Add Missing Parts to an Image with AI
Complete missing, erased, or incomplete parts of a photo with AI. Brush over the area that needs to be reconstructed, describe what should continue, and generate a visually consistent completion. Complete products, furniture, clothing, people, illustrations, and other partially missing image details without rebuilding the whole picture.
1. Upload an Image to Edit
Drag and drop an image here, or click to choose a file.
3. STEP 2 · SELECT AN AREA
Upload an image to start marking the area to change.
4. Describe What Should Continue
Recent Sessions
Missing Object Parts
Complete missing edges, handles, corners, legs, frames, panels, or other incomplete parts of an existing object.
Product Details
Reconstruct missing product edges, straps, handles, packaging areas, surface details, or hardware for visual presentation.
Clothing & Accessories
Continue sleeves, hems, straps, fabric areas, shoes, bags, and other partially missing fashion details.
Furniture & Interiors
Complete missing chair arms, table edges, cushions, shelves, frames, fixtures, and other interior elements.
People & Poses
Generate plausible continuations for incomplete clothing, hair, limbs, or other body-related areas when part of a person is missing.
Illustrations & Artwork
Continue erased shapes, characters, patterns, textures, linework, or decorative elements in illustrations and artwork.
AI Reconstructs a Plausible Result — Not the Original Hidden Pixels
If part of an image has been deleted, erased, covered, or cropped away, AI cannot know exactly what was originally there.
ImageToLayers generates a new completion based on the visible image and your instruction. The result may look like a natural continuation, but it is an AI-generated reconstruction rather than a recovery of the original missing pixels.
Review important product geometry, logos, text, faces, hands, anatomy, or other exact details before using the result.
Inpainting in 7 Steps
Upload the Incomplete Image
Choose a photo where part of a subject or object is missing, erased, disconnected, or visibly incomplete — such as a chair with a missing armrest or a bag with a missing corner.
Select the Missing Area
Brush over the region that needs to be reconstructed. Include a small amount of the visible boundary around it so AI understands how existing edges and shapes should continue.
Describe What Should Continue
Describe the missing part, its material and shape, how it continues, and any lighting or perspective details that matter.
Choose Standard or Pro
Use Standard for straightforward local edits, or Pro when the missing region involves more complex structure, materials, or lighting.
Generate the Completion
AI reconstructs the selected region using your source image, mask, and prompt as context.
Compare Before and After
Use the Before and After slider to check shape continuity, material consistency, lighting direction, perspective, and edge blending.
Refine if Needed
If the result does not match what you intended, edit the mask or make the prompt more specific and generate another version.
Common Mistakes to Avoid
Masking Too Much
If you select most of the subject, AI has less unchanged visual information to follow. Keep the selection focused on the missing part whenever possible.
Masking Too Little
If the mask stops exactly at the empty boundary, AI may struggle to blend the new content with the visible edge. Include a small amount of the surrounding subject.
Writing an Unclear Prompt
“Fix it.” is too vague. Try “Complete the missing wooden chair leg, matching the existing shape and floor perspective.” instead.
Asking AI to Recover Invisible Facts
AI cannot know exactly what was hidden, deleted, or cropped away. Describe the result you want rather than asking it to recover unseen information.
Expecting Exact Text or Logos
AI can generate approximate visual details, but important text, logos, symbols, and precise brand elements may require manual editing.
Complete an Existing Subject Without Rebuilding the Whole Image
When part of a subject is missing, Generative Fill can create a plausible continuation using the visible image as context. AI looks at nearby shapes, materials, colors, lighting, perspective, and your prompt to determine what could naturally continue inside the selected region. The edit is focused on the area you select, so you can complete a missing chair arm, product edge, sleeve, illustration detail, or other local element without replacing the entire image.
Common Ways to Complete Missing Parts of an Image
Fix Incomplete AI Images
Repair subjects that were generated with missing, disconnected, or unfinished details without regenerating the entire image.
Complete Product Photos
Reconstruct missing handles, straps, corners, edges, materials, or other visible product details for visual presentation.
Repair Furniture Details
Complete chair arms, table edges, legs, cushions, shelves, or frame sections using the existing design as context.
Finish Clothing
Continue sleeves, hems, fabric folds, straps, footwear, or other incomplete fashion details.
Complete Illustrations
Rebuild unfinished shapes, linework, patterns, characters, decorative elements, or textures.
Fill Erased Areas
Generate new visual content inside areas that were manually erased or removed from an image.
Complete an Existing Object or Add Something New?
Add Missing Parts
Use this tool when part of an existing subject is already visible and you want AI to continue it.
- Missing chair arm
- Incomplete sleeve
- Broken product edge
- Erased illustration detail
Add Object
Use Add Object when the thing you want does not already exist in the image.
- Add a lamp
- Add a coffee cup
- Add a plant
- Add a decoration
Something already exists but is incomplete → Add Missing Parts. Something new should appear → Add Object.
Missing Subject or Missing Background?
Add Missing Parts
Reconstruct part of the subject itself.
- Chair
- Product
- Clothing
- Person
- Illustration
Repair Background
Reconstruct the environment behind or around the subject.
- Wall
- Floor
- Sky
- Backdrop
- Landscape
Missing object detail → Add Missing Parts. Missing environmental area → Repair Background.
Inside the Image or Beyond the Image Edge?
Add Missing Parts
Use Generative Fill when the missing region is inside the current image canvas.
Image Extender
Use Image Extender when the content you want needs to continue beyond the existing image boundaries.
Chair arm erased inside the photo → Add Missing Parts. Chair is cut off by the right edge of the photo → Image Extender.
Prompt Examples
““Complete the missing right armrest of the chair using the same dark walnut wood and curved frame as the visible left side. Match the existing perspective, thickness, and soft room lighting.””
““Reconstruct the missing lower-right corner of the handbag, continuing the black leather texture, stitching, edge shape, and studio lighting.””
““Complete the missing lower half of the sleeve using the same cream knit fabric, natural folds, direction, and soft daylight.””
““Complete the missing section of the illustrated fox tail, continuing the orange shape, dark outline, flat vector style, and existing curve.””
““Generate a plausible continuation of the missing lower forearm and sleeve, matching the existing pose, clothing, lighting, and perspective.””
Frequently Asked Questions
What does “add missing parts to an image” mean?
It means using AI to generate new content inside a selected incomplete area so an existing subject appears visually complete.
Can AI restore the exact original missing part?
No. AI generates a plausible reconstruction based on the visible image and your prompt. It does not recover deleted or hidden original pixels.
Can I complete part of an object?
Yes. You can reconstruct missing edges, corners, handles, legs, frames, straps, or other incomplete object details.
Can I complete a cropped object?
If the missing region is still inside the current image canvas, Generative Fill can help. If the object needs to continue beyond the edge of the image, use an Image Extender instead.
Can I add missing parts to a person?
Yes. AI can generate plausible continuations for incomplete clothing, hair, limbs, or other body-related regions. Hands, faces, and anatomy should be reviewed carefully.
Can I repair missing product details?
Yes. You can reconstruct visual elements such as handles, straps, corners, edges, packaging areas, or surfaces. Exact functional geometry and branded details may require manual correction.
Can AI complete missing clothing?
Yes. Generative Fill can continue sleeves, hems, folds, straps, fabric areas, and other partially missing garment details.
Can I complete furniture parts?
Yes. AI can reconstruct missing chair arms, table edges, legs, cushions, shelves, frames, and similar furniture details using the visible structure as context.
Can I use it on illustrations?
Yes. It can continue shapes, patterns, characters, textures, linework, and other incomplete illustrated areas.
Does it change the whole image?
The AI generation is focused on the area you select. The surrounding image is used as context, while the edit remains concentrated on the masked region.
How much of the image should I select?
Select the missing area and include a small amount of the surrounding visible edge. Avoid masking large parts of the image that already look correct.
Do I need a long prompt?
No. A short, specific description of the missing part is usually more useful than describing the entire image.
What is the difference between Add Missing Parts and Add Object?
Add Missing Parts continues something that already exists in the image. Add Object introduces a new object that was not already there.
What is the difference between Add Missing Parts and Repair Background?
Add Missing Parts reconstructs the subject or object itself. Repair Background reconstructs damaged or missing environmental areas such as walls, floors, scenery, or backdrops.
Will AI reproduce logos or text exactly?
Not necessarily. AI-generated lettering, logos, symbols, and precise branded details can be inaccurate and should be reviewed or edited manually.