ThumbnailAI analyses an uploaded thumbnail and returns a rating with strengths, weaknesses and concrete changes, plus alternative title suggestions. It works on the highest-leverage variable in a video’s performance: the same video with a better thumbnail collects materially more clicks.
Feedback before publishing is what creators lack. Analytics reveal a weak thumbnail only after the video has burned its initial impressions, and by then the recommendation system has already formed a view of the video.
Ratings reflect general click-through patterns rather than a specific channel’s audience, so treat suggestions as a prompt for a second version and use the channel’s own testing where the platform allows it. There is a free path with a low-cost paid tier.
