Direct your next drop with the AI Product Launch 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.

It replaces “prompt roulette” with repeatable scene direction, so your product reels stay consistent from one SKU to the next. Teams can iterate on camera motion, framing, lighting, and background while keeping the garment faithful to your actual design.

RAWSHOT also packages the operational details that marketing needs: token-based pricing by duration, per-image signed audit trail, and provenance plus labelling cues. Use the browser GUI for quick variants, then switch to the REST API when you want catalog-scale throughput.

By generating reels from your garment data in batches, not by scheduling reshoots for every seasonal update. You save the same model and reuse it across your catalog, so the face and body stay consistent while your visuals evolve.

Instead of rebuilding scenes from scratch, you keep style aligned through presets and keep composition controlled through framing and camera controls. Then publish with full commercial rights, permanent and worldwide, backed by C2PA-signed provenance and watermarking cues.

Start with a scene preset, then click in framing, lighting, background, camera motion, and model action. The garment-led controls represent cut, colour, pattern, logo placement, and fabric drape faithfully in motion.

From there, adjust shot count and duration, generate the reel, and review the output before exporting. The result is a repeatable workflow you can run for single launches in the GUI or nightly pipelines via the REST API.

Because prompt-driven tools often drift on product details and can invent branding or visual elements that aren’t yours. With RAWSHOT, garment fidelity is treated as the brief, so your reels stay anchored to your actual design.

You also avoid inconsistent faces across outputs, which breaks catalog credibility when you need one brand presence across hundreds of SKUs. RAWSHOT adds provenance and watermarking cues so publication workflows stay clear.

Yes. Each output carries C2PA-signed provenance plus visible and cryptographic watermarking cues, along with AI labelling designed for transparent usage.

That makes it easier for operations to approve assets before they go live, especially when multiple teams touch the workflow. You also get a signed audit trail per image, which supports internal accountability for every reel you publish.

Confirm garment fidelity first: cut, colour, pattern, logo placement, and fabric drape should match your product specs. Next, verify model consistency for the saved character across SKUs and review the framing for each platform aspect ratio you plan to publish.

Finally, check the output labelling and provenance cues so your review process remains consistent. With RAWSHOT, those compliance artefacts are built in, so your QA focuses on creative accuracy rather than assembling metadata later.

Video pricing scales by duration because video generation uses more tokens per second than stills. That means longer clips cost more, while short launch moments keep costs predictable for rapid marketing cycles.

Tokens never expire, and failed generations refund their tokens, so iteration doesn’t turn into silent spend. Use the cancel option for quick course correction and generate only the durations your launch plan needs.

Yes. RAWSHOT supports REST API workflows for catalog-scale pipelines, while the browser GUI covers single-shoot work for quick iterations and approvals.

That separation makes it practical to run automated production without sacrificing scene control. Your teams can keep consistent models, styles, and framing across SKUs while your production system handles throughput.

Save the model and reuse it across your catalog, then keep visual direction consistent with presets and click-based controls for camera, lighting, and framing. That combination prevents drift in both character and composition across multiple SKUs.

For scale, run batch generation through the REST API and keep publishing governance clean with C2PA-signed provenance and a signed audit trail per image. Your process becomes repeatable: generate, verify, publish with full commercial rights, permanent and worldwide.