Nano Banana Pro + Veo 3.1 is absolutely beast for Title Motion Graphics [AI Tutorial]
2K views · 2026-01-25
Motion Design
AI Cinematic Titles: Are motion designers going to be replaced by AI? [Honest opinion]
👉 If you're looking for a Media Producer, you can learn more about working with me here:
https://bozekmedia.com/
👉 PROMPTS LIST: https://docs.google.com/document/d/1_Su0-R6EjrD3uum9MfCDcJ-JYP2WBM0j34lL4HfeOnw/edit?usp=sharing
Can AI really handle cinematic text animation and motion typography?
In this video, I test multiple AI models to see how well they animate typography, where they fall short, and how you can improve the results with simple post-production techniques.
Typography Layouts Used in the video: https://elements.envato.com/film-titles-collection-MWYADV6
What’s inside:
• Testing cinematic typography layouts with AI
• Kling vs Google Veo 3 for text animation
• Why some prompts fail and others work
• How motion blur fixes AI animation artifacts
• Combining AI text with real footage
• Honest conclusions on where AI stands today
Tools used:
ChatGPT (custom prompts)
Kling 01
Google Veo 3
Nano Banana
After Effects
All examples, prompts, and workflows are shown step by step in the video.
--
00:00 Intro – Can AI really animate cinematic typography?
00:26 Why AI still struggles with film-level text composition
00:48 Preparing static typography frames
01:12 Start Frame to End Frame animation with Kling 01
01:37 Why some prompts can’t be tested in Veo
01:58 Clean motion design test (vector-style animation)
02:23 Kling vs Google Veo 3 comparison
02:46 Why Kling prompts work surprisingly well in Veo
03:08 Minimal font test – best results so far
03:32 Collage-style typography experiment
03:55 Why Veo’s motion quality stands out
04:24 Text-to-text transformation experiment
04:42 Compositing text with real footage
05:04 Final conclusions – where AI helps and where it doesn’t
👉 If you're looking for a Media Producer, you can learn more about working with me here:
https://bozekmedia.com/
👉 PROMPTS LIST: https://docs.google.com/document/d/1_Su0-R6EjrD3uum9MfCDcJ-JYP2WBM0j34lL4HfeOnw/edit?usp=sharing
Can AI really handle cinematic text animation and motion typography?
In this video, I test multiple AI models to see how well they animate typography, where they fall short, and how you can improve the results with simple post-production techniques.
Typography Layouts Used in the video: https://elements.envato.com/film-titles-collection-MWYADV6
What’s inside:
• Testing cinematic typography layouts with AI
• Kling vs Google Veo 3 for text animation
• Why some prompts fail and others work
• How motion blur fixes AI animation artifacts
• Combining AI text with real footage
• Honest conclusions on where AI stands today
Tools used:
ChatGPT (custom prompts)
Kling 01
Google Veo 3
Nano Banana
After Effects
All examples, prompts, and workflows are shown step by step in the video.
--
00:00 Intro – Can AI really animate cinematic typography?
00:26 Why AI still struggles with film-level text composition
00:48 Preparing static typography frames
01:12 Start Frame to End Frame animation with Kling 01
01:37 Why some prompts can’t be tested in Veo
01:58 Clean motion design test (vector-style animation)
02:23 Kling vs Google Veo 3 comparison
02:46 Why Kling prompts work surprisingly well in Veo
03:08 Minimal font test – best results so far
03:32 Collage-style typography experiment
03:55 Why Veo’s motion quality stands out
04:24 Text-to-text transformation experiment
04:42 Compositing text with real footage
05:04 Final conclusions – where AI helps and where it doesn’t