Text-only agents are just the beginning. The most valuable enterprise workflows are document-heavy, image-rich, or audio-based. Multimodal agents handle all of these input types natively, enabling automation that wasn't possible when agents could only read text.
The four modalities your agents can use
Text
Emails, chat messages, code, structured data โ the foundation all agents start with.
Images / Screenshots
UI analysis, chart interpretation, product photos, handwritten forms, visual inspection.
Documents (PDF, DOCX)
Contracts, invoices, reports โ native parsing preserves layout and table structure.
Audio / Video
Meeting transcription, call analysis, video frame extraction, spoken-language input.
2026 multimodal model capabilities
| Model | Images | PDFs | Audio | Video |
|---|---|---|---|---|
| Claude Sonnet 4 | โ | โ | Via transcription | โ |
| GPT-4o | โ | โ | โ Native | Frame extraction |
| Gemini 2.5 Pro | โ | โ | โ Native | โ Native |
| Llama 3.2 Vision | โ | Via parsing | โ | โ |
Building a multimodal document agent
High-value multimodal use cases
- Contract review: Upload a PDF contract โ agent extracts key terms, flags non-standard clauses, and compares against your standard template.
- Invoice processing: Process PDF + image invoices with native layout understanding โ no brittle regex parsing needed.
- Meeting summarization: Record โ transcribe โ summarize โ extract action items. One agent, four steps.
- UI testing: Screenshot-based agents can navigate web UIs, fill forms, and validate that rendered output matches design specs.
- Visual QC: Manufacturing inspection agents process product images to detect defects faster and more consistently than human inspectors.
Multimodal agents on MoltBot
Text, images, PDFs, audio โ unified input API across Claude, GPT-4o, and Gemini. 14-day free trial.
Start Free Trial โ