Color Palette
Extract the dominant colors from an image and return them as hex color values. Uses quantized frequency analysis to identify the most prominent and visually distinct colors.
API Endpoint
POST /api/v1/tools/color-palette
Accepts multipart form data with an image file and an optional JSON settings field.
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| count | integer | No | 8 | Number of colors to extract (2-16) |
| format | string | No | "hex" | Color format: hex, rgb, hsl |
Example Request
bash
curl -X POST http://localhost:1349/api/v1/tools/color-palette \
-H "Authorization: Bearer si_your-api-key" \
-F "[email protected]" \
-F 'settings={"count": 6, "format": "hex"}'Example Response
json
{
"filename": "photo.jpg",
"colors": [
"#304080",
"#e0a060",
"#f0f0f0",
"#203020",
"#a0c0e0",
"#806040"
],
"hex": [
"#304080",
"#e0a060",
"#f0f0f0",
"#203020",
"#a0c0e0",
"#806040"
],
"count": 6
}Response Fields
| Field | Type | Description |
|---|---|---|
| filename | string | Sanitized filename |
| colors | array | Array of color strings in the requested format, ordered by dominance (most frequent first) |
| hex | array | Array of hex color strings (always hex, regardless of the format setting) |
| count | number | Number of colors extracted |
Notes
- Returns up to
countdominant colors (default 8, range 2-16), sorted by frequency (most common first). - The image is internally resized to 100x100 pixels for analysis, so the palette represents overall color distribution rather than small details.
- Colors are extracted using median-cut quantization, which recursively splits pixel populations along the channel with the widest range.
- The alpha channel is removed before analysis, so transparent areas are not considered.
- This is a read-only endpoint. It does not produce a downloadable output file or a
jobId. - HEIC, RAW, PSD, and SVG inputs are automatically decoded before analysis.
