Thumbnails and titles

Thumbnail concepts
worth clicking.

Generate thumbnails from a title or a video, teach the AI your own visual style, and check text size, subject placement, facial focus, contrast and simplicity before anything goes live.

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One feature inside Global Creator Studio — discover, create, publish, analyze, improve.

Generate from title

Start with the title you already wrote.

Paste a title and get thumbnail concepts built around its strongest idea — the subject, the promise and the number or word worth putting on screen. Each concept comes with the reasoning, so you can tell why it was built that way.

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Each concept includes

A rendered thumbnail image

The visual idea in one line

Suggested on-screen text, kept short

Composition notes: subject, focus, contrast

Regenerate or restyle without starting over

Generate from video

Pull the thumbnail out of the footage.

Point it at your video and it finds the moments worth freezing — strong expressions, clear subjects, high-contrast frames — then builds concepts from those, either as a cleaned-up still or as a fresh generated image in the same style.

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From the video

Candidate frames

Auto-picked

Subject focus

Detected

Concepts

3–5 variants

Style

Your library

Reference style library

Teach it what your channel looks like.

Upload the thumbnails that worked for you, plus any references you admire. The library becomes the style the generator works from.

U

Upload history

Add your own past thumbnails so the AI learns your visual habits.

S

Saved styles

Keep preferred looks and reuse them across a series.

B

Brand kit

Fonts, colours and logo pulled from your brand settings.

C

Collections

Group references by series, channel or client.

Thumbnail analysis

What gets checked, and why it matters.

Every concept — generated or uploaded — can be run through the same analysis.

Text sizeLegibility at feed and mobile scaleMost thumbnails are seen small; long or thin text disappears.
Subject placementWhere the main subject sits in frameA subject lost in the middle of clutter reads as noise.
Facial focusWhether a face is present, clear and expressiveFaces draw attention when they are sharp and large enough.
ContrastSeparation between subject, text and backgroundLow contrast turns to mush next to other thumbnails.
Visual simplicityHow many competing elements are in frameFewer, bigger elements read faster in a crowded feed.

Competitor inspiration

See the patterns that keep showing up.

Pull the public thumbnails from the creators you track and look at them as a set: which use faces, how much text they carry, which colours repeat, how the breakout videos differ from the ordinary ones. Use it as research, not as something to copy.

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Pattern read

Thumbnails from creators on your watchlist

Text length and colour patterns across a niche

How breakout videos differ visually from the rest

Angles nobody in the niche is using yet

A/B concept comparison

Choose between concepts with something to go on.

Line up your shortlist and see each one scored on the same criteria, shown at real feed size and side by side with the title it will sit under. It will not promise you a winner, but it will show you which concept is clearest.

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Comparison view

Concept A

Clear subject

Concept B

Higher contrast

Feed preview

Real scale

Scored on

Same criteria

Before and after

What a rework usually changes.

Before: nine words of small text over a busy wide shot. After: three words, one subject filling the frame, background darkened for separation.

What the analyzer flagged

Text too small to read at feed scale, subject competing with background detail, low contrast between text and image.

Clearer thumbnails are easier to read at small sizes. Results always depend on your audience, your title and your topic.

FAQs

Thumbnails, answered.

How does the AI thumbnail generator work?

Give it a title, a video or both. It builds several thumbnail concepts around the strongest idea in the content, then lets you regenerate, restyle or refine any of them.

Can it learn my style?

Yes. Upload your own historical thumbnails to a reference library and the AI reads the visual patterns you tend to use — framing, colour, text weight — so new concepts look like your channel rather than a stock template.

Will this improve my click-through rate?

No tool can promise that. This is designed to help you produce clearer, stronger thumbnail concepts based on patterns from successful content, and to show you what a thumbnail is doing well or badly before you publish it.

What does the thumbnail analyzer check?

Composition and readability: text size and legibility at feed scale, subject placement, facial focus, contrast, colour separation and overall visual simplicity.

Can I compare concepts?

Yes. Put several concepts side by side, see each one scored on the same criteria and view them at the size they will actually appear in a feed.

Explore the platform

Competitor analysis

Track competing creators, their breakout posts and what they publish.

AI video generator

Go from idea to finished short-form or long-form video in one workflow.

Video retention analyzer

See where viewers stay, drop off and rewind — and what to fix.

Better concepts,
before you publish.

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