DefinitionVisionAudio

What is multi-modal AI?

Multi-modal AI refers to AI systems that can process and generate multiple types of data — text, images, audio, video, and code — within a single model. It enables richer interactions where users can combine different input types in their prompts.

Glossary

AI terms explained

50+ terms

Defined

Multi-Modal Capabilities

What multi-modal AI can do

Every feature designed to help your team work smarter with AI.

Vision understanding

Process and analyze images, screenshots, charts, and documents alongside text prompts for richer context.

Document analysis

Upload PDFs, spreadsheets, and documents for the AI to read, summarize, and answer questions about.

Code and text

Seamlessly switch between code generation, natural language, and technical documentation in a single conversation.

Image generation

Generate images from text descriptions, edit existing images, and create visual content through natural language prompts.

Cross-modal reasoning

Reason across data types — analyze an image and write text about it, or generate code based on a diagram.

Team workflows

Build team prompt templates that leverage multi-modal capabilities for richer, more effective AI interactions.

Benefits

Why multi-modal AI matters for teams

Enable richer AI interactions that combine text, images, and documents

Automate workflows that previously required multiple specialized tools

Improve AI understanding by providing visual context alongside text prompts

Unlock new use cases like document analysis, image-based Q&A, and visual content creation

Standardize multi-modal prompt templates that help teams leverage new capabilities

Stay ahead of AI capabilities as models become increasingly multi-modal

FAQ

Frequently asked questions

Which AI models support multi-modal input?

GPT-4o, Claude 3.5, and Gemini all support multi-modal input including text and images. Capabilities vary by model — some support audio and video as well. Check each provider for current capabilities.

How does TeamPrompt work with multi-modal prompts?

TeamPrompt manages the text component of prompts that teams use with multi-modal AI tools. Templates can include instructions for how to combine text prompts with visual or document inputs.

Is multi-modal AI more accurate?

Multi-modal AI can be more accurate when visual or document context improves understanding. Providing a screenshot alongside a text question often produces better results than text alone.

Explore more solutions

What Is Prompt Management? Definition & Guide

Learn what prompt management is, why it matters for teams using AI, and how TeamPrompt helps you organize, share, and govern prompts at scale.

Learn more

What Is Prompt Analytics? Definition & Guide

Learn what prompt analytics is, what metrics matter, and how TeamPrompt helps teams measure and optimize their AI prompt performance.

Learn more

What Is Data Loss Prevention (DLP)?

Data loss prevention (DLP) detects and blocks sensitive data from reaching AI tools. Learn how DLP works and how TeamPrompt implements it.

Learn more

What Is AI Governance? Definition & Framework

Learn what AI governance is, why organizations need it, and how TeamPrompt helps implement AI governance policies for team AI usage.

Learn more

Explore More

Features Pricing Blog Help Center Healthcare Finance Legal Technology

How it works

Three steps from install to full AI security coverage.

Install

Add the browser extension to Chrome, Edge, or Firefox — or deploy it to your whole team via MDM. No proxy or VPN needed.

Configure

Enable the compliance packs for your industry, set DLP rules, and add your team's prompts to the shared library.

Protected

Every AI interaction is scanned in real time. Sensitive data is blocked before it leaves the browser. Your team has a full audit trail.

Ready to secure your team's AI usage?

Drop your email and we'll get you set up with TeamPrompt.

Free for up to 3 members. No credit card required.