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Document Layout Detection is a cutting-edge tool within the Document Analysis category, designed to parse document layouts from images. Utilizing advanced AI technology, this tool identifies and categorizes elements within a document image, such as text, tables, forms, and other structural components. It enables users to automatically understand and extract meaningful information from unstructured or semi-structured document layouts, making it an essential tool for automating workflows and enhancing OCR (Optical Character Recognition) processes.
• Document Type Support: Automatically identifies document types, including invoices, receipts, forms, and contracts.
• Text and Layout Detection: Detects and extracts text while preserving the original layout, including headings, paragraphs, and lists.
• Table and Form Recognition: Accurately identifies tables, forms, and other structured data within documents.
• Multi-Language Support: Works with documents written in multiple languages, breaking language barriers.
• Section Labeling: Labels different sections of a document, such as headers, footers, and body content.
• Image Quality Handling: Processes documents with varying levels of quality, including tilted or skewed images.
• Customization Options: Allows users to fine-tune settings for specific document types or use cases.
• Integration-Friendly: Easily integrates with existing workflows and systems via APIs.
What file formats are supported?
Document Layout Detection supports a variety of image formats, including JPEG, PNG, PDF, BMP, and TIFF.
How accurate is the layout detection?
Accuracy depends on the quality of the input image. High-quality, well-lit images with clear text yield the best results.
Can it handle rotated or skewed documents?
Yes, the tool includes features to detect and correct document orientation, improving accuracy even for rotated or skewed images.