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Rawshot.ai

Product video · Campaign reels · 4s

Direct your next drop's campaign with the AI Video Trailer Generator

Generate campaign-ready fashion reels built around the garment, not a text box. Click camera motion, framing, lighting, background, duration, and aspect ratio in a real interface for commerce teams. No studio. No samples. No prompts.

  • ~$0.22 per second
  • ~50–60s per generation
  • 150+ styles
  • 9:16, 1:1, 4:5, 16:9
  • 720p or 1080p
  • Full commercial rights

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.

Preset a 4-second full-body campaign reel with a locked camera, studio softbox light, and a clean seamless backdrop. The setup fits launch trailers where the garment needs to stay readable across every frame. ~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 Trailer Reels by Click

From a four-second launch clip to a repeatable catalog motion workflow, every creative decision stays in controls your team can actually use.

  1. Step 01

    Choose the Reel Structure

    Select duration, framing, aspect ratio, and shot count for the trailer format you need. Start from a clean scene block instead of a blank text field.

  2. Step 02

    Direct the Garment on Screen

    Adjust camera motion, model action, lighting, background, and visual style with clicks. The product stays central while you shape how the reel feels for launch, social, or PDP use.

  3. Step 03

    Generate and Publish

    Create the clip, review labelled output, and export with full commercial rights. Repeat the same setup across a full range in the browser or run it at catalog scale through the API.

Spec sheet

Proof for Fashion Video at Launch Speed

These twelve surfaces show why garment-led reels need more than a generic generator and more than typed trial and error.

  1. 01

    No-Likeness by Design

    Every synthetic model is built from 28 body attributes with 10+ options each. Accidental real-person likeness is statistically negligible by design.

  2. 02

    Every Setting Is a Click

    Camera motion, framing, lighting, background, expression, and style live in buttons, sliders, and presets. You direct the reel in an application, not a chat thread.

  3. 03

    The Garment Stays the Brief

    Cut, colour, pattern, logo, fabric, and drape are represented faithfully across frames. RAWSHOT is engineered around the product, so the clip serves the garment instead of bending it.

  4. 04

    Diverse Synthetic Models

    Use transparently labelled synthetic models built for fashion commerce. You get broad casting options without relying on real-person likeness.

  5. 05

    Same Model Across Every SKU

    Keep the same face and body through a full range so trailer variants stay consistent. No drift between products, drops, or follow-up reels.

  6. 06

    150+ Visual Styles

    Move from clean catalog motion to editorial campaign energy with presets for studio, lifestyle, street, vintage, noir, and more. Style changes do not require rebuilding the workflow.

  7. 07

    Built for Every Format

    Generate imagery in 2K or 4K still workflows and adapt motion outputs for the aspect ratios your channels need. Launch pages, paid social, and marketplace placements can share one visual system.

  8. 08

    Labelled and Compliant

    Outputs are C2PA-signed, AI-labelled, and watermarked with visible and cryptographic layers. RAWSHOT is built for EU AI Act Article 50, California SB 942, and GDPR-aligned operation.

  9. 09

    Signed Audit Trail per Image

    Each output carries a signed record for traceability. That matters when campaign teams, legal, and marketplace operators need to verify where an asset came from.

  10. 10

    GUI for One Shoot, API for Scale

    Use the browser for a single launch reel or connect the REST API for catalog-scale automation. The indie team and the enterprise workflow use the same core product.

  11. 11

    Fast, Flat Video Economics

    Photo generations start around ~$0.55 per image with tokens that never expire, while video pricing stays transparent by duration. Failed generations refund tokens, so iteration stays operationally clean.

  12. 12

    Commercial Rights Included

    Every output comes with full commercial rights, permanent and worldwide. You publish campaigns, PDP motion, and paid creative without rights ambiguity.

Outputs

Trailer Outputs, Ready to Publish

See short fashion reels shaped for launch moments, PDP motion, and platform-native campaign cuts. The interface stays the same while format, mood, and channel change.

Launch teaser · 9:16
PDP motion clip · 1:1
Campaign cutdown · 16:9

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 controls for scene, motion, framing, light, and format

    Category tools + DIY

    Partial controls with shallower direction and less precise workflow structure. DIY prompting: Typed instructions, revision loops, and prompt-engineering overhead before useful output
  2. 02

    Garment fidelity

    RAWSHOT

    Garment-led generation built to preserve cut, colour, logos, and drape

    Category tools + DIY

    More style-first output with weaker product accuracy under variation. DIY prompting: Garment drift and invented logos appear across versions and frames
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Same model can stay locked across a full catalog or campaign set

    Category tools + DIY

    Consistency varies and often weakens over larger product runs. DIY prompting: Faces change between outputs, so catalog continuity breaks quickly
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed, AI-labelled, visibly and cryptographically watermarked outputs

    Category tools + DIY

    Often limited or absent provenance signalling for downstream publishing. DIY prompting: Missing provenance metadata, no clean labelling, and no audit record
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights on every output, permanent and worldwide

    Category tools + DIY

    Rights terms can be narrower or less operationally clear. DIY prompting: Unclear rights story for teams publishing across paid and owned channels
  6. 06

    Pricing transparency

    RAWSHOT

    Flat token pricing, no per-seat gates, no volume tier punishment

    Category tools + DIY

    Per-seat pricing and growth tiers can complicate scaling. DIY prompting: Model access may look cheap first, but iteration time is unpredictable
  7. 07

    Iteration speed per variant

    RAWSHOT

    Repeatable scene blocks make new trailer variants operationally fast

    Category tools + DIY

    Some speed gains, but controls and consistency still bottleneck review. DIY prompting: Each new variant means another rewrite cycle with uncertain reproducibility
  8. 08

    Catalog API

    RAWSHOT

    Browser GUI and REST API share the same engine and outputs

    Category tools + DIY

    API access may sit behind higher plans or sales processes. DIY prompting: No catalog-safe API workflow for repeatable garment production

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

Where Fashion Teams Need Short-Form Motion

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

  1. 01

    Indie brand launch teasers

    Build short drop trailers for a new collection when the budget never stretched to a full campaign shoot.

    Confidence · high

  2. 02

    DTC paid social teams

    Produce repeatable reels for prospecting and retargeting while keeping the same model, framing logic, and garment clarity.

    Confidence · high

  3. 03

    Crowdfunding campaign pages

    Show concept garments in motion before production scale-up, so backers understand fit, silhouette, and styling direction.

    Confidence · high

  4. 04

    Marketplace sellers

    Add motion assets for listings and storefront modules without setting up separate production for every SKU.

    Confidence · high

  5. 05

    Catalog teams with seasonal refreshes

    Turn existing product lines into fresh video cutdowns when the season changes but the garments stay in range.

    Confidence · high

  6. 06

    Lookbook editors

    Create short trailer sequences that bridge still lookbooks and moving campaign stories for launches and press sends.

    Confidence · high

  7. 07

    Kidswear operators

    Generate clear garment-focused clips with simple blocking that keep the product readable across fast-scroll channels.

    Confidence · high

  8. 08

    Adaptive fashion labels

    Use motion to show closure points, drape, and accessibility details that stills alone may undersell.

    Confidence · high

  9. 09

    Lingerie DTC brands

    Direct controlled campaign reels with precise framing and lighting while keeping the garment central and the branding consistent.

    Confidence · high

  10. 10

    Factory-direct manufacturers

    Publish simple product trailers for wholesale outreach and direct sales without waiting on distributed sample logistics.

    Confidence · high

  11. 11

    Vintage and resale sellers

    Create polished short-form motion for one-off items that would never justify a traditional studio booking.

    Confidence · high

  12. 12

    In-house ecommerce creatives

    Test multiple trailer formats for PDPs, landing pages, and platform placements from one interface and one asset logic.

    Confidence · high

— Principle

Honest is better than perfect.

Fashion trailer clips travel fast across paid social, PDPs, and marketplaces, so provenance cannot be an afterthought. RAWSHOT labels outputs, applies visible and cryptographic watermarking, and signs provenance with C2PA so teams can publish short-form motion with a clear record of what it is. That is not just compliance work; it is brand hygiene for modern commerce.

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 instructions. That matters for fashion teams because the people choosing camera motion, framing, light, background, and aspect ratio are usually buyers, marketers, and ecommerce operators, not specialists in text syntax. RAWSHOT is built like a real application, so the controls are visible, repeatable, and easy to hand from one teammate to another without losing the setup.

For catalog and campaign work, reliability beats improvisation. RAWSHOT keeps tokens, timings, refund rules, commercial rights, provenance signalling, watermarking, and the REST API surface explicit, so teams can plan launches without vague trial and error. The same control logic works in the browser for one reel and in API workflows for large product runs, which means you can standardize motion production around clicks your team already understands.

What does an AI-assisted fashion trailer workflow actually change for ecommerce teams?

It changes who gets access to motion assets and how repeatable the process becomes. Instead of booking a studio day, shipping samples, casting talent, and rebuilding a setup every time you need a new cut, your team can generate short garment-led reels from a controlled interface. That is especially useful for ecommerce teams that need launch clips, PDP motion, paid social edits, and marketplace assets from the same product library.

RAWSHOT makes that workflow operational by combining model control, camera choices, lighting systems, backgrounds, visual styles, and output formats in one place. You can use the browser for a single campaign task or move into the REST API when the workload becomes catalog-scale. Because outputs are labelled, C2PA-signed, and commercially usable worldwide, the handoff from creative testing to publishing is much cleaner than a generic experiment with no provenance or rights clarity.

Why skip reshooting every SKU when we need fresh motion for a new season?

Because seasonal updates usually change merchandising context faster than they change the product itself. A team may need a new visual mood, a different aspect ratio, or a fresh trailer cut for paid social, but not a full production cycle for every garment in the range. Rebuilding all of that through traditional shoots is expensive, slow, and hard to coordinate when the main goal is to refresh output rather than reinvent the line.

RAWSHOT lets you keep the garment central while changing style presets, lighting direction, framing, model choice, and reel structure with clicks. The same model can stay consistent across multiple SKUs, which helps when a collection needs visual continuity across launch materials. That gives teams a practical way to refresh motion assets for new channels and seasonal messages without reopening the entire production chain.

How do we turn flat garment files into catalogue-ready motion clips without prompting?

You start by setting the reel structure in the interface: choose duration, framing, shot count, background, aspect ratio, and visual style. Then you direct model action, camera motion, and lighting through controls designed for apparel work, so the garment remains readable in motion. That flow is easier for commerce teams because every decision is visible on screen and can be repeated across multiple products without rewriting instructions each time.

RAWSHOT is engineered around garment fidelity, which is why cut, colour, pattern, logo, fabric, and drape stay central to the process. You can create one clean four-second clip for a PDP or expand to broader campaign motion with the same interface logic. Once a workflow is approved, teams can keep using it in the browser or formalize it in the REST API for repeatable catalog production.

Why does RAWSHOT beat ChatGPT, Midjourney, or generic image models for fashion PDP motion?

Because garment commerce needs control and reproducibility, not guesswork. Generic tools are built around typed requests, which often leads to garment drift, invented logos, changing faces, and long revision loops before a usable result appears. That makes them awkward for PDP motion, where buyers and merchandisers need the product to stay stable across variants and publishing teams need a clear rights and provenance story.

RAWSHOT takes the opposite approach. The garment is the brief, and the interface is built around clicks for model selection, framing, motion, lighting, background, and style. Outputs are labelled, C2PA-signed, and backed by a signed audit trail, while commercial rights remain explicit and worldwide. For teams responsible for product truth and operational scale, that is a much safer production system than hoping a generic model behaves consistently on the next attempt.

Can we use these reels commercially on product pages, ads, and marketplaces?

Yes. RAWSHOT gives you full commercial rights to every output, permanent and worldwide, which is the baseline teams need before they place assets on PDPs, paid social, landing pages, or marketplace listings. That clarity matters because motion assets move across many channels quickly, and a fuzzy usage position creates unnecessary risk for marketing, legal, and ecommerce operations.

RAWSHOT also supports trust at the asset level. Outputs are AI-labelled, C2PA-signed, and protected with visible and cryptographic watermarking, so the clip carries a clear record of what it is. Combined with GDPR-aligned, EU-hosted operation and a signed audit trail per image, that makes the output easier to govern internally and easier to publish responsibly across commerce channels.

What should our team review before publishing a fashion reel from RAWSHOT?

Review the same things you would care about in any product asset, but do it with garment truth and provenance in mind. Check that cut, colour, pattern, logo placement, fabric behaviour, and drape read correctly in motion. Confirm that the selected model, framing, lighting, and background support the product story you actually want to publish, rather than distracting from fit or silhouette.

Then verify the operational signals that make the asset publishable at scale: the clip is correctly labelled, watermarking is present, provenance is attached, and the output fits the intended channel format. In RAWSHOT those checks are easier because the controls are explicit and the compliance layer is built into the workflow. A good publishing habit is to approve one repeatable scene setup first, then reuse that standard across the range.

How much does an ai video trailer generator cost in RAWSHOT, and what happens if a generation fails?

Video pricing in RAWSHOT starts at about $0.22 per second, and generation typically takes about 50–60 seconds. Because video uses more tokens per second than stills, longer clips cost more, which keeps pricing straightforward for planners building launch calendars or test budgets. Tokens never expire, and you can cancel in one click from the pricing page, so finance and operations teams are not forced into wasteful usage windows.

If a generation fails, the tokens are refunded. That matters in real commerce workflows because testing durations, formats, and scene variations is part of the job, not an exception. Combined with no per-seat gates and no contact-sales wall for core features, the pricing model stays usable for a solo founder, a lean DTC team, or a larger catalog operation managing motion output at volume.

Can we connect RAWSHOT to our catalog pipeline or Shopify-scale workflow?

Yes. RAWSHOT supports a browser GUI for single-shoot or small-team work and a REST API for catalog-scale production. That means a creative or ecommerce lead can establish the visual logic in the interface first, then operations or engineering can translate that same structure into repeatable workflows for larger SKU sets. The product does not split core functionality into a separate enterprise-only path.

This matters when a team needs one system for both experimentation and scale. You can approve models, styles, framing, and lighting in the browser, then run structured batches through the API as assortment size grows. Because the same engine, pricing logic, and rights framing apply across both modes, teams avoid the usual break where a tool feels useful in demos but becomes fragile in production.

How do small teams and large catalog operations use the same video system without losing consistency?

They work from the same core controls and the same output rules. A small team can direct one campaign reel in the browser by selecting model action, camera motion, lighting, background, duration, and format. A larger operation can take that approved setup and extend it across a much bigger SKU count through the API, without changing the pricing logic, rights position, or provenance model halfway through the process.

That consistency is what turns a creative tool into infrastructure. RAWSHOT keeps the same per-output logic whether you are making one launch clip or building a repeatable motion layer for a large catalog. When teams share scene templates, approved model choices, and channel-specific aspect ratios, they gain throughput without giving up product truth, labelled output, or a clear operational audit trail.