Ask questions about text or images
a tiny vision language model
demo of batch processing with moondream
Answer questions about documents and images
Media understanding
Browse and compare language model leaderboards
Display a customizable splash screen with theme options
Chat with documents like PDFs, web pages, and CSVs
Display leaderboard for LLM hallucination checks
Convert screenshots to HTML code
Visual QA
Explore a multilingual named entity map
Ask questions about images to get answers
GenAI Document QnA With Vision is a cutting-edge AI-powered tool designed to answer questions about text and images within documents. It combines advanced natural language processing (NLP) with visual understanding to provide accurate and context-aware responses. This tool is ideal for users who need to extract insights from multimodal content, such as PDFs, images, and other document formats.
• Multimodal Question Answering: Ask questions about both text and images within documents. • Support for Multiple Formats: Works with PDFs, images, Word documents, and other popular file types. • Context-Aware Responses: Provides answers based on the content and visual context of the document. • Cross-Language Support: Answers questions in multiple languages. • Integration with Productivity Tools: Seamless integration with popular productivity apps for easy document processing.
What file formats are supported by GenAI Document QnA With Vision?
GenAI Document QnA With Vision supports a wide range of file formats, including PDF, DOCX, JPG, PNG, and many others. For a full list, refer to the tool's documentation.
Can I ask questions about images without any text?
Yes, the tool is designed to handle visual content. You can ask questions about images alone, and the AI will analyze the visual data to provide answers.
What if the document is in a language other than English?
GenAI Document QnA With Vision supports multiple languages. Simply upload the document, ask your question in your preferred language, and the AI will process the content accordingly.