— Product video · 9:16 · 4–6s clips
Direct your haul-ready reel with the AI Haul Video Generator—click-driven scenes, garment-led control, and zero prompting.
Generate on-model garment videos you can publish fast. You click the camera motion, framing, lighting, and motion cues—no typed prompts, no guesswork. If it’s not the product-led look you need, you cancel or rerun with the same controls.
- ~$0.22 per second of video
- ~50–60s per generation
- Video-first scene builder
- 9:16, 1:1, 4:5, 16:9
- Tokens never expire
- Cancel in one click
7-day free trial • 50 tokens (10 images) • Cancel anytime
Block the scene. Zero prompts.
Start from a haul-ready preset, then adjust motion, framing, and lighting with controls. Your garment stays the brief while the camera and model action change on command. ~4s clip · locked camera
- 6 clicks · 0 keystrokes
- app.rawshot.ai / build_scene
How it works
Click-driven scene building for fashion reels
Direct the camera and motion with presets and sliders, while the garment remains the brief—then export a labelled reel with provenance.
- Step 01
Select your scene controls
Click the camera motion, framing, lighting, background, and model action. The interface is designed for fashion edits—no typed instructions required.
- Step 02
Anchor the look to the garment
Choose the product category and composition limits in RAWSHOT. Garment fidelity stays the priority so your cut, color, and details remain faithful.
- Step 03
Generate, then publish with provenance
Generate the reel in one go and keep the same scene recipe for variants. Every output ships with signed provenance metadata, visible and cryptographic watermarking, and clear labeling.
Spec sheet
Proof for garment-led reel generation
These proof surfaces show what teams can trust across haul formats: control, fidelity, consistency, compliance, and clean commercial readiness.
- 01
No-likeness by design
Your video uses synthetic models built from 28 body attributes with 10+ options each. Accidental real-person likeness is statistically negligible by design, and outputs are transparently labelled.
- 02
Every setting is a click
Camera motion, framing, lighting, background, model action, and shot count are UI controls. You direct the shoot through buttons and sliders—no prompts, ever.
- 03
Garment fidelity stays locked
Cut, color, pattern, logo placement, and fabric drape are represented faithfully to the product. Where generic AI drifts to a prompt idea, RAWSHOT stays garment-led.
- 04
Diverse synthetic models
Pick a model baseline that fits your brand mood, then generate haul-ready motion. Models are synthetic and labelled so your team can publish confidently.
- 05
SKU consistency across variants
Save the model once and reuse it across every SKU. That means the face and body baseline stays consistent, avoiding drift between releases.
- 06
150+ visual styles for reels
Switch styles like catalog, lifestyle, editorial, campaign, street, Y2K, vintage, and noir. You can match your haul aesthetics without changing your control workflow.
- 07
2K/4K quality and all ratios
Generate at 2K and 4K with every aspect ratio you need for platforms. Build reels for 9:16, 1:1, 4:5, and 16:9 while keeping the framing purposeful.
- 08
Compliance with signed provenance
Outputs include C2PA-signed provenance metadata and watermarking that’s visible and cryptographic. RAWSHOT aligns with EU AI Act Article 50 and California SB 942, with GDPR compliance and EU hosting.
- 09
Per-image audit trail
Each generated output includes a signed audit trail so your team can verify what produced each asset. It supports internal QA and clean handoffs from creative to ops.
- 10
GUI for edits, REST API for scale
Use the browser GUI for single shoots, then run catalog-scale pipelines through the REST API. Same engine, same controls philosophy—without seat-based gates.
- 11
Predictable token economics
Video generation uses more tokens per second than stills, so longer clips cost more. Tokens never expire, failed generations refund tokens, and you can cancel in one click.
- 12
Full commercial rights, permanently
Every output includes full commercial rights, permanent and worldwide. Keep the assets for ads, PDPs, listings, and creator campaigns without muddy rights questions.
Outputs
Reel outputs you can ship Built for haul publishing
A labelled reel workflow with scene control that stays garment-led. Export-ready outputs for product pages and short-form feeds.
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 cues.Category tools + DIY
Shorter controls, more reliance on prompts, less direct scene control. DIY prompting: Typed prompts and prompt iteration before anything usable; constant tuning.02
Garment fidelity
RAWSHOT
Garment-led generation that preserves cut, color, pattern, and drape.Category tools + DIY
Often bends the product to match prompt intent, risking visible changes. DIY prompting: Garment drift is common, especially across repeated variants.03
Model consistency across SKUs
RAWSHOT
Save a model baseline and reuse it so faces stay consistent across catalog releases.Category tools + DIY
Faces and likeness vary more between runs, breaking catalog uniformity. DIY prompting: Inconsistent faces across outputs; the model changes each time you retry.04
Provenance + labelling
RAWSHOT
C2PA-signed provenance, visible + cryptographic watermarking, and AI labelling.Category tools + DIY
No clean provenance story; labelling may be missing or inconsistent. DIY prompting: Missing provenance metadata makes it hard to verify authorship and usage.05
Commercial rights
RAWSHOT
Full commercial rights to every output, permanent and worldwide.Category tools + DIY
Rights can be unclear or scoped by tool terms, creating publication friction. DIY prompting: Unclear rights—teams hesitate to publish without a clear licensing trail.06
Catalog API
RAWSHOT
REST API for batch pipelines with the same garment-led controls philosophy.Category tools + DIY
Limited batch tooling and per-seat pricing can slow onboarding. DIY prompting: No reproducible pipeline controls; you rebuild prompts for every asset.07
Iteration speed
RAWSHOT
Same controls across runs so edits are consistent and faster to QA.Category tools + DIY
Iteration often requires re-guessing controls because outputs vary widely. DIY prompting: Prompt-engineering overhead turns each variant into a separate creative gamble.08
Pricing transparency
RAWSHOT
Flat per-output pricing with ~$0.22 per second; tokens never expire and failures refund tokens.Category tools + DIY
Per-seat pricing and volume tiers that penalize growing catalogs. DIY prompting: Costs vary with retries and token usage; budgeting becomes guesswork.
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
Haul reels that stay consistent across drops
Operator archetypes and how click-directed, garment-first output fits the way they actually work.
- 01
Influencer editor
Generate consistent haul reels in 9:16 with the same model baseline, then swap garments without retouching faces or style logic.
Confidence · high
- 02
On-demand DTC designer
Publish new colorways quickly by clicking scene presets while keeping cut and logo placement faithful to the product.
Confidence · high
- 03
Kidswear brand
Create multiple haul angles with controlled framing and lighting so listings look like a real shoot—without studio days.
Confidence · high
- 04
Adaptive fashion line
Generate outfit-led reels that focus on garment details, using click controls to keep presentation stable across the catalog.
Confidence · high
- 05
Lingerie DTC
Direct editorial lighting and close-up motion while the garment remains the brief, avoiding accidental logo or fit shifts.
Confidence · high
- 06
Resale & vintage seller
Turn inventory into uniform haul content with labelled outputs and clear commercial rights for marketplace listings.
Confidence · high
- 07
Crowdfunding creator
Ship launch-week reels fast, reusing the same saved scene recipe for every backer update.
Confidence · high
- 08
Factory-direct manufacturer
Batch-generate haul-ready reels via REST API for large SKU lists, keeping model consistency to reduce QA churn.
Confidence · high
- 09
Marketplace operator
Produce on-model catalogue reels with predictable token economics, cancel or rerun in one click, and refund failures.
Confidence · high
- 10
Student fashion studio
Build campaign-style haul content with 150+ styles and clean provenance metadata—without learning prompt syntax.
Confidence · high
- 11
Boutique co-op
Coordinate multiple designers in one interface by using the same controls and saving models, so assets match across shops.
Confidence · high
- 12
Catalog ops team
Run nightly pipeline generations with scene controls and audit trails so every reel is verifiable and ready for publication workflows.
Confidence · high
— Principle
Honest is better than perfect.
RAWSHOT includes C2PA-signed provenance, visible and cryptographic watermarking, and AI labelling on outputs. That keeps haul reels auditable for compliance workflows, aligning with EU AI Act Article 50 and California SB 942 while staying GDPR compliant and EU-hosted.
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 AI-assisted motion change for SKU-scale haul video, beyond speed?
It changes consistency. Instead of rebuilding a creative prompt for each variant, you reuse the same scene controls and model baseline while swapping garments, keeping your haul look uniform across the catalog.
RAWSHOT’s garment-led workflow preserves cut, color, pattern, and drape, while outputs come with signed provenance metadata, visible and cryptographic watermarking, and AI labelling—so your production pipeline stays auditable as you scale reels.
Why reshoot every SKU for seasonal updates when you need reels for listings?
Because traditional reshoots force expensive studio days, shipping, and scheduling. With RAWSHOT, you keep your garment fidelity while generating haul-ready motion from a controlled scene recipe.
You also avoid common DIY failure modes like garment drift and inconsistent faces across retries. RAWSHOT makes model reuse explicit, and every output ships with per-image audit trail so your marketing and operations teams can move quickly without losing track of what was produced.
How do we turn flat garment photos into haul-ready motion using RAWSHOT controls?
You don’t need to translate a brief into text. You click the shot framing, lighting system, background, camera motion, and model action, then generate the reel with the garment anchored as the brief.
For variant sets, save your choices and reuse the model baseline so faces stay consistent. RAWSHOT also supports scene-building for motion and outputs that are labelled and watermarked with C2PA-signed provenance metadata.
Why does garment-led control beat prompt roulette for fashion PDPs?
Because garment-led control protects the product. When you click scene settings, RAWSHOT is built around faithful cut, color, and pattern representation rather than negotiating the look through prompt intent.
DIY workflows often cause invented logos and visible branding changes, plus drift between outputs. RAWSHOT’s labelled, watermarked outputs with signed provenance metadata give teams a cleaner commercial and QA story for PDPs.
Do RAWSHOT reels include provenance metadata for compliance review?
Yes. Every output includes C2PA-signed provenance and watermarking that’s both visible and cryptographic, with AI labelling included so compliance and brand governance teams can review assets confidently.
This matters for haul production because you may generate thousands of reels across SKUs and releases. RAWSHOT also provides a signed audit trail per image so you can verify what produced each asset.
Before publishing, what QA checks should we run on model consistency and product details?
Check garment fidelity first: cut, color, pattern, logo placement, and drape should match your product. Then confirm model consistency by reusing the saved model baseline across the set so faces and body attributes don’t shift between SKUs.
Finally, verify provenance signals: C2PA metadata, visible + cryptographic watermarking, and AI labelling are attached to each output. With those checks built into your workflow, your haul reels are ready for approval without last-minute guesswork.
How does video pricing work compared with still images when we plan a haul batch?
Video is priced by the clip length: ~$0.22 per second, and longer clips cost more because video uses more tokens per second than stills. A typical generation is ~50–60 seconds, and tokens never expire.
If something fails, failed generations refund tokens, and you can cancel in one click from the pricing page. That makes budgeting predictable for weekly haul drops.
Can we integrate RAWSHOT into a catalog pipeline with an API for batch reel generation?
Yes. RAWSHOT includes a REST API for catalog-scale pipelines, while the browser GUI supports single-shoot work. That lets creative teams iterate quickly, then ops can run nightly or scheduled reel generation.
The same garment-led controls philosophy carries across GUI and API, so your batch outputs keep the product as the brief. Each output remains labelled and watermarked with signed provenance and an audit trail for downstream QA.
How do we scale from one haul reel to hundreds without losing the same look and rights clarity?
Start by saving the model baseline and your scene control choices, then reuse them across SKUs. RAWSHOT is designed so your haul look stays consistent while you scale throughput through the GUI or REST API.
For rights clarity, every output comes with full commercial rights, permanent and worldwide, and includes provenance and watermarking. That combination keeps both marketing approvals and operational audits straightforward as the catalog grows.
Keep exploring