Next live webinar: See Rawshot in Action: Live AI Fashion Photoshoot Demo
Rawshot.ai

Product video · 9:16-ready · 4–6s clips

Direct your next product reel with the AI Ecommerce Product Video Generator—click-driven, garment-faithful video scenes with zero prompting.

Generate on-model motion that matches the exact garment you upload. You direct the shot with buttons and sliders for camera motion, framing, lighting, and background—no prompt syntax to manage. No studio scheduling, no sample shipping, no prompting box to babysit.

  • ~$0.22 per second of video
  • ~50–60 seconds per generation
  • 9:16, 1:1, 4:5, 16:9
  • 150+ visual styles
  • C2PA-signed, watermarked outputs
  • Full commercial rights, permanent, worldwide

7-day free trial • 50 tokens (10 images) • Cancel anytime

Try it — every setting is a click
9:16 · 720p
1 scenes4s

Block the scene. Zero prompts.

You keep the garment as the brief, then dial in motion with fixed camera and action controls. This demo locks the scene builder values so you can regenerate the same reel style on demand. ~4s clip · locked camera

  • 6 clicks · 0 keystrokes
  • app.rawshot.ai / build_scene
Video Builder
app.rawshot.ai / build_scene
Shot count
Framing
Duration (sec)
34s10
Lighting
Background
Resolution
Aspect ratio
Model action
Camera motion
1 scenes · 4s · Static locked
Generate reel

How it works

Build fashion motion with click-driven controls

Lock the camera, pick motion and framing, then generate reels that stay garment-faithful across variants—no prompt syntax to manage.

  1. Step 01

    Choose the garment-led scene

    Upload the garment and select your reel framing. Every setting stays connected to the product you’re photographing, not a freeform text request.

  2. Step 02

    Direct motion with controls

    Click camera motion, model action, lighting, and background presets. Adjust the look with visual style options—no prompt work anywhere in the flow.

  3. Step 03

    Generate, label, and publish

    Produce your clip, keep the provenance metadata, and export with clear commercial-rights language. Repeat variations fast while keeping the same catalog intent.

Spec sheet

Twelve proof surfaces for product reels

A single engine validates fidelity, consistency, compliance, and publishing readiness—from first click to signed provenance metadata.

  1. 01

    Synthetic model, no accidental likeness

    The model is assembled from labeled synthetic body attributes (28 attributes with 10+ options each), making real-person likeness statistically negligible by design.

  2. 02

    Every creative decision is a click

    You direct the reel through buttons, sliders, and presets for camera, angle, distance, pose/action, expression, and style—no prompting anywhere in the workflow.

  3. 03

    Garment fidelity stays on brief

    Cut, color, pattern, logo placement, and fabric drape are represented faithfully. The garment is the brief, so the reel doesn’t drift into a generic look.

  4. 04

    Diverse labeled synthetic models

    Choose from diverse synthetic models transparently labeled in the output. You get variety for fashion teams without hiding what was generated.

  5. 05

    No drift across SKU variations

    Save the same model setup and reuse it across your catalog. Keep the face and body consistent so season updates don’t require re-approving “close enough.”

  6. 06

    150+ visual styles, reel-ready

    Select from catalog, lifestyle, editorial, campaign, street, Y2K, vintage, noir, and more. Styles carry through motion so your reels match your brand grid.

  7. 07

    2K/4K with every aspect ratio

    Generate in 2K and 4K options and any required aspect ratio for platform publishing. Frame the product with full-body, half-body, close-up, and detail views.

  8. 08

    Compliance and labeling by design

    Outputs include C2PA-signed provenance metadata plus AI labelling aligned with EU AI Act Article 50 and California SB 942. Honesty is built into the export.

  9. 09

    Signed audit trail per image

    Each output includes a signed audit trail so teams can verify generation provenance. This supports internal QA and predictable publishing workflows.

  10. 10

    GUI for shoots, REST API for scale

    Use the browser GUI for single reels, then run catalog-scale generation through the REST API. Same engine, same outputs—built for pipelines.

  11. 11

    Fast reels with transparent token pricing

    Create reels in roughly 50–60 seconds per generation. Pricing is clear: ~$0.22 per second of video, with tokens that never expire and one-click cancel.

  12. 12

    Full commercial rights, permanent worldwide

    Export with full commercial rights to every output, permanent, worldwide. Keep your rights story clean for PDPs, ads, and production workflows.

Outputs

Reel outputs that match your catalog intent Click to motion

See garment-faithful video scenes with consistent styling, labeled provenance, and publishing-ready framing across common aspect ratios.

Urban product motion
Studio packshot reel
Editorial style close-up

Browse 150+ visual styles →

Comparison

RAWSHOT vs category tools vs DIY prompting

Three lenses on every dimension — what you optimize for in RAWSHOT versus typical category tools and blank-box AI workflows.

  1. 01

    Interface

    RAWSHOT

    Click-driven reel controls for motion, framing, lighting, and style.

    Category tools + DIY

    Shorter controls with less direct scene direction; often chatbot-like input. DIY prompting: Typed prompts to steer camera and action, plus extra iteration to fix drift.
  2. 02

    Garment fidelity

    RAWSHOT

    Garment-led generation keeps cut, color, pattern, and drape faithful.

    Category tools + DIY

    Prompt-tuned imagery can mutate product details. DIY prompting: DIY models often reinterpret garments into altered silhouettes or textures.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Reuse the same saved model setup so reels stay consistent between SKUs.

    Category tools + DIY

    May change faces and bodies across runs without stable catalog settings. DIY prompting: Inconsistent outputs lead to mismatched faces across product variants.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance and AI labelling ship with the output.

    Category tools + DIY

    Often no signed provenance, weak or missing labeling story. DIY prompting: No reliable audit trail or cryptographic record for internal publishing QA.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights to every output, permanent and worldwide.

    Category tools + DIY

    Rights can be unclear, inconsistent, or gated by tool terms. DIY prompting: DIY workflows rarely give a clean, team-ready rights narrative.
  6. 06

    Iteration speed per variant

    RAWSHOT

    Regenerate with the same controls for variant reels in one flow.

    Category tools + DIY

    Re-tuning inputs per variant can be slower and less repeatable. DIY prompting: Prompt-engineering overhead grows as you chase consistency.
  7. 07

    Pricing transparency

    RAWSHOT

    Flat, per-output video pricing with token rules you can plan around.

    Category tools + DIY

    Per-seat pricing and volume tiers that punish growth are common. DIY prompting: Token and cost predictability drops when you iterate on prompts repeatedly.
  8. 08

    Catalog API

    RAWSHOT

    REST API enables batch reel pipelines for ecommerce teams.

    Category tools + DIY

    API stories are often incomplete or require workarounds for scale. DIY prompting: DIY prompting doesn’t map cleanly to SKU-scale reproducible pipelines.

Prompting does not scale

Stop writing essays. Direct the shoot.

Most AI photo tools start with a blank text box. Rawshot turns the shoot into repeatable controls, so creative teams can produce consistent fashion imagery without prompt syntax or one-off hacks.

Category norm

Manual
Prompt box

Create a premium editorial fashion photograph of a model wearing the exact navy oversized wool coat from SKU-1842, full-body crop, realistic hands, consistent facial identity, clean e-commerce lighting, subtle Paris street background, 85mm lens, no logo distortion, no fabric hallucination, same pose as last campaign, repeatable for all colorways...

Needs prompt engineering
Breaks across SKUs
Hard to repeat

A prompt can describe one image. It cannot become a shared production system for hundreds of products, models, angles and markets.

Rawshot

Clicks

Saved shoot recipe

Apply to 1 SKU or 10,000 via GUI, CSV or REST API.

Scale
Preset-driven shoots anyone can repeat
Same model, pose and styling across a catalog
GUI for teams, API for production volume

Rawshot makes creative direction visible: buttons, presets and sliders instead of hidden prompt craft. The result is easier to teach, faster to approve and built for repeat production.

Use cases

Reels for every operator, from one SKU to catalogs

Operator archetypes and how click-directed, garment-first output fits the way they actually work.

  1. 01

    Indie designer launching a drop

    Build motion reels in your browser, keep brand styling consistent, and ship ads without reshoots.

    Confidence · high

  2. 02

    DTC brand updating weekly PDPs

    Generate multiple reel variations per product while maintaining garment fidelity across changes.

    Confidence · high

  3. 03

    Crowdfunding creator showing the story

    Turn one on-model scene into platform-ready clips that stay anchored to your exact garment.

    Confidence · high

  4. 04

    Kidswear label matching sizes and looks

    Produce consistent reel framing for product lines so catalog tiles and motion stay aligned.

    Confidence · high

  5. 05

    Adaptive fashion line communicating function

    Show garment details clearly in motion while keeping visuals consistent for buying confidence.

    Confidence · high

  6. 06

    Lingerie DTC building campaign assets

    Select editorial or studio style presets and generate reels that keep pattern and logo placement faithful.

    Confidence · high

  7. 07

    Resale and vintage seller rebranding listings

    Regenerate reels for re-posted items with consistent model setup to reduce per-listing retakes.

    Confidence · high

  8. 08

    Marketplace seller scaling storefront visuals

    Use the REST API for SKU batches so each new listing ships with the same reel language.

    Confidence · high

  9. 09

    Factory-direct manufacturer onboarding partners

    Ship on-brand motion assets to ecommerce partners without studio days or negotiated prompt workflows.

    Confidence · high

  10. 10

    Makers and students learning production

    Practice art direction through controls and presets, then export labeled reels for portfolio use.

    Confidence · high

  11. 11

    Influencer ops for consistent platform crops

    Generate clips in the aspect ratios your channels need while keeping your garment presentation stable.

    Confidence · high

  12. 12

    Catalog team running nightly pipeline

    Create repeatable, labeled reel outputs at catalog scale with GUI and REST API under one system.

    Confidence · high

— Principle

Honest is better than perfect.

Every reel export carries C2PA-signed provenance and AI labelling aligned with EU AI Act Article 50 and California SB 942. That means your ecommerce team can publish with transparency, not guesswork—plus you get a signed audit trail per image for internal QA.

RAWSHOT · Editorial

Rights & provenance

Full commercial rights. Forever.

  • C2PA-signed on every image — EU AI Act Article 50 compliant
  • 28-attribute synthetic models — real-person likeness statistically impossible
  • Full commercial rights to every generation — no recurring licensing fees
  • Tokens never expire · One-click cancel · Transparent pricing

EU AI Act

C2PA

Commercial use

Pricing

~$0.22 per second of video.

~50–60 seconds per generation. Tokens never expire. Cancel in one click.

  • 01Video uses more tokens per second than stills — longer clips cost more.
  • 02The cancel button is on the pricing page.
  • 03No per-seat gates. No 'contact sales' walls for core features.
  • 04Failed generations refund their tokens.

FAQ

Practical answers on control, rights, pricing, scale, and compliant publishing.

Do I need to write prompts to use RAWSHOT?

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.

What does an AI-assisted fashion motion workflow change for ecommerce product pages?

You stop treating video as a studio-only milestone. With RAWSHOT you generate on-model reels directly from your garment and publish-ready scenes for PDPs, ads, and product carousels—without reshooting every variant when your season or colorway changes.

Instead of prompt roulette, you click camera motion, model action, lighting, background, framing, and a visual style preset. The result is motion that stays anchored to your product details and is labeled for provenance, so your team can QA and ship consistently.

Why skip reshooting every SKU for season updates?

Because SKU updates are constant and studios are slow. RAWSHOT gives you a repeatable reel pipeline that preserves garment-led fidelity and keeps outputs consistent across your catalog so you can refresh visuals without booking days of production.

You also avoid the usual failure modes from DIY generation: garment drift, invented logos, and inconsistent faces across outputs. RAWSHOT keeps the garment as the brief and ties creative controls to a stable generation setup you can reuse.

How do we turn flat garments into catalogue-ready motion reels without prompting?

Upload the garment and build the scene with controls for framing, camera motion, lighting, background, and motion action. Then select a visual style preset that matches your catalog language so the reel looks like it belongs with your existing product system.

In practice, you’re clicking through an application flow: choose how much of the body to show, lock or move the camera, pick a lighting system, and set duration and aspect ratio. The output includes signed provenance metadata and clear labeling so it’s ready for ecommerce publishing.

How does garment-led control beat DIY prompting for fashion PDP videos?

Garment-led control keeps the product faithful while DIY prompting often rewrites the garment around the text. That shows up as silhouette changes, pattern drift, or incorrect branding—especially when you need the same look across many SKUs.

RAWSHOT makes each creative decision a deterministic UI control, then carries it through generation. You get C2PA-signed provenance, a signed audit trail, and full commercial rights for publishing, which is the operational difference between “cool output” and repeatable ecommerce assets.

Where do the rights and labeling details show up for RAWSHOT outputs?

Your outputs come with clear commercial-rights language and provenance metadata so your team can publish with confidence. RAWSHOT exports include C2PA-signed records and AI labelling aligned with EU AI Act Article 50 and California SB 942, which supports internal compliance workflows.

It’s not buried in a legal scavenger hunt; it’s part of how the output is delivered. That makes approvals faster for marketing, legal, and product teams that need a reliable, team-ready story.

What should our QA checklist look like before we publish new product reels?

Start with garment fidelity: verify cut, color, pattern, and logo placement on the reel frames. Then check model consistency for the SKU set you’re updating, and confirm the aspect ratio and framing match where the video will be used on your site or marketplace.

Finally, confirm provenance and labeling cues are present with each export and that the clip aligns with your selected visual style preset. RAWSHOT’s signed audit trail and C2PA metadata make this QA step auditable rather than subjective.

How should we budget video generation costs versus still images for ecommerce?

Budget video separately because video uses more tokens per second than stills. RAWSHOT pricing for video is transparent at roughly ~$0.22 per second, with a typical generation time of about ~50–60 seconds per reel.

Tokens never expire, and you can cancel in one click on the pricing page. If a generation fails, tokens refund automatically, so you can run experiments and catalog batches without silent cost surprises.

Can we generate product reels through an API for catalog-scale pipelines?

Yes. RAWSHOT provides a REST API for catalog-scale reel generation while keeping the same garment-led engine you use in the browser GUI.

That means you can batch SKU requests, keep creative intent consistent, and integrate generation into existing workflows like merchandising releases or nightly update cycles. Your motion controls remain the same conceptually—click-driven scene settings—just executed at scale.

If we run nightly catalog updates, how do we keep the look consistent across teams and roles?

Standardize on RAWSHOT controls and saved generation setups, then run the same parameters through either the GUI or REST API. That keeps creative direction consistent between operators like designers, catalog managers, and ecommerce production teams.

Because the outputs carry signed provenance and clear labeling, QA and approvals become repeatable. The end result is less rework, fewer mismatched visuals, and a clean commercial-rights story for every reel your catalog ships.