Product Studio is an all-in-one AI photo studio for turning any product photo into professional e-commerce and marketing imagery. Studio shots, lifestyle scenes, ghost mannequins, flat lays, background blur, recoloring, shadow effects, wrinkle removal โ it covers the full product photography workflow in a single tool.
Start from one product photo, create a clean base, then build reviewed variants for listings and campaigns without losing sight of the source product. Checked 2026-08-26 against this manifest.
What you can do
- studio_shot โ clean white or colored background with professional lighting for e-commerce listings
- lifestyle_shot โ place the product in a real-world scene like a kitchen counter or office desk
- ghost_mannequin โ remove the model or mannequin from clothing while keeping the garment's 3D shape
- flat_lay โ overhead flat lay arrangement with styled props and surfaces
- remove_object โ clean up distracting elements, people, or stickers from the background
- beautify โ enhance lighting, sharpness, and color without changing the composition
- add_shadows โ add realistic drop or contact shadows for depth
- unwrinkle โ smooth out creases in clothing photos
- recolor โ generate color variants without reshooting
- blur_background โ add a depth-of-field bokeh effect
- resize_expand โ expand the image to a new aspect ratio with AI-generated background
- ai_edit โ freeform natural language edits for anything not covered above
- list_models โ compare the available image models before choosing one for a task
Who it's for
E-commerce sellers, fashion brands, DTC product companies, marketers building social creative, and any business that needs consistent product imagery at scale.
How to use it
- Start with studio_shot to get a clean base image on a white or colored background
- Use lifestyle_shot with a scene description to create contextual marketing imagery
- Chain recolor to generate color variants, or resize_expand to adapt images for different formats
Getting started
Try studio_shot with "https://toolrouter.com/demo-product-photo.webp" and compare it with the source. Representative manifest-schema shape: images, source_image, model [redacted]. Product fidelity is not guaranteed; timing varies.