

Explore a new product color
Try a different finish on furniture, clothing, packaging, or a vehicle before creating another photo shoot.
Prompt used:
“Repaint the car body to glossy candy apple red, preserving reflections”
Upload a photo and describe the new color to recolor your image online. The Recolor Agent turns your request into a focused edit plan, then sends that plan to an AI image editor. Results vary by image and request.
Try an example conversation
You do not need to draw a mask or manage layers in this interface. Tell the agent which object to recolor, or identify the visible source color you want changed.


Try a different finish on furniture, clothing, packaging, or a vehicle before creating another photo shoot.
Prompt used:
“Repaint the car body to glossy candy apple red, preserving reflections”
Name the object you want to change. The plan uses that object as the selection and tells the editor to leave the surrounding room unchanged. Always review the generated image for unwanted changes.
Prompt used:
“Make the sofa forest green”




Refer to a visible color when that is clearer. Here, the red background becomes blue while the shoe remains the subject.
Prompt used:
“Change the red background to blue”
Use the same focused AI image color changer across common creative and commercial workflows. Describe the object or visible source color, then check whether the generated result kept the details that matter to you.
Preview another product color before manufacturing, restocking, or arranging a new photo shoot. Recolor the item, label, container, or one visible component while keeping reflections and material detail.
Try a new color on a jacket, dress, sneaker, handbag, or fabric panel. The edit stays focused on the named piece instead of restyling the person or replacing the scene.
Explore sofa, chair, cabinet, wall, and décor colors in the original room. Natural light, shadows, surrounding objects, and the existing composition remain part of the image.
Test a possible paint color on a car, bicycle, helmet, sign, or graphic surface. Include highlights, contours, logos, and nearby details in the list of things the editor should try to leave unchanged, then inspect the result before using it.
This is a narrow editing workflow for changing color in an existing image. It combines a planning model with an image-editing model, so it can interpret ordinary language without pretending that every selection or color match will be exact.
The tool works from a photo you upload. It can plan a color change for a named object, a local region such as a background, or visible areas identified by their current color. It is not a general image generator. Requests to add or remove objects, replace a scene, reshape a subject, retouch a face, restore damage, upscale an image, or swap one material for another are outside the supported workflow. Changing a plain background color is supported; replacing the background with a new location is not.
A useful request names what should change and the color you want. For example: “make the sofa forest green” or “change the red background to blue.” You can identify the selection by object or by its visible source color. If the request is missing a target, missing a new color, or could refer to several areas, the planning step can ask a short follow-up question instead of running an edit immediately. It does not promise an exact HEX code, brand color, pixel selection, or material match.
The plan includes details that should remain unchanged, such as composition, shape, texture, lighting, shadows, and unselected regions. Those are instructions to the image model, not a guarantee. Fine edges, reflections, small text, logos, repeated colors, transparent objects, and complex shadows can be difficult for generative editors. Compare the result with the source image before publishing or using it in production. If the direction is useful, you can continue from the latest result with a relative request such as darker, warmer, lighter, or less saturated.
Use a short request in everyday language. A named object and target color are usually enough.
Before editing, see the selector, target color, and details the agent intends to preserve.
Clear requests run one recolor tool. Ambiguous requests get one focused question instead of a guess.
A narrower agent is easier to trust. It has one editing tool and a strict gate in front of it. For specific edits, try the AI hair color changer or the white background photo editor.
What it will not do
It will not add or remove objects, replace a scene, reshape subjects, swap materials, retouch faces, or create an unrelated image from scratch.
No. It is intentionally limited to color changes on an image you provide. That narrow scope makes short instructions easier to interpret and safer to execute.
Name an object or local region and a target color. The agent creates a structured selection plan and asks for clarification if the reference is ambiguous.
Yes. Describe the visible source color and the target color. If that source color appears in unrelated places, the agent can ask which region you mean.
The edit prompt explicitly protects texture, lighting, shadows, shape, composition, and unselected regions. Results still depend on the clarity of the image and the editing model.
Yes. Continue with requests such as darker, warmer, or less saturated. The latest result becomes the next image you edit.
You can upload AVIF, JPEG, PNG, or WebP images up to 10 MB. A clear, well-lit source image usually gives the editing model more detail to preserve.
Yes. Product photos are a strong fit when the item is clearly visible. Describe the product or part to change and the target color, then review the agent's plan before the edit runs.
Yes, when the background is a clear region or visible source color. Describe the current background and the target color, and mention that the subject, edges, shadows, and reflections should stay unchanged.
Upload a photo, describe the color change, review the plan, and compare the generated result with your original image.