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Select multiple images to adjust hue values in batch
Upload multiple images to adjust hue values in batch
Our bulk hue adjustment tool enables you to shift color hues for multiple images simultaneously without affecting saturation or lightness. Hue represents color identity on a 360° color wheel—rotating the hue shifts all colors proportionally around the spectrum. This tool applies consistent hue rotations across entire photo collections—perfect for creative color transformations, white balance correction, seasonal color shifts, batch color grading, and artistic effects. Photographers, designers, and content creators can efficiently transform color palettes across dozens or hundreds of images with uniform hue adjustments, maintaining color relationships while creating entirely new color schemes.
Hue represents the actual color identity on a 360° color wheel, independent of brightness or saturation. 0° is red, 60° is yellow, 120° is green, 180° is cyan, 240° is blue, and 300° is magenta. Adjusting hue rotates all colors around this wheel—a +60° shift transforms red to yellow, yellow to green, green to cyan, etc. Unlike changing individual RGB channels, hue shifts preserve the relative color relationships in your image. A sunset's orange glow shifts uniformly with blue shadows, maintaining their contrast and harmony while creating an entirely different color palette.
Bulk hue processing ensures color consistency across photo collections requiring uniform color transformations. Fashion photographers shift product line colors for seasonal variants without reshooting. Social media managers apply signature color schemes across content libraries for brand identity. Film editors create color continuity across scenes shot at different times. Real estate photographers adjust for lighting variations while maintaining consistent presentation. Creative studios transform stock photo libraries to match client brand colors. Instead of manually shifting each image, apply identical hue rotations to entire batches—saving hours while ensuring perfect color uniformity throughout the collection.
Start with small shifts (±15°) for subtle corrections—warming images toward orange/yellow or cooling toward blue/cyan for white balance adjustments. Medium shifts (±30-60°) create noticeable transformations—green foliage becomes autumn colors, blue skies turn purple/magenta for surreal effects. Large shifts (±90-180°) produce dramatic color inversions—complementary color schemes where warm tones become cool and vice versa. Test on one representative image first, then apply to the batch. Remember: ±180° produces the same result (opposite side of color wheel), so use -120° instead of +240° for efficiency.
Grayscale pixels (no saturation) remain unchanged by hue shifts because they have no color identity to rotate. Pure black, white, and neutral gray tones stay exactly the same regardless of hue adjustment. This means shadows, highlights, and desaturated areas maintain their brightness while only colored regions transform. This behavior is ideal for images with mixed content—colorful subjects against neutral backgrounds shift dramatically while the background remains stable. For portraits, desaturated skin tones change subtly while vibrant clothing and backgrounds transform significantly.
Yes, but with limitations. Hue shifts can correct color casts caused by lighting temperature. Images with yellow/orange casts (tungsten lighting) can be cooled by shifting toward blue (-30° to -60°). Blue casts (shade, overcast) warm up with positive shifts toward orange/yellow (+30° to +60°). However, hue-only adjustments may not match true white balance correction, which often requires saturation and lightness changes too. For critical color accuracy, professional white balance tools work better. For creative color consistency across batches, hue shifts excel at unifying the overall color temperature while maintaining artistic control.
Seasonal transformations: Shift green summer foliage to autumn oranges/reds (+30° to +60°) or spring yellows (-30°). Surreal/fantasy effects: Blue skies become magenta/purple (+60° to +120°) for otherworldly scenes. Duotone alternatives: Large shifts create color-inverted versions for graphic design variety. Brand color matching: Transform stock photography to align with specific brand palettes. Retro aesthetics: Subtle shifts toward cyan/teal (-15° to -30°) create vintage film looks. Day-to-night conversion: Shift toward blue/purple for nighttime mood. Color palette exploration: Generate multiple versions with different hue rotations for client selection.
No, pure hue adjustment preserves both saturation (color intensity) and lightness (brightness) values. A vibrant red stays equally vibrant when shifted to vibrant orange. A dark blue becomes a dark purple with identical darkness. This independence is hue's key advantage—you can completely transform color palettes while maintaining the original image's tonal structure, contrast, and color intensity. Shadows stay dark, highlights stay bright, vivid colors stay vivid, and muted colors stay muted. Only the color identity changes, making hue shifts predictable and reversible—you can always rotate back to the original hue if needed.
Results vary by content. Landscapes and nature photography shift dramatically—foliage, skies, and water create surreal effects. Product photography works well for generating color variants (blue shirt → green shirt). Abstract and graphic content transforms predictably. Portraits require caution—skin tones shift unnaturally with large adjustments, though subtle shifts (±15°) can warm or cool portraits effectively. Images with specific color expectations (food, branded products) may look wrong when shifted. Black and white or low-saturation images show minimal change. Best for: creative projects where color accuracy isn't critical, or batch corrections where all images share the same color cast.
Hue rotation is mathematically precise—the algorithm converts RGB to HSL color space, rotates the hue component by the specified degrees, then converts back to RGB. The transformation is predictable and consistent across all pixels. However, RGB↔HSL conversion involves rounding (colors must fit 0-255 integer values), so extreme or repeated adjustments may introduce slight posterization in smooth gradients. Output is PNG format (lossless) preventing compression artifacts. For maximum fidelity, work with high-bit-depth source images and avoid multiple successive adjustments. Single bulk processing maintains better quality than repeatedly adjusting the same images.
There's no hard limit, but practical capacity depends on device memory and browser capabilities. Most systems handle 50-100 images comfortably. Hue adjustment requires loading each image, converting millions of pixels between color spaces (RGB→HSL→RGB), and generating new files—memory-intensive for high-resolution photos (20+ megapixels). For large batches (hundreds of images) or ultra-high-resolution files (50+ megapixels), process in smaller groups of 30-50 to prevent memory issues or browser crashes. The tool processes sequentially to manage resources efficiently. If slowdowns occur, reduce batch size, close other tabs, or upgrade system RAM for professional high-volume workflows requiring consistent hue transformations.
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