/music-color-palette — Music → Color Palette

Generate a color palette based on the emotional mood and tonality of a music track. Outputs primary, secondary, accent, background, and text colors with hex codes.

Usage

/music-color-palette <audio_file_or_analysis_json>

Accepts either an audio file (runs analysis first) or a previously saved analysis JSON.

Steps

• Validate input (audio file or JSON)

• Generate color palette:

python3 -m music_analyzer color-palette "<input_path>"

• Present the palette:

• Primary color — dominant visual color

• Secondary color — supporting color

• Accent color — highlight/emphasis

• Background — suggested background

• Text — readable text color

• Full palette — extended hex code list

• Mood association — what the palette represents

Mapping Logic

The palette is derived from:

• Primary emotion (happy, sad, calm, energetic, etc.)

• Key mode (major → brighter, minor → deeper)

Each (emotion, mode) combination maps to a curated palette.

Output Format

{ "primary": "#FFD700", "secondary": "#FF6B35", "accent": "#FF1493", "background": "#FFFAF0", "text": "#2F2F2F", "palette": ["#FFD700", "#FF6B35", "#FFA07A", "#FFEC8B", "#FF1493"], "mood_association": "joyful warmth" }

Use Cases

• Pair with /music-to-dreamina for consistent visual styling

• Use as design system base colors for music-themed projects

• Feed into Dreamina or other visual generation tools