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Extract text from images using OCR
Python3 package for Chinese/English OCR, with paddleocr-v4 o
Extract text from images
Extract text from images using OCR
Extract text from images using OCR
Convert images to text using OCR
Extract text from images
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Extract text from handwritten images
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OCR (Optical Character Recognition) is a technology used to convert handwritten or printed text from images, scanned documents, or PDFs into editable digital text. It enables users to extract text from non-editable sources, making it easier to edit, share, or analyze the content. This tool is particularly useful for digitizing documents, books, invoices, and other textual materials.
• Multi-language support: OCR can recognize text in multiple languages, catering to a global audience.
• High accuracy: Advanced OCR systems provide precise text recognition, even from poor-quality images.
• Document scanning: Supports scanning of various document types, including PDFs, images, and paper scans.
• Text editing: Allows users to edit extracted text directly within the application.
• File export: Enables saving of converted text in formats like TXT, DOCX, or PDF.
• Offline access: Many OCR tools work offline, ensuring data privacy and usability without internet.
What file formats does OCR support?
OCR typically supports formats like JPG, PNG, PDF, BMP, and TIFF for image inputs, and exports text as TXT, DOCX, or PDF.
Can OCR work with handwritten text?
Yes, many advanced OCR tools can recognize handwritten text, though accuracy may vary based on handwriting quality and the tool's capabilities.
Is OCR secure for sensitive documents?
Most OCR tools, especially offline versions, are secure for sensitive documents since they do not upload data to the internet. Always choose a reputable OCR application to ensure privacy.