Direct your next catalog shoot with the Cover-up AI On-model Photography Generator, powered by clicks—not prompts.

Never—you direct every output with sliders, presets, and clicks on the garment, not typed prompts. That UI control is consistent across GUI and REST API payloads, which is why ecommerce teams onboard buyers without rewriting creative briefs as chat threads.

For catalog teams, reliability matters more than model cleverness; RAWSHOT keeps tokens, timings, refund rules, commercial rights framing, provenance signalling, watermarking cues, REST surface, and SKU-scale batch patterns explicit so operations can rehearse PDP launches without hallucinated garment inventions.

It changes the workflow from reshooting and manual retouching to controlled, garment-led generation you can run per SKU. Instead of repeating a whole studio day for every update, you keep the same model representation and steer composition with UI controls.

RAWSHOT is engineered around the real product—cut, colour, pattern, logo, fabric, and drape stay faithful. Each image includes C2PA-signed provenance and watermarking so your catalog operations can publish with traceability, not guesswork.

Because product updates are constant, and reshoots are slow, expensive, and logistically heavy. Prompt-based DIY workflows often introduce drift—garment details and faces change across outputs—so you lose catalog uniformity.

RAWSHOT keeps the garment as the brief and focuses your edits on framing, lighting, and style presets. You also get stable model representation across SKUs and a signed audit trail per image, which keeps approvals and publishing consistent.

You choose garment focus, lens feel, framing, pose, and lighting using RAWSHOT’s UI controls, then generate. Every creative decision is a click or preset, so you can reproduce the same look across variants without learning prompt syntax.

For scale, you can run the same controls via REST API in a catalog pipeline. Output arrives as 2K or 4K stills with provenance signalling and full commercial rights, permanent and worldwide.

Because garment-led control reduces drift and keeps your product details stable across iterations. Generic image AI often adapts results to what it thinks your prompt means, which can mutate logos, patterns, or proportions from one SKU to the next.

In RAWSHOT, cut, colour, pattern, logo, and drape are represented faithfully, and you steer style with 150+ visual presets. You also keep the same model representation across your catalog to preserve brand continuity.

Yes. RAWSHOT outputs are C2PA-signed and include visible plus cryptographic watermarking and AI labelling, so your compliance team has an audit trail to review.

This provenance approach supports requirements aligned with EU AI Act Article 50 and California SB 942, and each image carries a signed audit record. That makes internal approvals faster because the image’s generation metadata and labelling are built-in.

Do a fast product fidelity review for cut, colour, pattern, and logo placement, and confirm the chosen aspect ratio and resolution match your PDP requirements. Then verify model consistency across the set so customers see one coherent brand presentation.

Because RAWSHOT outputs include C2PA-signed provenance and watermarking cues, you can also verify attribution expectations in your internal pipeline. For anything you want to refine, adjust with the same UI controls and regenerate.

Stills are priced per image at about ~0.55 per image and typically generate in ~30–40 seconds. Tokens never expire, and you can cancel with one click on the pricing page, which keeps production planning predictable.

If a generation fails, RAWSHOT refunds the tokens, so you’re not paying again for a technical retry. This makes it easier to schedule nightly or same-day catalog updates.

Use the browser GUI for single shoots, then switch to REST API for catalog-scale pipelines. That lets you automate variants across SKUs while keeping the same control logic and output expectations.

Your images come with C2PA-signed provenance and rights clarity, so downstream systems can ingest assets with less manual overhead. The workflow stays consistent between ad hoc creative tasks and scheduled production runs.

Creative can own the visual style direction—camera feel, framing, lighting, and the preset look—using the click-driven GUI. Ops can own model reuse, batch dispatch, and asset routing in the REST API pipeline.

Because RAWSHOT maintains SKU consistency and provides an audit trail per image, approvals become repeatable instead of subjective. You end up with faster throughput while keeping the product brief and publication requirements aligned.