One photo in · The named color gone · Free, no sign-up
Name the color and what should take its place — a red jacket turned gray, a green cast lifted, a loud background calmed down. The AI repaints only what you named; every other pixel keeps its place.
A real edit from this page's engine: same woman, same wet street, same light — and every red in frame gone, from her jacket to the bus behind her, because the instruction said all of it. Drag the divider and check the edges where the jacket meets her hair and backpack; that boundary is where cheap color tools smear. Every output is AI-generated, and how you scope the sentence decides how far the recolor reaches.


Drag to compare before and after
It is an image-to-image edit where the instruction names a color and a replacement: recolor the object that carries it, neutralize a color cast, or mute a background hue. The model finds where that color lives — an object, a wall, a tint across the whole frame — and repaints just those regions while everything else is preserved.
Three different people type this exact phrase. A seller whose product photo has a color-clashing prop in frame. A designer handed a graphic where one brand color has to go. And someone whose phone shot came back with a green fluorescent cast over everything. Photoshop answers all three with Select Color Range and twenty minutes of masking; this page answers them with one sentence each — which is why the query deserves its own tool rather than a general editor.
The pair below is our own run on this page's engine, not a stock example: we shot a red rain jacket on a gray London street and asked for every trace of red removed. The jacket went gray — and so did the double-decker bus behind her, because the sentence said "every trace". That is the lesson in one frame: name the color and everything wearing it changes; name the owner — "recolor the red jacket" — and the bus keeps its paint.
The honest limit: this is a repaint, not a mask export. You get back a finished image, not a transparent PNG or a layered file — if you need the selection itself for further editing, a desktop tool is still the right instrument. And where the named color bleeds into reflections or skin bounce-light, the model has to judge where the object ends, and a very tight crop gives it less to judge with.
Creative engine
Upload the photo, name the color and its replacement, generate — the free engine returns the repainted image in under a minute.
Name "the red jacket" and only the jacket changes; name "red" and everything wearing it does. The scope of the sentence is the selection tool.
A fluorescent green wash over the whole photo is just a color with no owner — ask for it removed and the frame snaps back to neutral daylight.
The quality of the edit is mostly the quality of the sentence.
Any photo where a color has to go — an object, a wall, a cast over the whole frame. Sharper input gives the model cleaner color boundaries to work with.
"The red jacket" beats "red" when red appears twice in frame. If the whole image has a tint, say so: "remove the green color cast, neutral daylight colors".
Removed color has to become something — gray, white, a different color, or "match the surrounding tones". Deciding this yourself beats letting the model guess.
The same edit, three different reasons to need it.
The product is fine; the orange extension cord behind it is not. Name the cord's color, recolor it to match the background, and the listing stops looking like a garage — or re-stage the whole shot when the scene itself is the problem.
A graphic arrives with a competitor's signature color in it, or last season's palette. One sentence swaps the offending hue without rebuilding the artwork.
Fluorescent green, tungsten orange, aquarium blue — when the whole photo leans one way, asking for the cast removed reads like white-balance correction that actually understands the scene.
What people check before running the edit.
Yes, and this is where naming the owner matters. "Remove the red" recolors every red region it finds — jacket, bus, brake lights. "Recolor the red jacket to gray" touches the jacket and leaves the rest. Decide first whether you are removing a color everywhere or removing one colored thing.
No — the result is a finished, repainted image. If what you actually need is the object cut out on transparency, that is a background-removal job, not a recolor, and a dedicated cutout tool will serve you better. This page is for photos that should stay whole with one color changed.
The edit runs on the free engine: anonymous visitors get free credits, no account or card needed, and a recolor costs a small slice of them. Signing in adds a larger free grant and keeps your history.
It is uploaded over HTTPS to run the edit, stored so you can revisit the result, and never used to advertise anything. Delete it from your history and it is gone from your gallery. Every output is AI-generated.
Reflections and bounce light. A red jacket tints the chin above it and the puddle below it; the model has to decide how much of that secondary red to chase, and occasionally it chases too far or not far enough. When that happens, name the boundary — "keep the skin tones untouched" — and rerun.
Yes — removal is just recoloring where the replacement is neutral. "Turn the yellow wall sage green" works exactly the same way and costs the same.
One credit pool covers Nano Banana images and Seedance and Veo video. The cost shows before every run, and failed jobs are not charged. Use a subscription for ongoing work, or a one-time pack when you just need to top up.
What's included
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What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
One-time top-ups — buy extra credits any time you run low.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
Charges appear as “KAVEL AI” on your card statement. You can cancel any time from Settings → Billing; cancellation takes effect at the end of the period you already paid for.
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Use one balance across the supported image and video models (Nano Banana 2 / Nano Banana Pro / Seedance 2 / Veo 3.1), and check the credit cost before each request.
Video models
Image models
Model credit guide
You're only charged for successful generations. The exact estimate in the generator varies by model, length, resolution, audio, and number of images.
| Type | Model | Credit cost |
|---|---|---|
| Video | Seedance 2.0 | 5s 720p image-to-video ≈ 188 credits; text-to-video ≈ 308 credits. Scales with resolution and length. |
| Video | Seedance 2 Fast | Faster and lower cost. 5s 720p text-to-video ≈ 248 credits. Mini is cheaper still. |
| Video | Veo 3.1 | Billed per video (Lite). About 34 credits at 1080p, about 23 at 720p. |
| Image | Nano Banana 2 | Generate or edit from text and images. About 8 credits per 1K image, 12 at 2K, 18 at 4K. |
| Image | Nano Banana Pro | Consistent run times across generations. About 12 credits per 1K or 2K image, 21 at 4K. |
| Image | Nano Banana 2 Lite | Faster, simpler variant. About 8 credits per image. Start here to test. |
Upload the photo, write one sentence, and get back the same shot without the color that was ruining it — free to try, [restore an old print](/image/old-photo-restoration) or [sharpen the result to HD](/image/hd-photo-converter) while you are here.