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AI Image Recoloring

Pricing

AI Image Recolor

Change colors instantly with realistic results. Use text prompts to add creative color changes to any image!

Your Photo

Upload your photo

9:16
How it works

How AI Image Recolor works in 3 steps

Upload a photo, describe the colors you want, and export the result — all inside Cleep.ai.

1Step 01

Upload Your Photo

Choose a photo or product image you want to recolor. The AI detects materials and surfaces to keep recoloring realistic.

Upload imagePNG · JPG
2Step 02

Describe the Colors

Write a prompt for the new colors — a product shade, an outfit color, or a whole palette change.

3Step 03

Download Your Image

Colors are changed in seconds while keeping texture and shading intact. Download your recolored image, ready to use.

Generating…
What it can do

How to work with AI Image Recolor

How recoloring works in a real workflow

Cleep AI’s AI Image Recolor uses two inputs: a target image to be changed and a reference image that signals the desired palette. When you need to Recolor Images consistently across a set, keep the same target framing and swap only the reference to generate controlled color variants. After uploading both, the tool generates a recolored version while aiming to preserve lighting, material texture, and edges. Export the result and repeat with new references to build a full set of variants.

How recoloring works in a real workflow

Where recoloring pays off fastest

Merch and ecommerce teams use AI Image Recolor to create colorways for apparel, shoes, accessories, and packaged goods without reshooting every option. For marketplaces, it’s a practical way to Recolor Images into seasonal palettes while keeping the product silhouette and texture consistent across listings. Designers use it to explore brand refresh directions—like swapping accent colors—before committing to full production edits. Creators also use it to match a set of images to a cohesive palette for a feed or campaign.

Where recoloring pays off fastest

What to verify before you ship the result

Check boundaries where color changes meet fine details like stitching, hair, jewelry, or thin outlines, since these areas can reveal spillover. If you Recolor Images for a catalog, zoom in on highlights and shadows to confirm the output didn’t flatten the material or introduce odd tints. When brand colors matter, compare the result against approved hex/RGB targets and rerun with a closer reference if needed. Finally, review the recolored image on both light and dark backgrounds to spot haloing around edges.

What to verify before you ship the result

Why teams choose Cleep AI for recolor tasks

Cleep AI is designed for fast iteration: swap the reference image to explore new palettes without changing the original composition. The model focuses on changing color while keeping the underlying structure recognizable, which is useful when you Recolor Images for consistent SKUs, lookbooks, and creative testing. It supports common web image formats and fits into a simple “upload → generate → download” loop for quick handoffs. For best results, avoid extremely low-resolution targets and references with mixed lighting or heavy filters.

Why teams choose Cleep AI for recolor tasks

Advanced usage

For large catalogs, you can Recolor Images in batches by grouping targets by lighting and material, then applying a consistent set of references to each group for predictable results. If you’re integrating into a pipeline, an API-style workflow typically sends a target URL plus a reference URL and returns a downloadable output for automated review and publishing. For short clips or GIF-like assets, recoloring is applied frame-by-frame, so keep the reference stable to reduce flicker and verify a few frames before exporting. Only upload content you own or have permission to edit, especially when images include identifiable people, logos, or licensed designs.

Advanced usage
FAQ

Frequently asked questions

Yes, the recolor can target specific elements (for example clothing, a product casing, or the background). The more clearly the object is separated in the image, the cleaner the transitions will be.