Auto-classify a photo's color mood + dominant colors + HSL stats. For mood boards & lookbooks.
How to use
- Upload a photo to analyze.
- Overall mood (warm / cool / calm / vivid / dark / bright) is auto-classified.
- 8 dominant colors and HSL averages displayed.
- Click any color to copy HEX.
- Use for mood board design.
Key features
- 6-mood auto-classification (warm·cool·calm·vivid·dark·bright)
- 8 dominant colors via K-means clustering
- HSL average + standard deviation
- No upload (browser-only)
Use cases
- Mood boards — verify Pinterest pin color consistency
- Lookbooks / seasonal catalogs — season mood
- Brand color discovery — extract palette from inspirations
- Interior matching — furniture & decor color harmony
- Wedding / event colors — theme decisions
Mood classification algorithm
The image is downsampled and each pixel's HSL value extracted. Hue average determines warm (0–60°, 300–360°) vs cool (180–270°); saturation average determines vivid (60+) vs calm (0–30); lightness average determines bright (70+) vs dark (0–30). Strongest moods get labeled. Unlike color-extract, mood label + statistics are the focus.
FAQ
vs color-extract?
color-extract only extracts dominant colors; this adds mood label + statistics.
Why similar moods?
Image concentrated in one tone. Mixed-tone images get composite moods like "calm + warm".
Multiple images at once?
One at a time. Run individually and combine results.
Free?
Yes, no uploads.