Direct your next drop’s product reel with the AI Outfit 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 scene control that stays anchored to the actual outfit details you provide, so your reel doesn’t drift between variants. Instead of hoping the model matches your product description, you direct camera motion, framing, lighting, and motion with app controls.

That means fewer rework cycles for apparel teams: cut, color, pattern, logo, fabric cues, drape, and proportion remain product-faithful from clip to clip, making approvals faster for campaign and catalog publishing.

Because reshoots are slow, expensive, and coordination-heavy—especially when you need the same look across many sizes and colors. With RAWSHOT, you keep a consistent setup and generate new reels from the same scene direction.

Your operations also benefit from labelled provenance and an audit trail per output, so publishing teams can approve video batches with clear accountability, not after-the-fact explanations.

You build the scene inside the browser with click-driven controls: choose framing (full body, close-up, half body), lighting, background, model action, and duration. The outfit stays the brief, so the clip reflects your garment inputs rather than a text-led interpretation.

Then you generate and iterate using the same controls, so variant batches stay consistent—ideal when you’re updating PDPs, lookbooks, and marketplace listings on a schedule.

Prompt-based workflows can mutate the garment, invent branding, and shift faces across generations, which creates catalog inconsistency. RAWSHOT replaces that volatility with repeatable UI controls and garment fidelity so your reels remain stable.

You also get C2PA-signed provenance, watermarking (visible plus cryptographic), and AI-labelled outputs, which helps teams keep a clean publishing record across large catalogs.

Every RAWSHOT output includes full commercial rights that are permanent and worldwide. That means your marketing team can use reels in campaigns and product presentations without scrambling for a separate rights process per file.

Provenance is also transparent: outputs include C2PA-signed metadata and watermarking cues, so compliance and brand teams can verify what was generated.

Confirm garment fidelity first: cut, color, pattern, logo cues, and drape should match the product inputs you provided. Then verify consistency of framing, lighting, and style presets across the batch for coherent publishing.

Finally, rely on the built-in provenance and labelling: C2PA-signed metadata and watermarking cues are attached to each output, and the per-image audit trail supports internal review.

Video is priced per second of video, at about ~$0.22 per second, and each generation typically completes in ~50–60 seconds depending on the clip setup. Tokens never expire, so you can run iterations when your schedule allows.

If a generation fails, your tokens are refunded, and you can cancel with one click from the pricing page—so your team can manage production without surprise lock-in costs.

Yes. RAWSHOT supports catalog-scale production through a REST API alongside a browser GUI for single-shot direction. That lets you integrate reel generation into your existing product workflow while keeping scene controls consistent.

For large SKU batches, the combination of stable configuration and labelled provenance helps teams maintain a reliable release process rather than manually rerunning experiments.

Any of them can own production, because the GUI supports real-time creative direction and the REST API supports batch workflows. Marketing teams can direct scenes with clicks, while ecommerce ops can run pipelines at catalog scale with reproducible settings.

Once you lock your controls and style presets, approvals are easier because each output includes a signed audit trail, watermarking cues, and the consistent product-led scene direction your stakeholders expect.