Models that natively process more than one input type — text, images, audio, or video.
2 min readupdated 2026-06-21
/ quick answer
Multimodal AI refers to models trained to understand and generate across modalities. They can read a screenshot, describe a chart, transcribe audio, or watch a short video — enabling agents that act on what users actually see and say, not just on typed text.
Models that natively process more than one input type — text, images, audio, or video. Multimodal AI refers to models trained to understand and generate across modalities. They can read a screenshot, describe a chart, transcribe audio, or watch a short video — enabling agents that act on what users actually see and say, not just on typed text. In practice: A QA agent takes a screenshot of a broken UI, reads the error text in the image, locates the offending React component, and proposes a fix — all in one pass. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
Multimodal AI refers to models trained to understand and generate across modalities. They can read a screenshot, describe a chart, transcribe audio, or watch a short video — enabling agents that act on what users actually see and say, not just on typed text.
Example
A QA agent takes a screenshot of a broken UI, reads the error text in the image, locates the offending React component, and proposes a fix — all in one pass.
Multimodal AI refers to models trained to understand and generate across modalities. They can read a screenshot, describe a chart, transcribe audio, or watch a short video — enabling agents that act on what users actually see and say, not just on typed text.
What is an example of Multimodal AI?
A QA agent takes a screenshot of a broken UI, reads the error text in the image, locates the offending React component, and proposes a fix — all in one pass.
Why does Multimodal AI matter for AI and automation?
Models that natively process more than one input type — text, images, audio, or video. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.