Multimodal AI works across different kinds of information
Multimodal AI can process more than one modality, such as text, images, audio, or video. Early chatbots were mainly text systems. Current versions of ChatGPT, Claude, and Gemini can combine several input types in one conversation.
What can it do?
- Answer questions about a photograph or document scan
- Turn handwritten notes or a whiteboard into text
- Read a chart or table and explain the result
- Transcribe and summarize recorded speech
- Create an image from a written instruction
Being able to show the AI something instead of describing it can make the interface more accessible and the instruction more precise.
A modality is a form of information. A system that handles only text is single-modal; one that combines text and images is multimodal. The comparison with human senses is imperfect, but it can help explain the idea.
Everyday examples
You can photograph the contents of a refrigerator and ask for dinner ideas, translate a sign while traveling, or show a worksheet and ask for a hint. These are multimodal interactions.
Smartphone cameras and AI are a particularly useful combination. When a question is hard to put into words, taking a picture and asking about it can be the most direct input.
Real-time video understanding and smart glasses may expand this pattern further. AI interaction is moving from only typing messages toward systems that can see and hear the situation with the user.