AI Thumbnail Analyzer — vision-model CTR breakdown
Most thumbnail tools score color and contrast with heuristics. We use a real multimodal vision model to score CTR the way a YouTube viewer's eye actually scans it — focal hierarchy, face emotion, text legibility, and visual congruence with the title.
Real vision model, not heuristics
Scoring is multimodal — the model sees the thumbnail the way a human does, not as a histogram.
Focal hierarchy
We map what the eye lands on first, second, third — and flag when the order is wrong.
Title-thumbnail congruence
Pair your title with the thumbnail and we score whether they reinforce or contradict each other.
Frequently asked
How is this different from a contrast checker?
Contrast checkers score pixels. We score what the brain does with those pixels — face pull, focal landing, emotional valence.
Does it work for Shorts and Reels covers?
Yes — 9:16 covers are scored on the same axes as 16:9 thumbnails.
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