What Is Inpainting? Step-by-Step Guide to Fixing, Editing & Replacing Parts of Images with AI

What is Inpainting?

Inpainting is an AI technique used to modify or repair specific parts of an image while leaving the rest untouched. You simply select the area you want to change, describe what should appear there, and the AI fills it in seamlessly.

It works like intelligent photo retouching—perfect for fixing mistakes, removing objects, or enhancing details.

Why Inpainting Is Important

• Object Removal: Erase unwanted people, logos, or clutter.
• Image Repair: Fix damaged or missing sections in old photos.
• Selective Editing: Modify only the parts you want changed.
• Creative Flexibility: Add new elements while keeping original context.
• Professional Retouching: Ideal for product photography and brand assets.

How Inpainting Works

1. Mask the Area

Select the part of the image you want to change. This tells the AI what to modify.

2. Provide a Prompt

Describe what should replace the masked area (e.g., “replace with a wooden table”).

3. AI Blends Seamlessly

The model analyzes lighting, texture, colors, and context to blend the new content naturally.

Popular Inpainting Use Cases

• Background cleanup for cleaner product photos.
• Face fixes (eyes, hair, expressions, imperfections).
• Outfit changes in portraits or fashion images.
• Scene editing like swapping skies or adding props.

Best Practices for Inpainting

• Mask precisely to avoid distortion in surrounding areas.
• Use short, clear prompts for the most accurate edits.
• Match style and lighting so the replacement blends naturally.
• Avoid large masks unless reconstructing a full scene.