Multimodal AI & AI Media
Use AI that sees, hears and creates: vision understanding, image generation, video and voice, multimodal product use cases, and rights, safety, deepfakes and content labelling.
Multimodal AI & AI Media
Use AI that sees, hears and creates: vision understanding, image generation, video and voice, multimodal product use cases, and rights, safety, deepfakes and content labelling.
In one line
Multimodal AI understands and generates more than text: images, audio and video. It powers features like reading invoices from photos, voice assistants, product images and video explainers, along with new risks like deepfakes.
The 6 classes
Multimodal basics
Know what modern models can see, hear and create.
- Models now take and produce many modalities.
- Choose the modality users already use.
- Voice matters in India (literacy, languages).
Vision understanding use cases
Use AI to read and interpret images.
- Vision unlocks offline-to-digital workflows.
- Mask personal data.
- Measure accuracy on your own images.
Image generation in products
Use generative images responsibly.
- Keep brand rules in the brief.
- Human review before publishing.
- Prefer tools with clear commercial-use terms.
Voice and video
Build with speech and video AI.
- Test with real accents and noise.
- Video AI is great for explainers and summaries.
- Watch latency and cost.
Rights, safety, deepfakes and labelling
Manage the risks of AI media.
- Consent for likeness and voice.
- Label AI media.
- Check commercial-use rights.
Final project
Ship a multimodal feature.
- Evaluate on real samples.
- Design for consent and privacy.
- Estimate cost per use.
Interview questions
What is multimodal AI?
Models that understand and/or generate several types of data: text, images, audio and video.
A good vision use case?
Reading receipts or forms from photos to remove manual entry, with accuracy checks and privacy.
Risks of AI media?
Copyright, consent for likeness and voice, deepfakes, misinformation; mitigate with consent, labelling, C2PA and moderation.
Why voice in India?
Many users prefer speaking, many languages and literacy levels; voice widens access.
