Cleanup.pictures

Use Case 1: Professional Real Estate Image "Depersonalization"

Problem: Real estate agents often take photos of occupied homes where personal items—like family photos, messy power cords, or refrigerator magnets—distract potential buyers and make it difficult for them to envision themselves in the space.
Solution: Cleanup.pictures allows agents to "clean" a room digitally. By brushing over distracting elements, the AI reconstructs the background (like the wall or floor) to create a neutral, staged look without the cost of a professional stager.
Example: An agent takes a photo of a beautiful kitchen that has a cluttered countertop. They use the tool to remove a dish rack and a stack of mail, creating a clean, high-end "hero shot" for the listing.

Use Case 2: Rapid E-commerce Product Refinement

Problem: Small business owners often shoot product photos in imperfect environments. These photos may contain distracting reflections, dust particles, or manufacturer stickers that make the product look unprofessional for platforms like Instagram or Shopify.
Solution: Instead of reshooting or spending hours in complex software like Photoshop, sellers can use Cleanup.pictures to instantly remove imperfections. The AI "inpainting" technology guesses what should be behind the removed object, maintaining the texture of the product.
Example: A jewelry maker uploads a photo of a ring but notices a spec of dust and a distracting reflection on the band. They brush over the spots and have a clean, studio-quality product image ready for an Instagram Story in 30 seconds.

Use Case 3: Seamless Historical Photo Restoration

Problem: Photographers and hobbyists often deal with physical photographs that have suffered "cracks," scratches, or have unsightly digital date stamps from older cameras. Manual "clone stamping" these defects is time-consuming and often leaves visible smears.
Solution: Cleanup.pictures is specifically designed to handle "defects." Its AI identifies the surrounding patterns to fill in cracks and scratches naturally, restoring the integrity of the original image with much higher quality than traditional tools.
Example: A photographer restoring a 1970s family portrait uses the tool to remove a large white crease running through the center of the image and deletes the orange "10/12/78" timestamp in the corner.

Use Case 4: Automating Image Cleaning for App Developers

Problem: Developers building platforms for user-generated content (like social apps or marketplace apps) need a way to help users clean up their images (e.g., removing sensitive info or distracting objects) directly within their own application's workflow.
Solution: Using the Cleanup.pictures API, developers can integrate high-quality inpainting directly into their product. This allows the app to provide professional-grade image editing features without the developer having to build and train their own AI models.
Example: A developer of a "used car marketplace" app integrates the API so that when a user uploads a photo of their car, they can quickly brush out their license plate number for privacy before the ad goes live.

Use Case 5: Travel Content Creation and "Tourist Removal"

Problem: Content creators and influencers often find that perfect shots of landmarks are ruined by "photo bombers" or crowds of tourists in the background, making it impossible to get a "solo" look at popular destinations.
Solution: Cleanup.pictures allows creators to remove unwanted people from the background of their photos. By using a slightly larger brush to cover both the person and their shadow, the AI creates a seamless landscape that looks as if the creator was there alone.
Example: A travel blogger captures a great pose at the Trevi Fountain but there are three tourists clearly visible behind them. They use the tool to brush out the tourists, and the AI fills in the fountain's stone details perfectly.