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Document Layout Detection is a powerful tool in the Document Analysis category designed to parse document layouts from images. It enables the identification and categorization of different elements within a document, such as text, images, tables, and headings. This technology is essential for tasks like data extraction, document organization, and automated workflows.
• Layout Parsing: Accurately identifies and categorizes document elements like text, images, tables, and headers.
• Element Classification: Distinguishes between different types of content within a document.
• Multi-Format Support: Works with various document formats, including PDFs, images, and scanned files.
• High Accuracy: Delivers precise results even with complex or degraded document quality.
What formats does Document Layout Detection support?
Document Layout Detection supports various formats, including PDFs, JPEGs, PNGs, and scanned document images.
How accurate is the layout detection?
The accuracy is generally high, even with complex layouts, but performance may vary with degraded or low-quality inputs.
Can it handle multi-page documents?
Yes, the tool can process multi-page documents, analyzing each page individually and providing consolidated results.