Direct scroll-stopping fashion reels with the AI Story Post Generator—directed by clicks, not 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 hallucinated garment inventions.

You stop treating product video like a risky experiment and start treating it like a controlled production pass. With RAWSHOT you select framing, lighting, background, and motion from preset controls, so your garment stays the brief while your reel stays on-brand.

That matters when you publish across many aspect ratios and need consistent visual rhythm. Teams can generate reels quickly per variant, keep provenance with C2PA-signed outputs, and reuse saved model settings to reduce rework.

Reshooting is slow, expensive, and hard to coordinate across locations and staff. When you update a catalog, you need consistent product presentation without shipping samples or waiting on studio calendars.

RAWSHOT builds motion reels from the garment itself with click-based controls and repeatable settings. The result is a cleaner pipeline for seasonal refreshes because your teams can generate variants using the same controlled scene logic and labeled provenance.

Start by selecting your scene presets and product placement cues in the browser UI. Then adjust camera motion, framing, lighting, background, and model action using the interface controls until the story timing matches your brand.

Finally, generate and export reels with C2PA-signed provenance, watermarking cues, and AI labeling. This keeps approvals predictable for marketing and ecommerce teams who need assets that are ready to publish.

DIY prompting often causes garment drift, invented branding, and inconsistent faces across outputs, which creates expensive downstream cleanup. Garment-led control in RAWSHOT keeps cut, color, pattern, logo, fabric, and drape faithful, so reels align with your actual product.

You also get SKU consistency by saving and reusing a model across generations. That makes it practical to maintain a stable visual identity across your catalog without prompt roulette.

RAWSHOT outputs are C2PA-signed and AI-labelled, with visible + cryptographic watermarking and a signed audit trail per image. That means your marketing workflow includes provenance rather than treating it as an after-the-fact disclosure.

For commercial teams, RAWSHOT includes full commercial rights to every output, permanent and worldwide. When you build reels for social, product pages, and campaigns, your rights and labeling story stays consistent across releases.

Verify garment fidelity first: confirm cut, color, logo, pattern, and drape match the product you intend to sell. Then check model and framing consistency so your story assets look coherent across the campaign or catalog batch.

Before publishing, ensure the output carries the expected labeling cues and signed provenance metadata. With RAWSHOT, you also have auditability via signed audit trails per image, which helps internal QA teams standardize approvals.

Video pricing is based on seconds, and generation typically runs around 50–60 seconds per reel. Tokens never expire, and you can cancel with one click from the pricing page if you need to stop a run.

Failed generations refund tokens, which makes iteration safer for creative teams. If you plan weekly batches, base your schedule on clip length and per-second pricing so production stays predictable.

Yes. RAWSHOT supports a REST API for catalog-scale pipelines, while the browser GUI covers single-shoot work for designers and editors.

That separation lets ecommerce teams run automated reel generation nightly while creative teams iterate interactively when they need adjustments. You keep the same garment-faithful control model across both surfaces, and you retain labeled provenance in the outputs.

Assign creative direction to the people who choose visual style, framing, and story pacing, then let operations run batch generation at scale. In practice, designers can lock in a look with presets and saved model settings while catalog teams handle REST API workflows.

This division reduces bottlenecks because the interface controls stay consistent across GUI and API. It also keeps rights, provenance, and auditability uniform across every SKU-level reel your team publishes.