Direct reels for your next drop with the AI Fashion Film Generator—directed by clicks, not typed 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 garment inventions that don’t match your product. Click, adjust, generate.

It replaces the slow cycle of reshoots and creative rework whenever you need a new angle, crop, or seasonal update. Instead of coordinating studio days or chasing samples across locations, you generate on-model reels from the garment-led inputs you already manage for merchandising.

With RAWSHOT, you click camera motion, framing, lighting, and background via a scene builder, then generate labeled outputs ready for commercial use. For catalog-scale needs, the REST API keeps your workflow repeatable while preserving garment fidelity and model consistency across SKUs.

Because product pages sell details, and details are where generic AI tends to drift. If colour, logo placement, fabric feel, or drape changes between takes, your PDP and ads stop matching the actual item customers receive.

RAWSHOT is built around the garment as the brief, with controls that keep cut, colour, pattern, logo, fabric, and drape faithful from shot to shot. You can iterate creative direction without gambling on invented branding or accidental product mutations.

You build the motion scene in the app by selecting camera movement, model action, framing, lighting, background, and aspect ratio through presets and sliders. The workflow is designed like a real production UI, so your creative decisions are explicit and repeatable.

Once you pick a scene setup, generate the reel and review provenance and watermark cues tied to that output. If you’re running many SKUs, switch to the REST API and batch-generate while keeping the same model and creative logic for consistency.

Those tools optimize for what looks plausible, which is why garments can drift, faces can change, and rights can stay unclear. Fashion teams then spend time fixing mismatches instead of publishing.

RAWSHOT keeps the garment as the brief and exposes production-grade controls for motion, framing, and style. Outputs are C2PA-signed, watermarked, and AI-labelled, and you get full commercial rights for permanent, worldwide use.

RAWSHOT produces C2PA-signed provenance metadata and multi-layer watermarking, including AI-labeling cues so your team can publish with clarity. This is not an afterthought; it’s part of the output pipeline.

For compliance context, RAWSHOT is aligned with EU AI Act Article 50 and California SB 942 requirements. You also receive a signed audit trail per output so you can trace what was generated for each reel asset.

Yes. RAWSHOT is designed for SKU consistency so you can save a model generation and reuse it across your entire catalog without drift between shoots.

That matters when you’re publishing multiple variants for the same collection, where customers notice changes in facial identity and presentation. RAWSHOT’s approach helps keep results aligned while you iterate styles and camera setups for each SKU.

Video pricing is transparent: about ~$0.22 per second of video, with generation typically around ~50–60 seconds per reel. Tokens never expire, and failed generations refund their tokens, which keeps budgeting stable.

You also get one-click cancel access on the pricing page, so teams can stop a run when creative direction changes. Video uses more tokens per second than stills, so clip length is the variable to manage.

Yes. RAWSHOT offers a REST API for catalog-scale workflows, while the browser GUI supports single shoots and quick creative iteration.

This lets engineering connect generation into your existing pipeline and run batch jobs without manual rework. You can keep consistent creative direction and model reuse while generating reels across large SKU lists.

Creative leads can direct scenes in the browser GUI, while operations teams can scale via the REST API for nightly or scheduled catalog outputs. Because the interface uses presets, sliders, and clicks, buyers and merchandisers can learn it quickly without becoming prompt operators.

Start by saving a model you want to reuse across a collection, then generate a first reel for one SKU to validate garment fidelity, labeling, and rights framing. Once the look is approved, you can roll the same scene logic across the rest of the catalog at consistent quality.