show_log=False)

result = ocr.ocr('hoa_don_tien_dien.jpg', cls=True)

for line in result[0]: print(f"Text: {line[1][0]}, Confidence: {line[1][1]}") paddle ocr vietnamese

Introduction

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" . from paddleocr import PaddleOCR ocr = PaddleOCR(lang='vi', #

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.

To use Paddle OCR for Vietnamese, a developer can run the following Python code: Unlike traditional OCR systems that rely on separate,

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.

In the era of digital transformation, Optical Character Recognition (OCR) has become a cornerstone technology for converting physical documents into machine-readable data. While many OCR engines perform well on Latin-based languages like English, they often struggle with languages containing diacritics—such as Vietnamese. Vietnamese is a tonal language that uses a modified Latin alphabet with numerous accent marks (e.g., á, à, ả, ã, ạ). Misrecognizing a single diacritic can change the entire meaning of a word. , developed by Baidu, has emerged as a highly effective solution for Vietnamese text extraction due to its deep-learning architecture and robust support for complex scripts.