Provide the starting value
Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB.
Extract a Color Palette from an Image
Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB.
The verified workflow runs in the browser. Files and color values stay in the page unless a control explicitly opens a network URL.
Drop an image here
or click to select a file, or paste
Direct answer
Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB. A dominant pixel cluster is not necessarily the semantically important object color. Compression, lighting, transparency and small details can change the extracted palette.
What this tool does
Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB. Build a reusable starting palette from photography, screenshots or artwork, then refine it and check contrast.
Verified capabilities
Adjust the relevant controls
You can choose 3–11 colors and rank clusters with dominant, vibrant, muted, light, dark, warm, cool or accent strategies. Regeneration changes k-means initialization.
Check the accuracy boundary
A dominant pixel cluster is not necessarily the semantically important object color. Compression, lighting, transparency and small details can change the extracted palette. Compare the result with the intended destination before reusing it.
When to use it
- Build a reusable starting palette from photography, screenshots or artwork, then refine it and check contrast.
- You can choose 3–11 colors and rank clusters with dominant, vibrant, muted, light, dark, warm, cool or accent strategies. Regeneration changes k-means initialization. In “When to use it 2”, apply this specifically to Extract a Color Palette from an Image.
- Build a reusable starting palette from photography, screenshots or artwork, then refine it and check contrast. Use the first related tool to continue from the output of Extract a Color Palette from an Image without changing locale.
How to use the tool
Provide the starting value
Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB. In “How to use the tool: Provide the starting value”, apply this specifically to Extract a Color Palette from an Image.
Adjust the relevant controls
You can choose 3–11 colors and rank clusters with dominant, vibrant, muted, light, dark, warm, cool or accent strategies. Regeneration changes k-means initialization. In “How to use the tool: Adjust the relevant controls”, apply this specifically to Extract a Color Palette from an Image.
Review and continue
Build a reusable starting palette from photography, screenshots or artwork, then refine it and check contrast. In “How to use the tool: Review and continue”, apply this specifically to Extract a Color Palette from an Image.
Check the accuracy boundary
A dominant pixel cluster is not necessarily the semantically important object color. Compression, lighting, transparency and small details can change the extracted palette. Compare the result with the intended destination before reusing it. Review the stated limitation before treating the result as a production or accessibility decision.
Controls explained
Provide the starting value
Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB. In “Controls explained: Provide the starting value”, apply this specifically to Extract a Color Palette from an Image.
Adjust the relevant controls
You can choose 3–11 colors and rank clusters with dominant, vibrant, muted, light, dark, warm, cool or accent strategies. Regeneration changes k-means initialization. In “Controls explained: Adjust the relevant controls”, apply this specifically to Extract a Color Palette from an Image.
How the result is produced
You can choose 3–11 colors and rank clusters with dominant, vibrant, muted, light, dark, warm, cool or accent strategies. Regeneration changes k-means initialization. In “How the result is produced”, apply this specifically to Extract a Color Palette from an Image.
Accuracy and limitations
- A dominant pixel cluster is not necessarily the semantically important object color. Compression, lighting, transparency and small details can change the extracted palette.
- Clipboard, file decoding, download and permission-based controls follow the capabilities of the current browser.
Processing and privacy
The verified workflow runs in the browser. Files and color values stay in the page unless a control explicitly opens a network URL.
Practical tips
- Start from a known sample, then change one control at a time so the effect remains explainable.
- Review the stated limitation before treating the result as a production or accessibility decision.
Troubleshooting
The input or action does not work
Check the displayed range or file requirement, reset the tool, then retry with a smaller or browser-supported input. Permission-based controls may need a secure context.
Accuracy and limitations
A dominant pixel cluster is not necessarily the semantically important object color. Compression, lighting, transparency and small details can change the extracted palette. In “Troubleshooting: Accuracy and limitations”, apply this specifically to Extract a Color Palette from an Image.
Check the accuracy boundary
A dominant pixel cluster is not necessarily the semantically important object color. Compression, lighting, transparency and small details can change the extracted palette. Reset the tool and retry with a known supported value before reporting an algorithm error.
Questions about this tool
What does Extract a Color Palette from an Image do?
Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB. In “What does Extract a Color Palette from an Image do?”, apply this specifically to Extract a Color Palette from an Image.
What is the most important limitation?
A dominant pixel cluster is not necessarily the semantically important object color. Compression, lighting, transparency and small details can change the extracted palette. In “What is the most important limitation?”, apply this specifically to Extract a Color Palette from an Image.
Where is the data processed?
The verified workflow runs in the browser. Files and color values stay in the page unless a control explicitly opens a network URL. In “Where is the data processed?”, apply this specifically to Extract a Color Palette from an Image.
What input should I prepare for Extract a Color Palette from an Image?
Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB. Decode a local image, sample a 150-pixel working canvas and cluster representative colors with the implemented k-means++ routine in OKLAB.
What should I verify before using the result from Extract a Color Palette from an Image?
A dominant pixel cluster is not necessarily the semantically important object color. Compression, lighting, transparency and small details can change the extracted palette. Compare the result with the intended destination before reusing it. In “What should I verify before using the result from Extract a Color Palette from an Image?”, apply this specifically to Extract a Color Palette from an Image.
Which workflow can follow Extract a Color Palette from an Image?
Use the first related tool to continue from the output of Extract a Color Palette from an Image without changing locale. Build a reusable starting palette from photography, screenshots or artwork, then refine it and check contrast.
Continue your color workflow
Build a reusable starting palette from photography, screenshots or artwork, then refine it and check contrast. In “Continue your color workflow”, apply this specifically to Extract a Color Palette from an Image.
Continue with a related tool
Use the first related tool to continue from the output of Extract a Color Palette from an Image without changing locale.
Pick Colors from an Image