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Rawshot.ai

Product video · Jewelry-focused · ~4–10s clips

Direct branded jewelry reels with the AI Jewelry Video Generator—controlled by clicks, not prompts.

Generate scene-ready video while you adjust camera motion, framing, lighting, and background through a real application UI. Every setting is a button or slider, so you can direct the garment’s look without prompt syntax or guesswork. No reshoots. No samples. No prompting.

  • ~$0.22 per second of video
  • ~50–60 seconds per generation
  • Tokens never expire
  • 4K-ready
  • Scene builder controls
  • 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.

Start with locked camera settings, then choose your camera motion, framing, lighting, and background. RAWSHOT keeps the jewelry-led look consistent with button-driven scene control—no text needed. ~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 jewelry scenes with click-driven controls

Create reels by selecting camera, framing, lighting, and motion. RAWSHOT labels every output and supports GUI plus REST API workflows.

  1. Step 01

    Direct the reel with UI controls

    Click camera motion, framing, lighting, and background in the scene builder. You steer the shot like a real set—without text.

  2. Step 02

    Keep the jewelry as the brief

    RAWSHOT generates on-model visuals grounded in the actual garment details. Cut, colour, and branding stay faithfully represented so outputs fit your PDPs and campaigns.

  3. Step 03

    Generate, label, and publish confidently

    Outputs ship with C2PA-signed provenance and watermarking cues. Use the GUI for single reels or the API for catalog-scale batches.

Spec sheet

Jewelry reel proof, end to end

Twelve independent proof surfaces: control reality, garment fidelity, provenance, API readiness, and commercial-rights clarity for every clip you ship.

  1. 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.

  2. 02

    Click-driven UI, zero prompts

    Every creative decision is a button, slider, or preset. You direct the shot without typed instructions or prompt syntax.

  3. 03

    Garment-led fidelity

    Jewelry details are represented faithfully: shape, colour, pattern, logos, and material cues. The garment is the brief, not a vague description.

  4. 04

    Synthetic models, clearly labelled

    Diverse synthetic models are transparently labelled so your team can review outputs with full context before publishing.

  5. 05

    SKU consistency across outputs

    Same model settings produce repeatable results across SKUs. No drift between reels, no “close enough” retakes.

  6. 06

    150+ visual styles for reels

    Switch between catalog, lifestyle, editorial, campaign, street, vintage, noir, and more. Match your brand’s art direction per collection.

  7. 07

    2K/4K resolution and ratios

    Generate in 2K and 4K with every aspect ratio your channels need. Build for 9:16, 1:1, 16:9, and more.

  8. 08

    Compliance-ready provenance

    Outputs are C2PA-signed and meet EU AI Act Article 50 expectations. California SB 942 compliance and EU-hosted operations are built in.

  9. 09

    Per-output audit trail

    Each generated image carries a signed audit trail so teams can trace what was produced and when it entered your pipeline.

  10. 10

    GUI + REST API for scale

    Use the browser GUI for single reels and the REST API for catalog-scale pipelines. Same engine, same look, same rules.

  11. 11

    Pricing that matches video reality

    Video uses more tokens per second than stills. You pay per time worked, with tokens that never expire and fast iterations.

  12. 12

    Full commercial rights, permanent, worldwide

    Every output ships with full commercial rights for permanent, worldwide use. Keep publishing without rights ambiguity per reel.

Outputs

Your reel set, organized by shot intent Ready for PDPs and campaigns

Preview multiple scene directions with consistent jewelry-led rendering, then export the outputs your team needs for release windows.

Studio black detail pass
White infinity packshot reel
Editorial hard-light motion

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 scene builder with buttons, sliders, and presets.

    Category tools + DIY

    Chatty controls or shorter settings; often prompt-centered workflows. DIY prompting: Typed prompts in ChatGPT, Midjourney, Flux, or generic image tools.
  2. 02

    Garment fidelity

    RAWSHOT

    Jewelry details follow the actual brief, not a textual guess.

    Category tools + DIY

    Weaker garment mapping; higher risk of mutated product details. DIY prompting: Garment drift between outputs when prompts are interpreted loosely.
  3. 03

    Model consistency across SKUs

    RAWSHOT

    Same model, same face/body settings across your catalog reels.

    Category tools + DIY

    Inconsistent faces and framing across items; drift over time. DIY prompting: Inconsistent faces across outputs; catalog consistency is manual.
  4. 04

    Provenance + labelling

    RAWSHOT

    C2PA-signed provenance plus visible and cryptographic watermarking cues.

    Category tools + DIY

    Often no C2PA, no labelling, no audit-grade signals. DIY prompting: Missing provenance metadata; hard to demonstrate origin and handling.
  5. 05

    Commercial rights

    RAWSHOT

    Full commercial rights to every output, permanent, worldwide.

    Category tools + DIY

    Rights narratives can be unclear or inconsistent across tiers. DIY prompting: Unclear rights story; teams inherit uncertainty and compliance overhead.
  6. 06

    Iteration speed per variant

    RAWSHOT

    30–60s generation per run with stable controls and repeatable outcomes.

    Category tools + DIY

    Iteration requires more manual re-prompting or parameter guessing. DIY prompting: Prompt-engineering overhead before you get usable results.
  7. 07

    Pricing transparency

    RAWSHOT

    Simple per-second video pricing; tokens never expire; one-click cancel.

    Category tools + DIY

    Per-seat pricing and volume tiers that punish growth. DIY prompting: Compute costs and retries accumulate silently across multiple attempts.
  8. 08

    Catalog API

    RAWSHOT

    GUI for single reels, REST API for catalog-scale pipelines.

    Category tools + DIY

    Less structured batch support and fewer reproducible exports. DIY prompting: Batching requires custom glue, manual organization, and QA per output.

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 launches, listings, and seasonal drops

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

  1. 01

    DTC jewelry brand for weekly drops

    You direct close-up motion reels for new SKUs, keeping the same look across every product page.

    Confidence · high

  2. 02

    Ecommerce marketplace seller at SKU scale

    You generate consistent reel variations for thousands of listings without re-shooting each batch.

    Confidence · high

  3. 03

    Indie designer building a launch kit

    You select lighting and backgrounds from presets to assemble campaign-ready content in your browser.

    Confidence · high

  4. 04

    Catalog team for seasonal updates

    You reuse the same synthetic model direction while updating product angles and framing across collections.

    Confidence · high

  5. 05

    Influencer-style reel for social channels

    You match aspect ratios per platform and create editorial motion that stays on-brand.

    Confidence · high

  6. 06

    Adaptive jewelry line for accessible presentation

    You generate product-led motion reels that focus on the jewelry details rather than reshoots.

    Confidence · high

  7. 07

    Resale and vintage sellers with consistent visuals

    You produce repeatable reel directions so listings feel cohesive even across diverse inventory.

    Confidence · high

  8. 08

    Factory-direct manufacturer creating sell-in assets

    You batch generate labeled reels for retail partners while keeping an audit trail per output.

    Confidence · high

  9. 09

    Jewelry studio student learning production workflows

    You practice camera motion and lighting choices through a UI that mirrors production decisions.

    Confidence · high

  10. 10

    Lingerie-adjacent accessory brand for detail storytelling

    You create tight detail passes that highlight materials and finishes for PDP and editorial placements.

    Confidence · high

  11. 11

    On-demand label staging campaign scenes

    You pick 150+ visual styles to match the narrative direction of your latest collection.

    Confidence · high

  12. 12

    Platinum catalog pipeline via REST API

    You run nightly scene batches through the API and keep consistent reels across the entire catalog.

    Confidence · high

— Principle

Honest is better than perfect.

RAWSHOT outputs include C2PA-signed provenance and watermarking cues so teams can publish with traceable origin. That matters for AI jewelry video generator workflows where brand trust, attribution, and compliance signals are part of the product experience.

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 click-driven scene control change for jewelry video reels?

You get predictable, repeatable reels because camera motion, framing, lighting, and background are explicit controls—not interpretive language. That means you can aim for the exact jewelry presentation you want, then rerun variations without reinventing your workflow.

Use the browser GUI for single reels or switch to the REST API when your catalog needs batch output. RAWSHOT keeps the jewelry-led brief consistent across takes so product pages stay visually coherent.

Why does garment-led control beat prompt roulette for PDP assets?

Because garment-led control is anchored to the real product details instead of a text guess that can drift between outputs. Prompt-based workflows commonly mutate product traits and require extra cleanup to reach brand-accurate results.

RAWSHOT generates scene content around the garment, then labels provenance and watermarking cues. When you publish, your team can QA against a consistent look, not a moving target created by ambiguous instructions.

How do we turn flat jewelry listings into motion-ready reels without prompting?

Start a scene in RAWSHOT, then select framing (close-up or detail), choose a lighting system preset, and set the background you need for your channel. Add camera motion and shot count with UI controls, then generate the clip.

The key is that every creative decision is a click—so you can build a repeatable recipe per SKU type. That keeps your production cycle stable across weekly releases and seasonal remakes.

Can a jewelry brand keep the same look across a whole catalog?

Yes. RAWSHOT is designed for catalog consistency so you can reuse the same model direction across your SKUs and keep face/body settings stable. That reduces drift between reels and helps your store look cohesive.

When you need scale, use the REST API to run nightly batches. Each output includes an audit trail and compliance signals, so production and publishing teams share the same source of truth.

How do you handle provenance and labelling for AI-assisted jewelry reels?

RAWSHOT outputs include C2PA-signed provenance plus visible and cryptographic watermarking cues. That gives your team a reliable way to attribute content and maintain trust across your supply chain.

Compliance signals are part of the output itself, not a separate paperwork step. For regulated or brand-sensitive environments, you can publish with clearer origin documentation and consistent labelling.

What QA checks should we run before publishing reel exports?

Run a quick review for garment fidelity—shape, color, and material cues—then confirm the intended framing and lighting match your channel specs. Also verify the output is labelled correctly and that the watermarking cues are present for your internal records.

Because RAWSHOT supports both GUI and batch output, you can standardize your QA checklist across single launches and full catalog pipelines. That makes it easier to prevent inconsistent visuals from slipping into listings.

How does per-second video pricing work for reel production and retries?

Video is priced by time: ~0.22 per second, so longer clips cost more. Generations typically take ~50–60 seconds per run, and tokens never expire, which simplifies scheduling.

If a generation fails, tokens are refunded and you can retry without paying twice. Use the pricing page cancel control for one-click stopping during experimentation.

Can our team integrate RAWSHOT into existing catalog pipelines via API?

Yes. RAWSHOT provides a REST API so you can submit scene batches and generate reels at catalog scale while keeping the same rules as the browser GUI. That lets engineering and operations own the workflow instead of relying on manual export steps.

For teams that already manage SKUs, angles, and channel layouts, this reduces the friction between creative direction and production execution. You still get labelled outputs and per-image audit trails for operational confidence.

How do we scale production with teams split between creative and ops?

Creative can finalize scene recipes in the browser GUI—camera motion, lighting, backgrounds, and framing—then ops run the same direction through the API for bulk reel generation. Because controls map cleanly from UI to REST, you avoid mismatches between “approved” and “generated” assets.

You can also standardize your QA and publishing gates around the labelled provenance, audit trail, and commercial rights story. The result is a workflow that scales without losing brand consistency.