— Editorial & Campaign · Reels · 150+ styles
Direct your next cover reel with the AI Cover Story Generator—click-built scenes, not prompt work.
Generate on-model fashion video that stays true to your garment, with scene controls you can direct in the browser. Every choice is a button or slider, so you can iterate a look without prompt syntax. No studio days. No samples. No prompts.
- ~$0.22 per second
- ~50–60s per generation
- Tokens never expire
- Click-driven scene builder
- Full commercial rights
7-day free trial • 50 tokens (10 images) • Cancel anytime
Block the scene. Zero prompts.
Pick motion, framing, lighting, and background from fixed options. RAWSHOT then generates a labelled reel that follows your garment-led setup with a locked camera feel. ~4s clip · locked camera
- 6 clicks · 0 keystrokes
- app.rawshot.ai / build_scene
How it works
Click-driven scene building for editorial reels
Direct camera motion, framing, and lighting with presets—then generate labelled video without prompt overhead.
- Step 01
Choose a cover-style scene
Select a visual style preset, then set framing and lighting with fixed controls. You direct the look in the interface—no text entry.
- Step 02
Lock motion and model action
Pick camera motion, duration, and the model’s action for a reel that reads like an editorial shoot. The garment stays your brief, so the product remains the anchor.
- Step 03
Generate, label, and export
Create the reel in your chosen aspect ratio and resolution. Each output carries provenance signalling and watermarking, with full commercial rights for permanent, worldwide use.
Spec sheet
Proof that your reel stays on-brand
Twelve distinct checks that cover control, garment fidelity, consistency, provenance, and rights—so your campaign pipeline stays publishable.
- 01
No-likeness by design
Synthetic models are built from 28 body attributes with 10+ options each. Accidental real-person likeness is statistically negligible by design.
- 02
Click-driven creative decisions
Every creative variable is a button, slider, or preset in the interface. You never enter text to shape the output.
- 03
Garment fidelity first
Cut, colour, pattern, logo, and fabric drape are represented faithfully. Your garment is the brief, not an afterthought.
- 04
Diverse synthetic model set
Choose among transparently labelled synthetic models for coverage across styles and audiences. Diversity is built into the options, not improvised.
- 05
SKU-consistent output
Reuse the same saved model setup across your catalog. Same face, same body, no drift between shoots for a stable campaign look.
- 06
150+ visual styles for reels
Pick from catalog, lifestyle, editorial, campaign, street, vintage, noir, and more. Your reel can match the brand mood every time.
- 07
2K/4K clarity across ratios
Generate in 2K and 4K resolution with every aspect ratio. Build vertical, square, and wide campaign formats from the same engine.
- 08
Compliance-ready provenance
Outputs are C2PA-signed and watermarked with visible and cryptographic layers. RAWSHOT aligns with EU AI Act Article 50 and California SB 942 requirements.
- 09
Signed audit trail per image
Each output includes a signed audit record so your team can trace what was generated. The trail supports internal review and publish workflows.
- 10
GUI and REST API
Use the browser GUI for single reels, or the REST API for catalog-scale batches. Same output quality, same controls, different workflows.
- 11
Speed with transparent token pricing
Video is priced per second with ~50–60s generation times and tokens that never expire. Failed generations refund tokens automatically.
- 12
Full commercial rights
Every output includes full commercial rights, permanent and worldwide. Publish across platforms without chasing unclear licensing.
Outputs
Editorial motion reels you can publish Labelled, rights-clear output
A gallery of cover-style video looks built with click-driven scene controls and garment-led fidelity.
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.
01
Interface
RAWSHOT
Click-driven controls for camera, framing, lighting, and motion—no text entry.Category tools + DIY
Often rely on shorter, less precise controls and chat-like inputs. DIY prompting: DIY systems require typed prompts and prompt iterations before anything usable.02
Garment fidelity
RAWSHOT
Garment-led generation keeps cut, colour, pattern, and drape faithful to your product.Category tools + DIY
Generic tools can shift the garment details to match a vibe description. DIY prompting: Typed prompts increase drift; garments mutate between takes and variants.03
Model consistency
RAWSHOT
Save a model setup and reuse across SKUs for stable faces and bodies.Category tools + DIY
Faces can change across outputs because presets vary between runs. DIY prompting: DIY outputs often produce inconsistent faces between versions, breaking catalog continuity.04
Provenance + labelling
RAWSHOT
C2PA-signed provenance and visible plus cryptographic watermarking on every output.Category tools + DIY
Provenance is frequently missing or not packaged for production teams. DIY prompting: DIY generations typically lack C2PA records, labelling, and audit-ready metadata.05
Commercial rights
RAWSHOT
Full commercial rights to every output, permanent and worldwide, with clear policy framing.Category tools + DIY
Rights can be unclear or tied to tool terms instead of output-level clarity. DIY prompting: DIY workflows often leave licensing ambiguous, slowing approvals and publishing.06
Iteration speed
RAWSHOT
Iterate by adjusting sliders and presets, then generating again from the same scene setup.Category tools + DIY
Iteration can require rebuilding prompts or reselecting controls from scratch. DIY prompting: Prompt-engineering overhead slows each variant and increases rework when results differ.07
Pricing transparency
RAWSHOT
Flat per-second video pricing with tokens that never expire and one-click cancel.Category tools + DIY
Per-seat pricing and volume tiers can punish growth or limit team access. DIY prompting: DIY costs can spike unpredictably with long prompt trials and retries.08
Catalog API
RAWSHOT
REST API for catalog-scale pipelines with GUI parity for production teams.Category tools + DIY
APIs may be limited or not aligned with consistent garment-led controls. DIY prompting: DIY batch pipelines are harder to reproduce consistently across SKUs.
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
ManualCreate 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...
A prompt can describe one image. It cannot become a shared production system for hundreds of products, models, angles and markets.
Rawshot
ClicksSaved shoot recipe
Apply to 1 SKU or 10,000 via GUI, CSV or REST API.
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
Cover-style reel production for campaign teams
Operator archetypes and how click-directed, garment-first output fits the way they actually work.
- 01
Indie brand marketing lead
Build cover reels for seasonal drops with editorial lighting presets and quick iteration per variant.
Confidence · high
- 02
Catalog operator for new arrivals
Generate short motion clips in matching ratios while keeping product details consistent across SKUs.
Confidence · high
- 03
DTC ecommerce creative manager
Produce on-model campaign video for PDP promos without studio scheduling or sample shipping.
Confidence · high
- 04
Influencer team producing look reels
Keep the same model setup across platforms so the face and styling stay recognizable in every post.
Confidence · high
- 05
Lookbook editor
Turn flat garment assets into narrative reel sequences using controlled camera motion and framing.
Confidence · high
- 06
Adaptive fashion line operator
Generate labelled reels for accessibility-focused merchandising while maintaining faithful garment representation.
Confidence · high
- 07
Resale marketplace curator
Create consistent motion previews for listings while avoiding garment drift across versions.
Confidence · high
- 08
Factory-direct manufacturer
Batch-generate reel assets for large SKU lists using REST API workflows with stable output quality.
Confidence · high
- 09
Student fashion team
Learn production-grade art direction with click-driven controls instead of prompt syntax.
Confidence · high
- 10
Lingerie DTC producer
Generate cover reels with controlled framing for product-led storytelling and clean exports.
Confidence · high
- 11
Crowdfunding creator
Refresh campaign visuals quickly for updates while preserving a consistent look across weekly reels.
Confidence · high
- 12
On-demand label coordinator
Scale motion coverage for limited runs with per-output rights clarity and publish-ready provenance.
Confidence · high
— Principle
Honest is better than perfect.
Every RAWSHOT video reel is C2PA-signed and watermarked with visible and cryptographic layers. Outputs are AI-labelled and packaged for compliance workflows aligned with EU AI Act Article 50 and California SB 942, so campaign teams can publish with provenance signalling built in.
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 changes for my campaign team when we use click-driven reel scenes instead of generic AI?
You get repeatable art direction that matches production needs: camera motion, framing, lighting, and background are selectable controls that you can rerun consistently. Instead of hunting for a “vibe,” you build the scene around the garment and keep the output stable across iterations.
RAWSHOT also packages labelled provenance and watermarking per output, so approvals are faster and publishing is cleaner. Use the GUI for quick edits in-browser, then switch to the REST API when you need batch coverage for multiple looks.
Why does garment-led control help reduce rework compared to reshooting every SKU update?
Garment-led generation anchors cut, colour, pattern, logo, and drape to your actual product details, so your updates don’t come back with visible product mutations. That means fewer “close enough” fixes and less creative re-alignment during campaign deadlines.
In practice, you iterate on scene controls—motion, lighting, and framing—while the garment remains the brief. For catalog-scale teams, you can reuse saved model setups to keep faces and bodies consistent across the entire SKU list.
How do we turn flat garments into cover-ready motion clips without prompt syntax?
In RAWSHOT, you start by selecting the reel scene: choose a visual style preset, set framing and lighting, then lock camera motion and duration. The model action is another fixed control you pick from an options list so the output reads like a directed editorial shoot.
Because all settings are UI controls, you can replicate a successful look across multiple variants without rewriting instructions. For team workflows, you can run the same scene recipe through the REST API to generate batch clips for your campaign calendar.
How does RAWSHOT compare with ChatGPT, Midjourney, or generic image tools for fashion PDP video?
Generic tools depend on typed prompts, which often produce garment drift and inconsistent product details between runs. They also make it harder to maintain catalog consistency because faces and styling can shift across outputs.
RAWSHOT is built around garment-led generation and click-driven scene control, with C2PA-signed provenance and watermarking per reel. You also get clear output-level commercial rights, which reduces the compliance back-and-forth common in prompt-based workflows.
Are RAWSHOT outputs labelled and traceable for compliance and publishing reviews?
Yes. RAWSHOT outputs carry C2PA-signed provenance and watermarking layers, including visible and cryptographic signalling that teams can verify during review.
This is designed to fit the way fashion operators work: clear labelling and an audit trail per output support internal governance and publisher checks. The platform aligns with EU AI Act Article 50 and California SB 942 requirements, so your campaign pipeline can stay compliant without last-minute paperwork.
What QA checks should we run before publishing a generated fashion reel?
Start with garment fidelity: confirm cut, colour, pattern, logo, and drape match the source product. Then verify the scene controls you selected—framing, lighting, background, camera motion, and duration—so the reel reads like your brand’s editorial direction.
For trust, check that the output includes provenance signalling and watermarking, and ensure the generated reel carries the expected model setup for consistency. Finally, confirm rights are clear for your intended channels since RAWSHOT provides full commercial rights with permanent worldwide use.
How do video pricing and token timing work for a weekly campaign cadence?
Video pricing is transparent per second, and your generation typically runs in the ~50–60 second range. Tokens never expire, so you can plan batches around your production calendar without rushing to “spend them” quickly.
If a generation fails, tokens are refunded, and you can cancel a job in one click from the pricing page. For weekly campaign work, that predictability makes scheduling edits and revisions far less stressful than trial-and-error prompt runs.
Can we generate reel assets at catalog scale using an API?
Yes. RAWSHOT includes a REST API for catalog-scale pipelines, letting you run the same scene controls across many SKUs. The API approach mirrors what you do in the browser GUI, so your production team doesn’t need to translate creative intent into complex scripts.
This is especially useful when you update collections frequently or need consistent motion assets for product pages. You can keep output quality stable while scaling throughput without per-seat gates for core features.
Does consistency hold when multiple operators generate reels for the same brand campaign?
Consistency is the default when you reuse saved model setups and repeat scene controls. Your teams can collaborate—one operator adjusts lighting or framing, another approves exports—without drifting faces or changing product details across versions.
Because every output is labelled with provenance signalling and includes audit trail metadata, approvals remain fast and traceable. The result is a campaign pipeline where production roles can move quickly while the final reels stay brand-consistent across batches.
Keep exploring