How are the roles decided?

Positionally — the six clusters come out of the algorithm in an order and the labels are applied to that order. No colour property is checked, so the labels are suggestions rather than judgements.

Is the result accessible?

Not necessarily. There is no contrast checking, and a swatch labelled foreground may not be readable on the one labelled background. Test any pairing you intend to ship.

Does the same image give the same theme?

Yes. The clustering is seeded deterministically, so the six colours are identical on every upload and after every reload.

How many colours are produced?

Six, always. The count is fixed, and there is no control over how the clusters are formed.

Can I rename or reassign a role after the fact?

Not on the page — the six labels are fixed, and the roles are names attached to the clustered values rather than a mapping you can edit. The workable route is to copy the six hex values out and reassign them in your own tokens, which is where roles really live anyway.

Image Theme Generator

Drop an image here, or click to upload

PNG, JPG, WebP, GIF

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The image theme generator clusters an uploaded image into six colors and assigns them to interface roles — background, surface, primary, secondary, accent and foreground.

What is Image Theme Generator?

One upload returns six swatches, each with a role name above it and its hex value below: background, surface, primary, secondary, accent and foreground.
The colours are grouped by similarity rather than picked one by one.
A Replace image button resets the state, and there are no settings.

Clustering is what makes the output usable rather than arbitrary. Rather than picking six pixels, the tool groups the image's pixels by similarity so that each of the six results represents a genuine region of colour — enough sky, enough foliage, enough of whatever dominates. On a landscape, that tends to produce several related greens and blues with one warm note, which is a far better starting point than six random samples would be.

The role labels are the part to approach with care, and understanding how they are assigned saves a lot of confusion. The six clusters come out of the algorithm in an order determined by how the clustering seeds, and the labels are applied to that order positionally — the first cluster is called background, the second surface, and so on down to foreground. Nothing in the process looks at whether a colour is dark enough to be a background or light enough to be readable as text. So the swatch labelled foreground may well be a mid-tone that cannot be read on the swatch labelled background, and the one labelled background may be the most vivid colour in the picture.

That is a real limitation, and it is best treated as a starting point rather than a finished theme. The useful move is to read the six values, then decide the roles yourself: sort them by lightness, put the darkest where text or a border belongs, the lightest under the largest surface, and keep one vivid colour as the accent. Running a contrast check between whichever pair you settle on for text and surface is the essential next step, since a palette that looks cohesive is not automatically legible.

A second property worth knowing is determinism. The clustering is seeded at fixed positions rather than randomly, so the same image produces the same six colours every time — on a reload, on a second upload, on a different day. For something whose output is destined for a stylesheet, that stability is important: a theme that shifts between runs would be unusable.

Where this fits is at the start of a design rather than the end. A product built around photography — a travel app, a recipe site, a portfolio — can take its palette from its own imagery, which guarantees that the interface and the pictures agree instead of merely coexisting. The six clusters are usually enough to establish a tonal hierarchy without inventing anything, and having the colours come from the content removes the usual round of subjective argument.

Limits worth naming: six colours and six fixed labels, no control over the count, no contrast checking, no export beyond copying individual swatches, and a bias towards whatever covers the most area — so a small but vivid detail may not survive clustering at all.
There is no way to generate theme from image with one region weighted over another; the whole frame participates equally.
Used as an image theme generator, it answers build palette from image in one upload, and with the labels reassigned to match how the interface is actually built the result is a ui theme from photo that is at least guaranteed to be an image color scheme drawn from the picture itself.

How to use Image Theme Generator

Drop an image onto the upload area.
Read the six swatches and their hex values.
Reassign the role labels yourself — sort by lightness and reserve the most vivid colour as the accent.
Check contrast between the text and surface pairings you intend to use.

When to use Image Theme Generator vs related tools

Use this when a project's palette should come from its own imagery — photography-led products, portfolios, editorial layouts. Use the palette extractor when you want the colours without interface roles attached, or the dominant colour finder for a single value. Since the roles arrive unchecked, the palette accessibility checker is where the pairs a real interface depends on get audited, and a wider set derived from one of the swatches is what the single color to full palette builds.

Privacy & Security

This tool runs entirely in your browser — no data ever leaves your device. There is no server round-trip, no upload, no logging, and no account required. Your input is processed locally using client-side JavaScript and is never stored, transmitted, or accessible to anyone else. When you close the tab, everything disappears.