Image Inpainting
Paint a mask over the part of your photo you want to change, type a description of what should appear there, and the AI fills that area with new content that matches the light, texture, and perspective of the rest of the scene.
Upload Image
JPG, PNG, WebP (max 10MB)
Paint over the area you want to replace, then enter a prompt below.
Lower = blend with original, Higher = more creative
Generating...
AI is creating your inpainted image. This usually takes 15-45 seconds.
Inpainting Complete!
Processing Failed
An error occurred.
How It Works
- Upload your image
- Upload or draw a mask
- Describe what to fill in
- Download the result
Tips for Best Results
- Use clean, well-defined masks
- Write detailed prompts with textures
- Lower creativity for subtle blending
- Use high-resolution source images
Example Prompts
Replace Sky
"beautiful sunset with orange and pink clouds"
Change Background
"tropical beach with palm trees and ocean"
Add Objects
"colorful butterfly sitting on the flower"
Change Clothing
"elegant red dress with gold embroidery"
Why Choose Our AI Inpainting
Draw to Select
Use the brush tool directly on the uploaded image to paint over the exact area you want replaced. Brush size is adjustable so you can mask large regions or tight details with equal precision.
Context-Aware Fill
The model reads the colors, lighting direction, and texture patterns around the masked edge and continues them into the filled area so the boundary is not visible in the result.
Prompt-Driven Replacement
The text prompt steers what the AI generates inside the mask. Write what you want to see and the model places it into the masked area, conditioned on both your words and the image context around the mask.
Full Resolution Output
Only the masked pixels change. Everything outside the mask is untouched, and the output image keeps your original dimensions and quality for direct use in any project.
Perfect For
Powered by Advanced AI
Stable Diffusion Inpainting
The inpainting engine is built on Stable Diffusion's inpainting variant, which was fine-tuned specifically for masked image editing. It receives the original image, the binary mask you drew, and your text prompt simultaneously. The mask tells the model which pixels to regenerate, and the surrounding unmasked area conditions the generation so the new content inherits the correct lighting and texture from the original scene.
Pixels at the mask boundary are blended using a gradient so there is no hard edge between the original and the filled region. This is why inpainted results look embedded in the scene rather than composited on top of it. Object removal works the same way, but with an empty prompt or a prompt describing the background so the model fills the masked area with continuation of the surrounding environment.
Frequently Asked Questions
The mask determines which pixels the AI regenerates, so covering the full object or region you want to remove gives the model enough room to fill it cleanly. A mask that is slightly larger than the object works better than a tight outline because it gives the model a margin to blend the edge. You do not need pixel-perfect precision, but if you only mask half an object, the remaining half will stay in the image.
JPG, PNG, and WebP are all accepted. Higher-resolution originals give the model more context around the mask boundary, which tends to produce cleaner blending. Heavily compressed or very small images can still be inpainted, but the fill quality is limited by how much scene information the model has to work from.
Most inpainting jobs complete in under a minute. Large images with detailed masks may take a bit longer. You will see a status indicator while the model works. Results are stored in your history so you can compare multiple attempts side by side.
Uploaded images are used only to process your inpainting job. They are not shared with third parties or used to train AI models. You keep ownership of both the original and the inpainted output.
Small objects like signs, logos, or blemishes with simple backgrounds behind them are generally removed very cleanly. Large objects that cover most of the frame are harder because the model has to invent significant background area rather than continue an existing pattern. For large removals, clean and consistent backgrounds like sky, grass, or plain walls produce the best fill results.
Images are processed one at a time. Upload, mask, prompt, submit, and once that job completes you can start the next one. Previous jobs stay in your history so you can download any result later without having to reprocess.
No external software is needed. The masking tool is built into the page. You paint on the image with your mouse, type a prompt, and submit. The only skill involved is describing what you want in plain language and drawing a rough outline over the area to change.
Yes. Download the output from the first job, upload it again as a new image, draw a mask over a different area, and run a second inpainting pass. This iterative approach lets you make multiple targeted changes to one photo across separate jobs.
Yes. You are modifying your own images, so the output belongs to you. Inpainted photos can be used in any commercial project, including advertising, editorial, and product photography, without licensing restrictions from this tool.
Clone stamp copies pixels from another part of the image, which only works well when the background is repetitive. Content-aware fill samples nearby regions and patches them together, which can produce visible seams on complex textures. Diffusion-based inpainting generates entirely new pixel content guided by your text prompt, so you can add something that was never in the original photo rather than just rearranging what is already there.
AI Image Inpainting: Edit and Fill Image Areas Free vs Other Methods
| Feature | Luxoret AI | Manual / Traditional | Other Tools |
|---|---|---|---|
| Cost per Use | $0.03 | $50-$200+ per project | $0.15-$0.30 per image |
| Speed | Results in seconds | Hours with Photoshop | Minutes per image |
| Skill Required | None — fully automated | Professional editing skills | Some learning curve |
| Quality | AI-powered, photorealistic | Depends on editor skill | Template-based, limited |
| Accessibility | Browser-based, any device | Desktop software required | App or desktop required |
| Revisions | Unlimited instant retries | Time-consuming redo | Limited by credits |
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