Remove Strangers From Your Graduation Photo Without Touching You | Remove Object | PixelAPI EP13
Perfect graduation pose, but strangers walking through the background? Upload the photo to Remove Object on pixelapi.dev, type what should go, check the filled steps and edges at full zoom, and keep the original beside the edit.
Demonstration scenario, not a customer testimonial. Arjun and his family are AI-generated, the story scenes are AI-generated dramatisations (labelled on screen), and the graduation photograph is an AI-generated demo image; no customer photos were used. pixelapi.dev Remove Object was recorded live and the edited photo shown is an untouched output; processing waits are trimmed. The filled area is an interpretation of what was hidden, so keep the original. The presenter is Om’s authorized AI avatar with generated voice.
Published on YouTube, LinkedIn, Instagram and Threads: YouTube · LinkedIn · Instagram · Threads
Chapters
- 0:00 Graduation day, and strangers walking through the one photo you wanted
- 0:09 Every eye goes to the people crossing behind the graduate
- 0:17 Remove Object on pixelapi.dev: upload and type what should go
- 0:28 Before and after: people removed, steps and columns rebuilt
- 0:36 Zoom into the filled spots before sharing
- 0:45 The photo the family prints for the wall
- 0:52 Try Remove Object for tourists, bins and wires
Type exactly what should go
Upload the photo to Remove Object on pixelapi.dev (or POST /v1/image/remove-object) and describe the unwanted things plainly, for example "the people walking in the background". The tool finds each one, erases it and rebuilds the background, while the people you want to keep stay as they were. For exact control you can upload a mask instead.
Zoom into every filled spot
Before sharing, compare before and after and zoom into each area that was filled, especially steps, railings and edges near the people you kept. If something still looks soft, describe it more precisely and run it again.
Keep the original
The filled area is an interpretation of what was hidden, not a record of it. Keep the original beside the edit, and do not use edited photos as evidence.
Video transcript
Graduation day, your proudest smile, and five complete strangers wandering through the background of the one photo you wanted. Let's rescue it. Arjun loved his pose on the college steps, but every eye went to the people crossing behind him. On pixelapi.dev, open Remove Object, upload the photo, and type what should go, the people walking in the background. PixelAPI finds each person, erases them, and rebuilds the steps and columns while Arjun stays exactly as he was. Before sharing, zoom into the spots they left. If anything still looks blurry, describe it more precisely and run it again. Now this is the picture his mother prints for the living room wall with nobody else in the frame Stray tourists a bin beside the stage, wires over a sunset. Try Remove Object at pixelapi.dev.
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