Build product catalogues without repeating the same editing work.
Create a quick catalogue image in the working browser studio, then scale the same composition, naming and quality rules across complete product batches. Managed workflows can add capture, extraction, watermarking, duplicate control, human review and marketplace delivery.
The business problem
Retailers, manufacturers and online sellers producing catalogue images by hand face repetitive editing, inconsistent backgrounds and filenames, and no systematic way to catch duplicate or low-quality outputs before publication.
The old way
A designer manually crops, extracts, renames and re-backgrounds every product photo one at a time, while staff repeatedly coordinate missing shots and inconsistent SKU names.
The Ambic system
A product-imaging system for turning raw photographs into consistent, branded and correctly named catalogue assets.
The workflow
Screens shown from a live demo deployment — a business's actual branding, links and data will be its own.
At a glance
- Status
- Working Demo / Pilot Deployment
- Users
- Retailers, manufacturers and e-commerce teams
- Inputs
- Raw product and price-tag photographs
- Outputs
- Named, branded studio images and channel-ready derivatives
- Human review
- Human quality review before catalogue entry
- Deployment
- Available for selected implementations, customisation and pilot deployments.
What’s configurable
- Approved background styles
- Watermark placement, size and opacity
- Duplicate-detection retention window
- Model/lifestyle image pose selection
What requires custom development
- New ornament categories outside the current library
- Marketplace-specific export formats
- Integration with an existing catalogue or ERP system
How it works
Key modules
Expand each section for the full technical detail.
Core processing pipeline
- Automatic product-pair detection from raw photograph and tag images
- Product extraction designed to preserve original form, colour and structure — not to redesign it
- Edge and transparency handling for detailed products, with difficult materials routed to human review
- Studio compositing onto an approved branded background with consistent scale and centring
Multi-engine processing
- Configurable multi-engine processing with fallback support across processing providers
- Engine health tracking that pauses a failing provider rather than repeatedly retrying it
- Manual engine selection per batch, including non-generative Photoshop-based workflows when fidelity is the priority
Branding & model imagery
- Automatic watermarking with adjustable opacity, size and placement
- Support for multiple logos across collections, sub-brands or marketplace exports
- Live watermark preview before generating full output
- Optional lifestyle/on-model image generation with pose rotation across a batch — presented as AI-assisted visualisation, not exact virtual try-on
Quality & duplicate control
- Duplicate detection against recent processing history (configurable retention window)
- Jewellery-presence check to reject blank or irrelevant outputs before approval
- Blur and quality checks that flag low-detail or unusable images for review
- Reject-and-requeue flow that returns a single item to processing without restarting the batch
Operational benefits
- Reduces repetitive image editing across large product batches
- Improves catalogue consistency across studio and lifestyle imagery
- Protects product identity rather than allowing uncontrolled generative redesign
- Reduces duplicate catalogue entries and improves quality control
- Supports e-commerce, social media and internal catalogue needs from one workflow
Security & quality controls
- The browser demo processes the image locally and works best with a plain, evenly lit background
- Managed processing is designed to preserve product design, colour and structure — not promoted as pixel-perfect under every condition
- External AI-provider availability is not guaranteed; engine fallback is configurable, not absolute
- All outputs pass through human quality review before catalogue entry
- Model/lifestyle imagery is described as AI-assisted visualisation, not exact fit or scale representation
AI-assisted outputs require product-fidelity and quality review.
Who it’s for
- Retailers, manufacturers and distributors
- E-commerce and marketplace sellers
- Jewellery, fashion, beauty, homeware, packaged-goods and accessory businesses
- Businesses producing large, recurring product-photo batches
- Teams that need consistent studio and lifestyle imagery from one workflow
Deployment approach
Available for selected implementations, customisation and pilot deployments.
FAQ
Can I try Catalogue Studio now?
Yes. The working quick studio runs in your browser and can remove a plain connected background, change the canvas and backdrop, add a studio shadow, apply an SKU-safe filename and download the result. Difficult scenes and commercial batches remain part of the managed, human-reviewed workflow.
Are the model images an exact preview of how the jewellery will look worn?
No — they're presented as AI-assisted lifestyle visualisation, not an exact virtual try-on, unless true measurement and fit accuracy has been separately validated for a deployment.
What happens if one AI processing provider is unavailable?
The system supports configurable multi-engine processing with fallback, so a batch can generally continue through another configured method rather than stopping entirely — though uninterrupted third-party availability is never guaranteed.