AI glossary for businesses
Multimodal AI
In short
Multimodal AI is AI that can work with more than one type of content, such as text, images, audio and video, within the same model. You can show it a photo and ask about it, or speak and get a written answer. Recent versions of ChatGPT, Google Gemini and Claude all accept images as well as text.
How multimodal AI works
Early AI tools did one thing. A text model read text. An image model looked at pictures. Multimodal models learn from text, images and sometimes sound at the same time, so they link what a word means to what it looks or sounds like. When you upload a photo of a shelf and ask "which products are missing?", the model connects the picture to your question in one step.
Think of a colleague who reads the email, opens the attached photo and listens to the voice message before replying. A text-only tool is like a colleague who can only read the email. The multimodal one sees the full picture.
For users, multimodal means three things. You can give the AI images, screenshots, PDFs or audio as input. It can describe, compare or extract details from them. And some tools can also produce images or speech as output.
In practice for a small business
A Greek fashion e-shop photographs new arrivals. A multimodal model looks at each photo and drafts a product description in Greek and English, with suggestions for colour, cut and fabric that a person then verifies. The use case on AI for product descriptions covers the workflow.
Other everyday examples: a marketing team uploads a screenshot of last month's ad results and asks for a summary; a hotel turns a recorded voice note from the morning meeting into a task list; a technician photographs an equipment label and asks for the matching section of the manual.
Tools to try include ChatGPT, Google Gemini and Claude for image and document input, and Microsoft 365 Copilot inside Office files. Each handles formats a little differently, so test with your own material.
Why it matters and what to watch out for
Seeing is not understanding. Models can misread small text, colours or quantities in a photo. Check details that matter, like sizes, prices and materials. Read more about AI hallucination.
Images carry hidden data. Photos may show faces, customer names on screens or location data inside the file. Under GDPR these can be personal data. Crop or blur before uploading, and use business plans with clear data terms.
Bigger files cost more. Images, audio and video need more processing than text. Measure usage in a pilot before you scale.
Generated content may need labelling. Under the EU AI Act, some content that is generated or manipulated with AI must be disclosed as such. Check with your legal advisor how this applies to your marketing.