What Is Multimodal AI
AI that handles not just text but multiple modalities like image, audio, video, 3D, code. Reaching practical level in 2024-2026, the scope of business application widened at once.
Main Models' Support Status
| Model | Input | Output |
|---|---|---|
| GPT-5.4 | Text, image, audio, video | Text, image (GPT Image), audio |
| Claude Opus 4.7 | Text, image, PDF | Text |
| Gemini 3.1 Pro | Text, image, audio, video | Text, image |
| Llama 4 | Text, image, video | Text |
Main Input Use Cases
Image Understanding
- Screenshot analysis (UI bug reports, data extraction)
- Reading charts/graphs
- Product appearance inspection
- Receipt/business-card/document OCR
- Medical-image assistance (under regulation)
Speech Recognition/Analysis
- Meeting transcription
- Sentiment analysis (voice tone, stress detection)
- Music/sound-effect classification
- Multilingual interpreting (real-time)
Video Analysis
- Surveillance-camera anomaly detection
- Sports-video analysis
- Auto-chaptering of YouTube videos
- Exam-question generation from video materials
Main Output Use Cases
Image Generation
Midjourney, DALL-E, Flux, Stable Diffusion. See the separate article "Image-Prompt Compendium."
Speech Synthesis
ElevenLabs v3, Play 3.0. Read-aloud, narration, voice cloning.
Video Generation
Sora 2, Runway Gen-4, Veo, Kling.
3D Generation
Meshy, Tripo, Luma Genie.
Business Application Examples
Document Processing
Photograph invoices/contracts with a phone → convert to structured data → auto-enter into ERP.
Customer Support
Identify the problem from a screenshot the customer sent → present a solution.
Manufacturing
Defect detection from production-line images → reduce inspection labor (Landing AI line).
Medical
Assisted diagnosis of X-ray/endoscopy images. Under regulation, product provision needs pharma-law approval.
Marketing
Auto-generate marketing copy from product photos, optimal cropping of social images.
Billing Model
Different rates per modality:
- Image input: a few to tens of yen per image (resolution-dependent)
- Audio input: a few yen per minute
- Video input: a few to tens of yen per second (expensive)
- Audio output: billed by character count, ElevenLabs from a few thousand yen/month
- Video output: tens to hundreds of yen per shot
Multimodal-Specific Pitfalls
- Dropping image resolution too far lowers recognition accuracy
- Video billing balloons by the second; extract only needed parts
- Privacy care for images containing personal info
- "Dialects" and "jargon" misrecognized in audio
- Even multimodal, it's text-thinking, so complex visual reasoning has limits
2026 Trends
- Improved video → structured-data conversion accuracy
- Full spread of real-time voice dialogue (Advanced Voice)
- Multimodal + agent for "operate while watching the screen"
- Business application of 3D/spatial AI
Summary
Multimodal AI "greatly expands what's possible with non-text input/output." Business application advances in document processing, inspection, customer support, education, medical. Mind cumulative cost for video/audio; workflow design that passes only needed parts to AI is important.
