Direct your next drop’s reel with the AI Sale Video Generator.

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.

You get motion assets that follow your product and your brand settings without turning production into a prompt-chasing loop. Sale work needs iteration—different lighting, framings, and styles—and RAWSHOT exposes those choices as controls you can adjust per reel.

Use the scene builder to set camera motion, framing, lighting, and background, then choose from 150+ visual style presets. Each generation includes provenance, watermarking, and AI labeling so your marketing ops team can approve publish-ready files quickly.

Because seasonal refreshes repeat the same operational steps over and over: booking, sampling, shipping, and waiting for studio-ready assets. With RAWSHOT, you can generate sale motion reels by reusing the same model identity and directing the scene from the product.

That keeps SKU-level work consistent across variants while reducing the back-and-forth that usually happens after a reshoot. You also gain a signed audit trail per output, which makes approvals smoother for teams that audit creative sources.

Start in the browser scene builder and lock the look with controls for camera motion, framing, lighting, and background. Then select a visual style preset that matches your sale campaign mood—catalog-clean, editorial, or lifestyle.

When you click generate, the system keeps the garment as the brief, so details like cut, color, pattern, logo, fabric, and drape remain faithful. The output arrives with labeled compliance metadata and watermarking, so it fits directly into publishing workflows.

Prompt roulette introduces uncertainty: your text intent can steer the model toward invented details instead of your real product. RAWSHOT is built around the garment and uses UI controls instead of typed instructions, which keeps the product details stable through iterations.

It also helps your team maintain a consistent face and body across SKUs by saving and reusing models. That’s a practical difference when you need catalog consistency across many variants for sale schedules.

Yes. Every RAWSHOT output carries C2PA-signed provenance metadata and multi-layer watermarking, including visible and cryptographic marks, plus AI labeling.

For sale production, this matters because brand and legal reviews need more than “looks good.” With a signed audit trail per output, teams can verify what generated the asset and keep creative provenance consistent across releases.

Use a simple QA pass: confirm cut, color, pattern, and logo placement directly against your garment reference, then check the reel framing for the selling features you care about. RAWSHOT is engineered so the garment is the brief, which helps reduce unwanted mutations between takes.

Also verify the output labeling and watermarking indicators before uploading to your channels. Your compliance-ready file is the deliverable—so the final QA step is repeatable for each SKU.

Video is priced per second of clip length, so longer reels cost more than stills. For stills, the generation workflow is priced per image; for motion, you’re buying duration-based output.

Generation typically takes about 50–60 seconds per clip, tokens never expire, and failed generations refund their tokens. There’s also one-click cancel, so your team can stop experiments without getting stuck on per-seat restrictions.

Yes. RAWSHOT supports both a browser GUI for single-shoot work and a REST API for catalog-scale pipelines. That makes it practical for teams managing large SKU sets and production schedules.

In API-driven workflows, your scene direction still stays control-based, not prompt-based. You also retain provenance and labeling in the produced files, which keeps downstream review and asset management consistent across automation.

Scale by standardizing your UI controls and style presets, then reuse your saved model identity across SKUs. Your team can collaborate on the same scene configuration approach while generating reels quickly for sale windows.

REST API enables batch runs for catalog-scale drops, while the GUI supports quick checks and iteration when you need creative adjustments. The result is a repeatable workflow that stays consistent from one operator to the next.