Direct your next drop with the AI Watch Video Generator, click by click.

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 can produce on-model reels at catalog scale. Instead of coordinating studio time for every seasonal variant, you generate motion scenes from garment-led controls and keep output structure consistent across SKUs.

With RAWSHOT, the reel direction is built from fixed UI options—camera motion, framing, lighting, and background—so iteration stays predictable. Each output includes C2PA-signed provenance metadata plus visible and cryptographic watermarking cues, which helps publishing QA and approvals.

Because motion assets are rarely “one and done.” Campaign refreshes and PDP updates happen continuously, and reshoots create recurring delays, sample logistics, and inconsistent presentation between sets.

RAWSHOT lets you keep the same presentation model and visual direction while swapping garment choices. You can generate reels with 2K/4K-ready output and publish with clear commercial rights and a signed audit trail per image.

You start by selecting reel settings as UI controls—camera motion, model action, framing, lighting, and background—then generate. Your garment settings remain the brief, so cut, colour, pattern, logo, fabric look, and drape guide the result.

That workflow avoids prompt-based drift. It also keeps your controls reproducible across a single shoot in the browser GUI and a batch pipeline through the REST API for scale.

Prompt roulette can’t guarantee that the garment stays the same from one generation to the next. You often end up repairing drift, fixing invented logo details, or reworking framing until it matches the product you’re selling.

RAWSHOT’s garment-led scene builder ties visual output to the real garment parameters and your chosen controls, reducing variant churn. Outputs also come with provenance metadata and labelling cues plus watermarking, so teams can move faster with fewer publishing surprises.

Yes. RAWSHOT outputs carry C2PA-signed provenance metadata and watermarking cues that help downstream teams understand what they’re publishing.

That labelled, auditable approach supports EU AI Act Article 50 and California SB 942 expectations. In practice, it gives your QA and legal workflows a consistent, verifiable paper trail per image rather than an unclear asset origin.

Run checks focused on commerce-critical fidelity. Verify garment details (cut, colour, pattern, logo placement, and drape), confirm your chosen framing and lighting look correct for the target channel, and make sure the output’s provenance metadata matches your internal review needs.

Because the reel settings are selected via fixed controls, you can reproduce direction for approvals and resubmissions. Also confirm watermarking cues are present for your brand’s publication standards before you schedule releases.

Video pricing is per second of video and video consumes more tokens per second than stills. The reel workflow typically lands around the same generation window, and tokens never expire.

If a generation fails, RAWSHOT refunds tokens for that attempt. The pricing page also includes a one-click cancel flow, so cost controls stay straightforward for teams running frequent variant tests.

You can integrate for catalog-scale workflows using RAWSHOT’s REST API. Generate reels in batches while keeping consistent presentation settings and garment-led fidelity.

That helps when you run many SKUs nightly and need predictable mapping from your product data to reel outputs. It also keeps a signed audit trail per output, which supports publishing operations that require traceability.

Start with the browser GUI for one or two hero looks, then scale the same direction through the REST API for the rest of the catalog. Because the controls are structured and repeatable, your reels stay consistent across large runs.

Operationally, you can assign roles by task: creative teams direct motion and visual styles in the GUI, then pipeline teams trigger catalog batch jobs for each SKU set. The result is faster throughput with consistent outputs and clear provenance plus watermarking cues per reel.