Data Analysts
Use Image Color Palette Extractor to prepare chart exports for dashboards and stakeholder reports.
PRIVATE BY DEFAULT. INSTANT BY DESIGN.
Extract Dominant HEX, RGB, HSL & Tailwind Colors from Image
Extract up to eight dominant colors, sample pixels and export CSS or JSON locally.
LOCAL IMAGE WORKSPACE
Drop an image here
Dominant colors
Pixel sample
Before & after: Image Color Palette Extractor
BEFORE · INPUT
A local sample image will be created in your browser.
AFTER · OUTPUT
Image → dominant palette + CSS variables + JSON
How to use Image Color Palette Extractor
01
Open a local image
Drop an image or load a generated local sample. Nothing is uploaded.
02
Inspect your input
Review the preview and available output settings.
03
Prepare the output
Extract up to eight dominant colors, sample pixels and export CSS or JSON locally.
04
Download locally
Save the generated result directly from your browser.
Real-world workflows
Software Engineers
Use Image Color Palette Extractor to prepare visual assets for a web application without uploading them.
E-Commerce Managers
Use Image Color Palette Extractor to prepare product images for storefront listings and campaign assets.
Technical edge cases & frequently asked questions
Are images uploaded?
No. Parsing, Canvas processing and downloads happen entirely in your browser.
What does the output contain?
Image → dominant palette + CSS variables + JSON
What limitations apply?
Transparent pixels are excluded; images with fewer than eight colors return fewer swatches. Files are capped at 64 MiB and decoded images at 32 megapixels.
How are outputs produced?
Local Canvas renders PNGs. EXIF parsing uses binary segments; palettes use sampled median-cut quantization and nearest Tailwind v4 palette colors in OKLab.
| Encoding | UTF-8 (text) |
|---|---|
| Processing | Local JavaScript / browser Canvas |
| Max recommended file size | 50 MB+ may work; browser memory and tool complexity determine capacity. Start smaller. |
| Server retention | 0 bytes — no server uploads |