Answer questions about documents or images
Ivy-VL is a lightweight multimodal model with only 3B.
finetuned florence2 model on VQA V2 dataset
Monitor floods in West Bengal in real-time
Create a dynamic 3D scene with random torus knots and lights
Chat about images using text prompts
Visualize AI network mapping: users and organizations
Display Hugging Face logo and spinner
Chat with documents like PDFs, web pages, and CSVs
Generate animated Voronoi patterns as cloth
Follow visual instructions in Chinese
Explore Zhihu KOLs through an interactive map
Add vectors to Hub datasets and do in memory vector search.
Document and visual question answering is a cutting-edge AI-powered tool designed to answer questions based on the content of documents or images. It leverages advanced natural language processing (NLP) and computer vision technologies to analyze and understand both textual and visual data, providing accurate and context-specific responses. This tool is ideal for extracting insights from unstructured data, such as PDFs, reports, or images, and is widely used in industries like education, research, and customer service.
• Multimodal Input Handling: Supports both text-based documents and visual data (e.g., images, charts, and diagrams).
• Advanced NLP Capabilities: Deep understanding of complex queries and context-specific language.
• Cross-Document Analysis: Can analyze multiple documents or images to answer a single question.
• Real-Time Responses: Provides answers quickly, even for large or complex datasets.
• Integration Flexibility: Can be integrated with various data sources and applications.
• Support for Multiple Formats: Works with PDFs, Word documents, JPGs, PNGs, and more.
• Multilingual Support: Answers questions in multiple languages.
What types of documents or images can I use?
You can use PDFs, Word documents, PowerPoint slides, images (JPG, PNG, etc.), and even scanned documents. The tool supports a wide range of formats to cater to diverse needs.
How accurate are the responses?
The accuracy depends on the quality of the input data and the complexity of the question. Advanced NLP and vision algorithms ensure high accuracy, but results may vary for very ambiguous or low-quality inputs.
Can I use this tool for non-English languages?
Yes, the tool supports multiple languages. It can process documents and images in various languages and provide responses in the same language as the input.