Format everything
instantly.

It is a full visual processing pipeline for product photography. In a single automated pass it can outpaint and resize canvases, swap background colours, remove and clip backgrounds, anatomy-crop to any body position, resequence SKU shots into platform-correct order, and route every asset through conditional workflow rules keyed on category, model angle, and channel — outputting channel-ready assets in WebP, PNG, JPG, AVIF, or TIFF at any DPI, entirely without manual editing.

ZYNG OS reads every shot in a raw SKU folder, classifies each by angle — Full Front, Back, Side, 3/4, Detail, Lifestyle — and maps it to a numbered position defined by your sequence rule. You define the template once (e.g. Position 01 = Full Front, 02 = Back, 03 = Side) and the engine reorders and renames the entire folder automatically at output. You can create unlimited templates — one per retailer, per SKU category, or per campaign — and switch between them per batch via API or dashboard.

The Body Crop Engine uses anatomy-aware AI to identify joint and limb anchors, then restricts the output frame to your specified crop zone. Supported positions include Full Body, Waist Up (hip to top), Hip to Bottom, 3/4 Angle, Face Close-up, and any custom bounding box you define. All crops are centre-aligned and apply consistent proportional padding, so the result is uniform across your entire catalog regardless of how the original shot was framed.

The AI Colour Shift engine segments the garment surface using boundary markers, calibrates the detected fabric to a target hexadecimal reference swatch, and preserves the natural shadows, folds, and luminosity of the original shot. You can swap the background to any colour — warm tone, green, purple, or a custom hex — without re-shooting.

The BG Control suite offers three outputs from a single raw image: a clean subject on a transparent or white background (BG Removed), a binary silhouette mask for compositing workflows (Mask Layer), and a vector clipping path embedded directly in the file (Clipped Path). All three use pixel-precise edge detection and are exported as WebP or PNG with embedded alpha, ready for any downstream platform or design tool.

You define IF/THEN rules once and the engine evaluates every incoming asset against them. Rules can key on product category (footwear renders 1:1 on white with 20% padding, dresses get 3:4 waist-up crops), detected model angle (front, back, side, 3/4, detail — each routed to its own crop chain), and brand or channel (Amazon 1:1 at 2000px, PDP 3:4, Instagram 9:16 under 350 KB). All of it is configurable end-to-end on the ZYNG Enterprise API — write to us at contact@zyngai.com to design your rule set.

Every export is fully configurable. You can select from .WEBP, .PNG, .JPG, .AVIF, and .TIFF container formats, adjust quality compression from 1–100%, set pixel density from 72 DPI (web) to 300 DPI (print), and enforce maximum file size thresholds in KB for automated optimisation. All parameters are available via the Output Settings panel in the dashboard or as API payload fields.

Yes. Every standardization protocol — Magic Resize, Colour Swap, BG Removal, Body Crop, Shot Sequencing, and Conditional Workflow Rules — is available as an API endpoint and can be chained into a single batch job. Connect ZYNG OS directly to your PIM, DAM, or e-commerce platform to process entire vendor catalogs automatically. Conditional rules, sequence templates, and output specs are all version-controlled and switchable per batch ID or SKU tag.