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OmniParser demo is a powerful AI-powered tool designed to convert images of screens into structured elements such as text, buttons, forms, tables, and more. It leverages advanced computer vision and machine learning algorithms to accurately extract and interpret visual data from screen images, enabling users to work with structured information rather than raw visuals. This tool is particularly useful for developers, designers, and analysts who need to process screen-based data efficiently.
• AI-powered image parsing: Accurately extracts text, buttons, and other elements from images of screens.
• Broad format support: Compatible with various image formats (PNG, JPG, BMP, etc.) and screen types (mobile, desktop, web).
• Export capabilities: Converts extracted data into structured formats like JSON, CSV, or XML for further processing.
• Multi-language support: Recognizes text in multiple languages, making it versatile for global use.
• Context-aware extraction: Identifies relationships between elements (e.g., form labels and inputs).
• Batch processing: Handles multiple images simultaneously for streamlined workflows.
What types of images are supported?
OmniParser demo supports most common image formats, including PNG, JPG, and BMP. It works best with clear, high-resolution images of screens.
How accurate is the extraction?
Accuracy depends on the quality of the input image and the complexity of the screen elements. Clear text and well-defined UI elements yield the best results.
Can I process multiple images at once?
Yes, the tool supports batch processing, allowing you to parse multiple images in a single session. This feature is ideal for large-scale projects.