TL;DR: Upload an image and copy the dominant color HEX/rgb values with coverage percentages — useful for extracting brand colors from a logo.
Extract dominant color palette from images online for free — upload any image and get HEX codes, rgb() values, and percentage coverage for the top colors. Perfect for designers extracting brand colors or building UI themes.
Using Image Color Palette doesn't require an account, an email address, or a paid plan. Your file is held in isolated temporary storage only for the duration of processing, then permanently unlinked. No watermarks, no upsells, no behavioural tracking.
Extract dominant color palette from images online for free — upload any image and get HEX codes, rgb() values, and percentage coverage for the top colors. Perfect for designers extracting brand colors or building UI themes. Use it when you need a quick, private, no-account way to handle a file in the browser, or when you want an auditable open-source alternative to cloud converters, ad-heavy utility sites, and desktop apps. The page at /tools/image-palette is designed for one clear job: upload or provide the input, choose only the options that matter, and download the result without creating an account or passing through a sales funnel.
Many non-PDF utilities run entirely in your browser; conversion or media operations that need backend libraries use the same isolated container model. Temporary input and output files are not used for analytics, model training, advertising profiles, or product telemetry. The public demo uses anonymous page-view analytics only; file bytes, extracted text, filenames, passwords, signatures, and generated results are outside that analytics path. If your organization needs stricter controls, you can self-host all 214 PrivaTools utilities and keep processing on your own infrastructure.
Before running Image Color Palette, confirm that the source file opens correctly and that you have permission to process it. Keep the original asset, choose the smallest output that still matches your target app, and test the result before deleting source media. For sensitive material, review the downloaded result before sharing it. For large files, give the browser time to finish the download and avoid refreshing the page mid-run. If a password, damaged upload, unsupported codec, or malformed document blocks processing, PrivaTools returns a plain-language error so you can pick the next recovery step instead of guessing.
Image Color Palette is intentionally narrow: it does one file task and hands the result back as a normal download. That makes the output easy to inspect, rename, archive, attach to email, or feed into another tool. If you need a repeatable workflow, save the page, bookmark a Pipeline recipe, or self-host the API so the same steps can run from internal scripts. The interface avoids accounts and cloud folders on purpose: the safest default for private files is to process only the current request, return the result, and leave long-term storage under your control.
Image Color Palette runs in any modern browser on Windows, macOS, Linux, Android, and iOS — there is nothing to install, no extension to add, and no desktop app to keep updated. Because the interface is a single page, you can bookmark it, send the link to a colleague, or open it on a phone and get the same result you would on a laptop. There are no watermarks stamped onto your output, no sign-in wall before the download, and no paid tier that unlocks the “real” version later — the Image Color Palette you see is the complete tool. For teams that would rather keep everything in-house, the same endpoint ships in the MIT-licensed, self-hostable build, so you can run it behind your own firewall with identical behaviour and no outbound calls. That combination — instant in the browser for individuals, fully self-hostable for organizations — is what keeps a private file genuinely private from upload to download.
We downsize the image to 400×400 for speed, then run a fast octree quantization to find the N most-dominant colors. Percentages are based on pixel coverage.
Usually yes — logos have a few dominant colors that octree picks up well. For logos on white backgrounds, asking for 6 colors typically gives 1 white + the actual brand colors.
Not in this tool — beyond 24 the palette becomes too noisy to be useful. For full palette analysis, export the image to a design tool.
Working with PDFs too? Try our Merge PDF, Compress PDF, PDF to Word, or all 214 tools.