Direct your next drop with the AI 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 changes who gets to use motion in the first place. Instead of treating product video as something reserved for large studio budgets, a click-driven system lets smaller brands, DTC operators, and catalog teams produce on-model reels around real garments with predictable controls and transparent output labelling. That means motion stops being a special project and starts becoming a normal part of merchandising, launch planning, and paid social production.

In RAWSHOT, the operational shift is practical: you select framing, camera motion, model action, lighting, background, duration, and aspect ratio in the browser or through the REST API. Video runs at about $0.22 per second, generations usually take 50–60 seconds, tokens never expire, and failed generations refund their tokens. For commerce teams, the takeaway is simple: plan video as repeatable product infrastructure, not as an occasional high-friction event.

Because most seasonal changes do not require rebuilding the entire production chain from zero. Brands often need a new ratio, a different pacing choice, a cleaner studio background, or a tighter framing for a paid placement rather than a full new shoot day. When each change depends on samples, crew, booking windows, and shipping, motion stays scarce and updates arrive too late to help the commercial moment they were meant to support.

RAWSHOT lets teams keep the garment at the center while changing the scene logic around it through controls and presets. You can direct a new aspect ratio, duration, visual style, or motion pattern without turning the workflow into manual prompt experimentation. For operators managing many SKUs and many deadlines, the practical move is to reserve physical shoots for the moments that need them and use RAWSHOT for the large layer of fashion video work that otherwise would not get made.

You start with the product, choose the model and scene setup, then direct the clip with controls for framing, lighting, movement, background, duration, and channel ratio. That matters because catalog teams need a repeatable sequence of decisions, not a creative writing exercise. The point is not merely to make a video file; it is to produce motion that stays faithful to the garment and can be reviewed by merchandising, brand, and commerce stakeholders without ambiguity about how it was made.

RAWSHOT supports single-shoot work in the browser GUI and larger pipelines through the REST API, so the same operational logic can move from one hero SKU to an entire product set. Outputs are AI-labelled, carry provenance and watermarking measures, and come with permanent worldwide commercial rights. The best practice is to standardize your framing, style, and aspect-ratio rules once, then reuse them across categories instead of improvising every reel from scratch.

Because product detail is the job, not a side effect. Generic tools are good at broad visual invention, but fashion commerce depends on stable representation of cut, colour, pattern, proportion, logo, and drape from one asset to the next. Once you need repeatable model consistency, dependable merchandising formats, and a reviewable path from input to output, generic chat and image systems tend to push teams into prompt roulette, output drift, and avoidable rework.

RAWSHOT was built as a fashion application, so the controls match the real decisions teams make: choose the camera behavior, model action, shot framing, light, background, duration, and output format, then generate. That sits alongside C2PA-aligned provenance signalling, visible and cryptographic watermarking, clear commercial rights, and API-ready scale. For PDP motion, the operational advantage is straightforward: fewer invented details, less manual cleanup, and a workflow buyers and brand teams can actually standardize.

Yes. RAWSHOT outputs are transparently AI-labelled, include multi-layer watermarking, and are designed around provenance and auditability rather than concealment. That matters for any brand publishing motion across product pages, paid ads, social placements, and marketplaces, because trust is not only about how the asset looks; it is also about whether your team can show what it is and how it should be handled in review and distribution.

Commercially, every output comes with full rights that are permanent and worldwide, which removes a major source of uncertainty for smaller operators and larger teams alike. RAWSHOT is EU-built, GDPR-compliant, and built for the compliance direction of EU AI Act Article 50 and California SB 942. The practical takeaway is to treat labelled motion as a brand standard, not a limitation: publish with clear internal governance, keep the provenance record attached, and avoid untraceable asset workflows.

Check the garment first, then the governance layer. Review cut, colour, pattern, logo placement, drape, and proportion against the actual product, because commerce performance collapses when the item shown is not the item delivered. After that, confirm the framing, pacing, and aspect ratio fit the destination channel, and make sure the output is clearly handled as labelled synthetic content inside your content operations.

With RAWSHOT, teams should also preserve the provenance and watermarking signals, confirm the asset sits inside the intended style system, and verify the selected synthetic model and scene logic remain consistent with the rest of the collection. Because failed generations refund tokens and tokens never expire, there is no reason to publish a clip that only feels almost right. The correct workflow is disciplined review: approve only what is garment-faithful, channel-fit, and transparently labelled for downstream use.

RAWSHOT video is priced at about $0.22 per second, and most generations complete in roughly 50–60 seconds. That gives teams a clear planning model: longer clips use more tokens per second than stills, so cost rises with duration rather than being hidden inside vague package tiers. For operators balancing test budgets, launch calendars, and many SKUs, predictable token economics matter more than headline discounts that become murky once you actually try to scale usage.

The policy side is equally straightforward. Tokens never expire, the cancel button is on the pricing page, there are no per-seat gates for core features, and failed generations refund their tokens. That combination makes it easier to experiment responsibly, because the financial model does not punish teams for learning the right visual system. In practice, you should budget by clip length and publishing volume, then standardize durations by channel so planning stays clean.

Yes. RAWSHOT supports a browser GUI for single-shoot work and a REST API for catalog-scale workflows, so brands can start with one launch reel and expand into batch production without switching platforms. That matters for Shopify teams, marketplace operators, and manufacturers because the real bottleneck is not only generation itself; it is keeping asset creation, approval, and publishing logic stable while SKU counts grow.

The same principles that work in the interface also translate into API-driven operations: consistent models, repeatable scene settings, channel-specific ratios, and auditable output handling. Because the platform is built around garments rather than generic chat input, teams can design reusable production patterns instead of endlessly reinterpreting text instructions. The practical move is to define a few approved video templates by category, then connect those patterns to your catalog flow so motion becomes part of normal product operations.

Yes, and that is a core part of the product logic. RAWSHOT is built for one shoot or ten thousand, using the same engine, the same models, the same per-image or per-second economics, and the same output quality rather than splitting serious scale behind a separate edition. That matters because most fashion businesses do not live at only one level of complexity; a brand team may need hands-on control for a campaign hero while the catalog side needs repeatable volume overnight.

In practice, the browser GUI serves creative direction, reviews, and one-off launch work, while the REST API serves larger batch pipelines and system-to-system operations. There are no per-seat gates and no contact-sales wall for core functionality, so smaller operators and larger commerce teams are not forced into different products just because their volumes differ. The operational takeaway is to treat RAWSHOT as shared infrastructure: creative and catalog can work differently without drifting apart.