Multimodal
An AI model that understands and processes two or more data formats, such as text, images, audio, and video, together.
Detailed explanation
Why it matters for tool selection
Whether multimodal features are supported drastically changes the scope of a tool. Tools that only handle text cannot analyze screenshots, organize handwritten notes, interpret charts, or summarize videos. However, even among 'multimodal' tools, the supported input formats and their levels vary, so it is important to directly verify accuracy for the specific format you will use (images, audio, documents, or video).
What to check when selecting a tool
- Does it support the input formats (images, audio, PDFs, videos) you will actually work with?
- Does it accurately interpret tables, charts, and Korean text in images?
- Are the limits on input file size, length, and resolution sufficient for your tasks?
- Does it consistently answer queries that combine multiple formats at once?
Real-world use cases
If you upload a photo of a whiteboard taken during a meeting and ask, 'Organize the items written here into a table and suggest any missing schedules,' the multimodal model will read the handwriting, convert it to a table, and propose subsequent tasks. For text-only tools, this workflow is impossible from the very first step of interpreting the image.