Palette

Palette is an online AI-powered tool specifically designed to colorize black-and-white photographs with realistic and vibrant colors. Users simply upload a grayscale or sepia-toned image, and the system automatically analyzes the content—such as people, landscapes, objects, and clothing—to apply plausible, natural-looking hues. The process takes only a few seconds and requires no sign-up or installation. Beyond automatic colorization, Palette offers over 21 distinct color filters—called “palettes”—that allow users to adjust the mood and style of the output. These filters cover themes like Light, Flowers, Interior, History, and Clothes, each producing a different tonal range. Users can preview the before-and-after result side by side, compare multiple filters, and toggle between them until they find the look they prefer. Once satisfied, the colored image can be downloaded directly. The tool also supports batch processing through its API, making it suitable for professional workflows such as restoring historical archives, enhancing family photo collections, or adding color to vintage film frames for documentaries and presentations. Palette has been adopted by media professionals, photographers, and video editors; notable endorsements come from Kevin Kelly (founding editor of Wired) and popular YouTube tech reviewers who praise its accuracy and ease of use. The platform is built on a deep learning model trained on millions of color photos, enabling it to recognize textures, lighting conditions, and material types—for example, correctly coloring a wooden chair, a person’s skin tone, or a cloudy sky without requiring manual masks or layer adjustments. It handles various image formats (JPEG, PNG, TIFF) and maintains original resolution unless the user chooses to compress for