Overview
VisionIQ is an AI-powered multi-image analysis application built with Python, Streamlit, and Google's Gemini API. The application allows users to upload up to 8 images and interact with them using natural-language AI. It provides deep image analysis, comparison of multiple images, object finding, question answering, and suggestions for useful image actions. The application follows a pipeline where uploaded images are converted to Base64, MIME types are detected, and images plus user instruction are sent to Gemini for analysis. The Gemini API key is loaded from an environment variable and is not hard-coded into the source code.
Pricing
Free
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Use Cases
- Teams use VisionIQ to analyze uploaded images and get information about objects, people, animals, vehicles, background, visible text, scene, and important visual details.
- Teams use VisionIQ to compare multiple images for similarities, differences, objects, scene changes, composition, text, and visual elements.
- Teams use VisionIQ to find specific objects or people across images by describing what they want to find.
- Teams use VisionIQ to ask natural-language questions about their uploaded images.
- Teams use VisionIQ to get suggestions for useful actions based on the uploaded image collection, such as extracting information, finding objects, comparing images, extracting text, categorizing images, finding similarities, finding differences, and generating follow-up questions.
Features
Upload up to eight images
Analyze multiple images together
Compare uploaded images
Search images by visual content
Ask natural language image questions
Use Gemini for image analysis
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