What Is Multimodal AI?
Multimodal AI refers to models that can understand and generate multiple types of data — not just text, but also images, audio, video, and code.
Text-Only vs. Multimodal
| Capability | Text-Only Model | Multimodal Model |
|---|---|---|
| Read text | Yes | Yes |
| View images | No | Yes |
| Listen to audio | No | Some |
| Generate images | No | Some |
| Understand charts | No | Yes |
Popular Multimodal Models
| Model | Modalities | Provider |
|---|---|---|
| GPT-4o | Text, images, audio | OpenAI |
| Claude 3.5 Sonnet | Text, images | Anthropic |
| Gemini 1.5 Pro | Text, images, audio, video | |
| Llava | Text, images | Open-source |
Use Cases
- Image analysis: “What’s in this screenshot?” or “Review this UI design”
- Document understanding: Parse PDFs, charts, and diagrams
- Code from mockups: Generate HTML/CSS from a design image
- Accessibility: Describe images for visually impaired users
- Data extraction: Read tables from photos or scanned documents
Multimodal in Elvean
Elvean supports vision-capable models — drag and drop images into any conversation for analysis, code generation from screenshots, or document understanding.
Elvean brings all these concepts together in one native Mac app — local models, cloud APIs, agentic tools, and more.
Learn more about Elvean