Image Standardization
Resize, recolor, crop, and remove backgrounds — one raw photo becomes every channel-ready format automatically.
Open engine →Every ZYNG OS engine runs standalone — and composes with the others in whatever sequence your catalog needs. No fixed pipeline. No forced migration. Adopt one module or boot the whole system.
Each engine is a production system with its own job, its own page, and its own entry point. Nothing here requires anything else.
Resize, recolor, crop, and remove backgrounds — one raw photo becomes every channel-ready format automatically.
Open engine →An automated rules engine that inspects every asset at ingestion and stops non-compliant images before they ship.
Open engine →Infinite outfit combinations composited from one base model plus interchangeable garments.
Open engine →Custom diffusion models map any garment onto a single selfie in under 2 seconds.
Open engine →The full visual AI tool suite in a self-serve sandbox — your aspect ratios, margins, and resolutions.
Open engine →When one engine's output is another's input, they pipe together — in any order. Three patterns we see most:
Vendor uploads arrive in every shape imaginable. Standardization reformats them; Vision QC gates what goes live. Two engines, zero manual review.
One base shoot becomes a full lookbook: Mix & Match builds the combinations, Virtual Try-On puts them on real bodies.
Re-platforming or entering a new channel? Reformat an entire back catalog to new specs without reshooting a single SKU. One engine is enough.
Three stacks we see in production. Every engine linked here also runs on its own.
One shoot. Every look.
Model day-rates, studio time, and reshoots for every colorway make lookbooks the most expensive line in the content budget. ZYNG OS turns a single base shoot into the full matrix.
Compliant listings at ingestion.
Thousands of vendors, thousands of photo styles, one set of listing standards. Manual moderation doesn't scale — automated standardization and QC do.
Bulk edits without the burnout.
Retouching thousands of SKUs by hand means deadline crunch and inconsistent output. Put the repetitive 80% on the OS and keep your artists on the work that needs them.
Estimate the hours and budget your team spends producing channel-ready images by hand — and what automating the repetitive share would return. Your numbers, your assumptions.
Estimates based on your inputs only — not a ZYNG OS quote. Repetitive formatting, background, crop and QC tasks are typically the automatable share.
Yes. Every engine — Image Standardization, Vision QC, Mix & Match, Virtual Try-On, and AI Studio — is independently callable. You can adopt a single engine for one workflow and never touch the rest.
No. There is no fixed pipeline. Engines compose in any order that fits your workflow — standardize then QC, style then try on, or run any engine on its own.
The engines are production systems built for one job at scale. AI Studio is the self-serve sandbox where the full tool suite is available interactively — useful for experimenting, one-off runs, and building custom workflows.
Marketplaces typically start with Image Standardization to normalize vendor uploads, then add Vision QC to gate compliance automatically. Both run standalone, so you can adopt them one at a time.
Yes. AI Studio is a self-serve sandbox where the full tool suite runs interactively — no integration required. Engineering teams can integrate engines directly when they're ready to automate at scale.
No. Engines slot into the workflow you already have: they take your existing photography as input and return assets in your specs. Adopt a single engine for one step, or compose several.
Manual cost = images per month × minutes per image × your hourly cost. The automated share applies your chosen automation rate to that workload. All inputs are yours — it is an estimate, not a ZYNG OS quote.
See how teams run them individually and together — or open the sandbox and try the tools yourself.
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