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Rawshot.ai

Campaign · Editorial lighting · 150+ style presets · 2K/4K options

Direct your next drop’s campaign with the AI Campaign Video Generator.

Generate on-model campaign reels by clicking settings—camera motion, framing, motion action, and lighting stay garment-faithful. No prompt box to learn. No studio days to schedule; just the garment, the controls, and the proof.

  • ~$0.22 per second of video
  • ~50–60s per generation
  • 9:16, 1:1, 4:5, 16:9
  • 150+ visual styles
  • 2K and 4K outputs
  • Full commercial rights, permanent, worldwide

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

Try it — every setting is a click
2:3 · 720p
1 scenes4s

Block the scene. Zero prompts.

This demo locks a campaign-friendly camera plan, applies an editorial lighting preset, and sets a simple garment interaction action. You only adjust scene controls with clicks and sliders—no text field required. ~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

Click-driven reels, built around the garment

Dial in camera motion, framing, and lighting with UI controls, then generate labelled campaign footage without prompt syntax or guesswork.

  1. Step 01

    Choose a campaign scene

    Select camera motion, framing, lighting, and background with click-driven controls. Pick a preset that matches your campaign mood, then lock the scene plan to the garment.

  2. Step 02

    Direct motion on-model

    Set the model action and duration, then adjust garment focus with the product-led composition controls. Every choice stays tied to your real design so the cut, color, pattern, and drape remain faithful.

  3. Step 03

    Generate with provenance

    Generate the reel, then verify the output’s C2PA-signed provenance and per-image audit trail cues. Download or send to your workflow with permanent worldwide commercial rights for every output.

Spec sheet

Proof of click control for campaign video

Twelve proof surfaces show what you can control, what stays faithful, and what ships with every reel—provenance, consistency, and rights.

  1. 01

    No-likeness by design

    RAWSHOT models are synthetic composites made from 28 body attributes with 10+ options each. That structure makes accidental real-person likeness statistically negligible by design, while you still get diverse on-model coverage.

  2. 02

    Every setting is a click

    You never open a prompt box. Camera, angle, distance, framing, pose, facial expression, product focus, and visual style are all UI controls—buttons, sliders, and presets—inside both GUI and API workflows.

  3. 03

    Garment fidelity stays intact

    Cut, color, pattern, logo, fabric character, and drape are represented faithfully. The garment is the brief, so your reel keeps the design details customers expect rather than drifting toward a generic interpretation.

  4. 04

    Synthetic models are transparently diverse

    Outputs use diverse synthetic models that are clearly labelled. You can pick different bodies and keep a consistent brand approach across multiple scenes without relying on real-person casting.

  5. 05

    SKU consistency without drift

    The same model and face can be reused across every SKU, so your campaign stays coherent from look to look. No retakes for minor updates, and no accidental re-interpretation between generations.

  6. 06

    150+ campaign-ready visual styles

    Choose from a large preset library, including catalog, lifestyle, editorial, campaign, street, Y2K, vintage, noir, and more. One interface gives you consistent style direction across reels and stills.

  7. 07

    2K/4K output and every ratio

    Generate video reels in common delivery formats with 2K and 4K options, plus every aspect ratio you need for publishing. Build for feeds, landing pages, and ads without re-planning your layout.

  8. 08

    Compliance built into the pipeline

    Every output is C2PA-signed with labelled AI provenance and supports EU AI Act Article 50 requirements. It also aligns with California SB 942, with EU-hosted delivery and privacy-aware controls.

  9. 09

    Per-image audit trail

    Each generation includes a signed audit trail per image, supporting transparent operational record-keeping. When teams review a reel for launch, they can confirm provenance and how it was produced.

  10. 10

    GUI and REST API for scale

    Use the browser GUI for single shoots and the REST API for catalog-scale pipelines. The same creative controls map across workflows so teams can scale without losing creative direction.

  11. 11

    Speed with clear token economics

    Video generations are priced per second, and video uses more tokens per second than stills. Tokens never expire, you can cancel in one click, and failed generations refund tokens.

  12. 12

    Full commercial rights, worldwide

    Every reel ships with full commercial rights, permanent, and worldwide. You can publish and iterate your campaign materials without getting stuck in unclear rights conversations.

Outputs

Campaign reels that stay consistent Direct, labelled, and ready to publish

See campaign-like motion, editorial lighting, and garment-faithful framing across formats—each output carries provenance and commercial rights.

Editorial campaign reel
Product-focused motion reel
Style preset campaign cut

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 UI controls camera, framing, motion, lighting, and style.

    Category tools + DIY

    Often rely on shorter controls that feel prompt-like or limited in direction. DIY prompting: Typed prompts require formatting and prompt iteration before anything usable.
  2. 02

    Garment fidelity

    RAWSHOT

    Cut, color, pattern, logo, fabric character, and drape stay faithful to the product.

    Category tools + DIY

    May bend design details toward a prompt interpretation rather than the garment. DIY prompting: DIY outputs can drift the garment between runs, especially across variants.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Same model and face can be reused across your catalog for coherent campaigns.

    Category tools + DIY

    Inconsistent outputs across generations can create face drift and retouch overhead. DIY prompting: DIY results often change faces and framing from one SKU to the next.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance with labelled AI output and per-image audit trail cues.

    Category tools + DIY

    Typically missing signed provenance and clear labelling for teams. DIY prompting: DIY workflows rarely include structured provenance metadata and audit trail records.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights, permanent, worldwide for every output.

    Category tools + DIY

    Rights terms may be unclear or require extra steps for commercial usage. DIY prompting: DIY tooling often leaves teams guessing about redistribution and publishing rights.
  6. 06

    Pricing transparency

    RAWSHOT

    Flat per-generation pricing with tokens that never expire and refunds on failures.

    Category tools + DIY

    Commonly uses per-seat gates or volume tiers that punish growth. DIY prompting: Costs come from trial-and-error generations with no stable per-asset plan.
  7. 07

    Catalog API

    RAWSHOT

    REST API supports batch generation while keeping the same UI control logic.

    Category tools + DIY

    APIs may be limited, inconsistent, or not aligned with garment-led controls. DIY prompting: Automating DIY prompt runs is brittle and hard to reproduce reliably.
  8. 08

    Iteration speed

    RAWSHOT

    Rapid scene iteration in the app GUI for single drops and API for pipelines.

    Category tools + DIY

    Slower iteration happens when controls are weaker and outputs require rework. DIY prompting: Prompt-engineering overhead delays usable results and increases rework loops.

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

Campaign teams building motion without reshoots

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

  1. 01

    Launch a new campaign look in one browsing session

    Pick an editorial lighting preset, set framing, and generate a reel that stays faithful to your exact design—no samples shipped across continents.

    Confidence · high

  2. 02

    Scale PDP media for seasonal updates

    Reuse the same model face across SKUs, then generate variant reels for colorways and fabric changes without drifting styles or details.

    Confidence · high

  3. 03

    Turn lookbook styling into platform-ready reels

    Select aspect ratios for your destinations and keep the same campaign mood across clips so your brand reads consistently across feeds.

    Confidence · high

  4. 04

    Keep influencer drops coherent across platforms

    Choose a consistent on-model presentation and generate motion clips that match your campaign art direction for each publishing format.

    Confidence · high

  5. 05

    Produce studio-style motion for clean storefronts

    Use controlled lighting and neutral backgrounds to keep product edges clear while adding subtle action for a more engaging listing experience.

    Confidence · high

  6. 06

    Create limited runs for on-demand designers

    Generate campaign reels directly from your garment specs so small teams can publish motion quickly without a studio calendar.

    Confidence · high

  7. 07

    Refresh resale catalogs with consistent presentation

    Generate labelled reels for previously photographed items while keeping garment-led fidelity and consistent model styling across your inventory.

    Confidence · high

  8. 08

    Coordinate multi-outfit motion for creative campaigns

    Build a scene plan once, then iterate across multiple compositions while preserving consistent framing, style, and model identity.

    Confidence · high

  9. 09

    Batch-generate reels from a catalog pipeline

    Use the REST API to run nightly batches across SKUs while keeping the same creative control structure as your browser GUI work.

    Confidence · high

  10. 10

    Prototype seasonal storytelling with visual styles

    Swap between catalog, street, vintage, noir, and editorial presets to test campaign directions while staying grounded in your garment details.

    Confidence · high

  11. 11

    Quality-check before publishing at scale

    Validate C2PA provenance and audit trail cues per output so your team can approve reels with confidence and consistent documentation.

    Confidence · high

  12. 12

    Keep licensing simple for marketing ops

    Publish with full commercial rights that are permanent and worldwide for every reel, reducing review time in your approval workflow.

    Confidence · high

— Principle

Honest is better than perfect.

RAWSHOT ships labelled outputs with C2PA-signed provenance and a signed audit trail per image, so campaign teams can document what was generated and how. This supports compliance expectations tied to EU AI Act Article 50 and California SB 942, with EU-hosted delivery and GDPR-aware practices.

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 campaign reel change for ecommerce teams?

You get on-model video content that stays tied to your actual garment details—so marketing can iterate creative direction without scheduling reshoots. Campaign teams can build multiple looks and variations while keeping a coherent presentation for each SKU.

With RAWSHOT you choose camera motion, framing, lighting, and style from an application-like interface. Every generation includes C2PA-signed provenance and a per-image audit trail cue so launches don’t become a provenance debate later.

Why not just reshoot every SKU update when the deadline is tight?

Because seasonal changes are constant, and reshooting every update pulls budgets and calendars into every iteration cycle. The operational cost isn’t just the day rate—it’s the coordination, samples, and downstream re-editing for storefront and campaign delivery.

RAWSHOT lets you reuse the same model face across SKUs and generate new reels from your garments with consistent direction. You can keep the campaign look steady while product content updates on-demand, with full commercial rights for every output.

How do we turn flat garments into campaign-ready reels inside the RAWSHOT app?

Start by selecting a scene: camera motion, framing, lighting, and background using click-driven controls. Then choose a model action and duration, and generate a reel built around your design details.

The output remains garment-faithful across cut, color, pattern, logo, fabric character, and drape. You can iterate quickly by adjusting those controls without redoing a prompt session, and you can verify provenance with C2PA-signing cues before publishing.

How is RAWSHOT different from ChatGPT, Midjourney, or generic image models for product video?

RAWSHOT is built for garment-led fashion production, not prompt roulette. You control the creative decisions through structured UI settings, so your results are more consistent and aligned with real product details.

Generic tools often drift garments between attempts, invent branding, and produce inconsistent faces across variants. RAWSHOT also provides labelled outputs and a signed audit trail per image, plus permanent worldwide commercial rights for every reel.

Do labelled AI outputs and watermarking affect commercial usage for marketing?

No—you can publish commercially with confidence because each output comes with full commercial rights that are permanent and worldwide. Labelling and provenance are there to keep your team compliant and transparent, not to restrict usage.

RAWSHOT uses C2PA-signed provenance and multi-layer watermarking (visible and cryptographic) so marketing operations can maintain a clean documentation trail. That makes approvals faster when legal, brand, and compliance stakeholders ask for proof.

What should we QA before approving a campaign reel for launch?

Confirm garment fidelity, model presentation, and that the reel matches your planned framing and style. Then check the output’s provenance signalling and per-image audit trail cues before you export to your publishing pipeline.

RAWSHOT keeps creative direction tied to the garment so cut, color, pattern, logo, fabric character, and drape don’t get replaced by an interpretation. You also get clear labelling and C2PA signatures to support internal review and external audits.

How do video token costs work if we’re generating many campaign variants?

Video cost is priced per second, and longer clips consume more tokens per second than stills. That means teams should plan clip length per channel while keeping the rest of the scene direction controlled.

Tokens never expire, you can cancel in one click, and failed generations refund their tokens. If you need multiple looks, you can iterate scene controls quickly while maintaining a stable pricing model per reel workload.

Can we integrate campaign reel generation into our existing catalog workflow via API?

Yes. RAWSHOT offers a REST API that supports catalog-scale pipelines and keeps creative control aligned with the same UI logic you use in the browser.

This is useful when your team wants consistent generation across many SKUs and variants without manual reruns. You can also maintain an operational record by relying on the C2PA signing and per-image audit trail cues that ship with each output.

How do we scale this from one editor to a full marketing ops pipeline?

Use the browser GUI for quick creative direction, then switch to REST API batch generation for daily or nightly throughput. That keeps your campaign workflow consistent while letting different roles contribute without rewriting creative briefs.

Teams can reuse the same model face across SKUs, maintaining catalog coherence while reducing the risk of face drift and scene inconsistency. With permanent worldwide commercial rights on every output, approvals stay straightforward as volume grows.