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LayoutLM DocVQA x PaddleOCR is a powerful tool designed to extract text from scanned documents. It combines the capabilities of LayoutLM, a pre-trained model for document visual question answering, and PaddleOCR, a robust OCR (Optical Character Recognition) system. This integration enables accurate text extraction from images of documents, leveraging advanced layout understanding and text recognition technologies.
# Example usage:
from paddlexOCR import PaddleOCR
from layoutlm import Document
# Initialize models
ocr = PaddleOCR(lang='en')
document = Document.from_file("document.pdf")
# Process document
text_regions = document.analyze_layout()
extracted_text = ocr.ocr(text_regions)
# Output the result
print(extracted_text)
What formats does LayoutLM DocVQA x PaddleOCR support?
It supports PDF, JPEG, PNG, and BMP formats for document processing.
Can it handle handwritten text?
While it is primarily designed for printed text, it may have limited success with clear, high-quality handwritten text.
Is it suitable for multi-language documents?
Yes, it supports multiple languages, including English, Chinese, French, German, and many others, thanks to PaddleOCR's multi-language capabilities.