Vision-Language Model (VLM)
A vision-language model (VLM) is an AI system that can process, understand, and reason about both visual inputs (images, screenshots, diagrams) and text simultaneously within a single model architecture. VLMs encode images into the same representational space as text, enabling tasks like visual question answering, image captioning, document understanding, and visual reasoning that require interpreting both modalities together.
Example
You upload a photograph of a restaurant receipt to a VLM and ask: "What was the most expensive item, and was the tip calculated correctly?" The model reads the text on the receipt image, identifies items and prices, finds the most expensive dish, computes the expected tip, and compares it to the written tip — all from a single image input.
Put this into practice
Build polished, copy-ready prompts in under 60 seconds with SurePrompts.
Try SurePrompts