Direct your next drop’s campaign with the AI Apparel Video Generator—click-built scenes, garment-faithful motion, and labeled outputs.

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 turns motion into a repeatable, garment-led workflow instead of a one-off creative gamble. When you control camera motion, framing, lighting, and action with UI options, you can generate consistent reels across product variants.

RAWSHOT also bakes in C2PA-signed provenance, watermarking cues, and labelled synthetic models so your marketing and compliance teams stay aligned. You can generate browser-by-browser for single assets and then switch to REST API for catalog-scale pipelines without changing how you direct the look.

Because reshoots reset timelines, budgets, and creative continuity. With RAWSHOT, you generate motion reels from the same garment brief while preserving cut, color, pattern, logo placement, and drape fidelity.

You also keep model consistency across SKUs, so your catalog pages and ads don’t drift visually between versions. Add in signed audit trail signals per output and clear commercial rights language to reduce review cycles before publishing.

In RAWSHOT, you don’t write instructions—you select the reel setup using UI controls. Choose aspect ratio, duration, resolution options, camera motion, lighting system, background, and model action to direct the scene.

The garment remains the brief, so the reel stays faithful to the product rather than bending around a free-text idea. Generate multiple takes quickly, then publish with labelled, watermarked outputs that carry provenance metadata.

Garment-led control reduces drift because the system is built around the real product details and UI-directed scene controls. DIY prompting can reinterpret garments each run, which shows up as cut or logo inconsistencies across outputs.

With RAWSHOT, you also get predictable iteration patterns: same model, consistent face, and controlled style presets that help your PDP visuals remain stable. You’ll still review outputs, but you won’t spend time chasing invented branding or patchy garment details.

Yes. RAWSHOT includes C2PA-signed provenance metadata plus visible and cryptographic watermarking cues, and it labels synthetic outputs for transparency.

That means your publishing workflow has clearer governance for marketing teams and downstream partners. It also helps you manage the compliance story aligned with EU AI Act Article 50 and California SB 942, not as a footnote but as a built-in product property.

Start with garment fidelity: verify cut, color, pattern, logo placement, and drape match the product brief. Then check model consistency across the SKU set so faces and styling align across all reels you plan to publish together.

Finally, confirm provenance signals and watermarking cues are present in the exported outputs and that the intended aspect ratio and resolution are correct for the channels you’re targeting. With RAWSHOT, the signed audit trail and labeling are part of the pipeline, so QA focuses on creative correctness rather than content provenance uncertainty.

Video is priced differently because it consumes more tokens per second than still images. The video rate is built around ~$0.22 per second with ~50–60 seconds per generation, so longer clips cost more than shorter ones.

Tokens never expire, and failed generations refund tokens, which reduces surprise overhead during iteration. You can cancel in one click from the pricing page, keeping procurement and production planning straightforward for commerce teams.

Yes. RAWSHOT supports both a browser GUI for single reel creation and a REST API for catalog-scale pipelines. That lets teams automate batch generation while keeping the same garment-faithful, UI-directed creative control approach.

Because the workflow is anchored to product settings rather than typed instructions, catalog ops can rehearse updates consistently across launches and seasonal changes. You also get signed audit trail signals and labelled outputs that travel through your review and publishing process.

Use the GUI for art direction and the REST API for throughput, then standardize on a visual style preset library inside the controls. Assign operators to reel setup and exporters to batch runs so you can move from single-assets to catalog-scale output without rework.

RAWSHOT supports stable SKU workflows: same model identity across your catalog, consistent garment-led direction, and clear commercial rights language for every clip. That keeps roles clear and reduces the back-and-forth that slows publishing when multiple people iterate on the same SKU set.