Upload 2-3 thumbnails. AI-vision-based predicted CTR + pattern recommendations from the YouTube cluster playbook.
Last verified · 2026-10-23 · by Moe Ameen
Published 2026-05-19 · Updated
Short answer
The YouTube thumbnail CTR predictor uses an AI vision model to score 1 to 3 thumbnails on visual hierarchy, readability, curiosity gap with your title, contrast and text legibility. It then estimates a CTR band, picks a winner and suggests fixes. The band is a model estimate, not YouTube data. For context, YouTube says half of all channels and videos have an impressions CTR between 2% and 10%.
Key takeaways
Upload 1-3 thumbnails. AI-vision analyzes hierarchy, readability at thumb size, curiosity gap with title, contrast, and legibility. Predicts CTR band and prescribes specific fixes.
A real photo post generated in the Kompozy workspace. It is an image format sample, not a YouTube thumbnail.

Best for:
Not ideal for:
It is directional. The model scores visual factors, but real CTR also depends on your audience, your content type and where the thumbnail appears on YouTube. Use the band to compare your own options, not as a forecast.
The tool accepts up to 3 images per run, which keeps the comparison focused. Run it again if you have more variants.
YouTube says half of all channels and videos have an impressions CTR between 2% and 10%. CTR changes with content, audience and traffic source, and impressions from your channel page tend to click better than the homepage. Compare against your own past videos.
Often. It scores readability at small mobile size and text legibility separately, then lists fixes such as low-contrast text on a busy background.
We read the predictor's prompt and image limit in Kompozy's source code and checked the CTR figures against YouTube Help on 2026-10-23. We removed CTR tiers and pixel sizes we could not source.
Sources
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