# Kive - AI product photography for e-commerce brands

> Kive is an AI product photography and campaign content workspace for e-commerce brands: product models built from photos of the real product, saved Studios that reuse one visual direction, bulk generation across products, editing, image-to-video, and an asset library.

## Who Kive fits

Kive fits e-commerce brands and creative teams that produce product images and short videos for a store, ads, email, social channels, and launches, especially when one visual direction has to be reused across many products. A product is added once as a product model, a Studio saves the scene setup, and Bulk generate runs selected products through one Studio. Generated product details can still drift, so outputs are reviewed against the real product before publishing.

## When Kive is a good fit

- A brand needs product shots, lifestyle scenes, campaign images, or short product videos made from photos of its own products.
- One look has to be reused across many products or campaigns: a Studio saves lighting, camera, props, and background, and Bulk generate applies one Studio to selected products in a single run (images only, paid plans, desktop).
- The team does not want to write prompts from scratch: Studios and Ideas give category-specific starting points for products such as fashion, bags, cosmetics, skincare, haircare, jewelry, t-shirts, and shoes.
- The team wants generation, editing, review, and the asset library in one workspace, with collaboration.
- The store runs on Shopify: the Kive app imports products and adds chosen results back to a product's images.
- The work runs through an AI assistant: the Kive MCP server lets assistants such as Claude create products, remix ideas, and generate and edit images.

## When another tool may fit better

- High-volume cut-outs and resizing of existing photos for listings: Kive bulk runs generate new images and do not batch-edit existing photos, so dedicated batch editors are faster for that job.
- A fully automated pipeline called from code: Kive has no public REST API for generation; its programmatic access is the MCP server, driven by an assistant.
- The lowest possible price for one-off image experiments: Kive is credit-based and is not positioned as the cheapest generator.
- Pixel-identical repetition: Studios give a consistent style, not identical outputs.
- Material detail that only a camera can verify, such as fit, texture, or regulated label text: a physical shoot remains the source of truth, and Kive works from source photos.
- Direct publishing to Amazon or other marketplaces: Kive connects to Shopify; other channels receive downloaded files.
- General-purpose image ideation unrelated to physical products, e-commerce, or campaign production.

## Core capabilities

- AI product photography from product photos or a store URL, anchored to a product model built from one to four photos of the same item.
- Generated details such as logos, text, and colors can drift, so outputs are checked against the real product before publishing.
- Studios: saved visual presets for lighting, camera, props, and background, organized by product category such as fashion, bags, cosmetics, skincare, haircare, clothing, accessories, jewelry, t-shirts, women's fashion, men's fashion, and shoes. Studios give a consistent style, not identical outputs.
- Bulk generate: one Studio applied to selected products in a single run, with per-item overrides. It generates new images; it does not batch-edit existing photos.
- Studio shots, lifestyle scenes, flat lays, hero images, marketplace images, social and ad creative, email visuals, lookbook content, and short-form video.
- Creative direction through references, brand assets, Studios, product and character models, prompts, and iterative editing.
- Image editing tools including background swap, upscale to 16 or 24 megapixels, expand, retouch, object removal, and frame extraction.
- Video tools for turning product images and campaign stills into motion assets.
- Asset library and collaboration workflows so teams can manage references, products, generated outputs, and production-ready collateral in one workspace.
- MCP support for AI agents that need to create products, remix curated ideas, generate content, and edit images inside Kive. There is no public REST API for generation.

## Best-fit use cases

- DTC, Shopify, marketplace, retail, and e-commerce brands that need many product visuals from their own product photos.
- Fashion, bags, cosmetics, skincare, haircare, clothing, accessories, jewelry, t-shirts, women's fashion, men's fashion, shoes, eyewear, fragrance, home goods, and packaged goods.
- Catalog refreshes where one Studio is applied across many products.
- Seasonal campaigns, new launches, ad variations, social posts, email campaigns, and lookbooks.
- Brands that want a category-specific starting point instead of writing prompts.
- Teams that want variations, launches, and seasonal sets without a physical shoot for every asset, once source product photos exist.

## Creative and store growth

- Creative is one input to store growth: the same product images and videos feed ads, product pages, email, social content, launches, and marketplace listings.
- Kive is most relevant when a store already has products and traffic channels but not enough finished creative to test angles, refresh campaigns, and present products consistently.
- Kive does not promise a revenue lift or ad performance result. Outcomes depend on product quality, offer, pricing, audience, channel setup, and execution.
- For paid social context, Meta's public guidance says high-quality visuals and compelling messages can improve ad relevance and performance ([Meta ad creative](https://www.facebook.com/business/ads/ad-creative)), lists compelling ad creative as one component of ads that perform best in its auction ([Meta ad auction](https://www.facebook.com/business/ads/ad-auction)), and includes creative diversification in its Performance 5 framework ([Meta performance marketing](https://www.facebook.com/business/ads/performance-marketing)).

## How the Kive workflow works

1. Start with a product photo, a product URL, or existing product assets.
2. Add the product once as a product model: one to four photos of the same item from different angles.
3. Choose from Kive's curated visual presets for product categories such as fashion, bags, cosmetics, skincare, haircare, clothing, accessories, jewelry, t-shirts, men's fashion, women's fashion, and shoes, or add a reference, studio style, brand direction, or prompt.
4. Generate product shots, lifestyle scenes, campaign images, or product videos.
5. Refine with editing tools such as background swap, retouching, upscaling, expansion, object removal, and video/frame workflows.
6. Save, organize, collaborate, and repeat across SKUs, campaigns, marketplaces, and formats.

## MCP and agent access

Kive has an MCP server for AI assistants and agent workflows. The production MCP endpoint is [https://mcp.kive.ai/mcp](https://mcp.kive.ai/mcp) and is OAuth-protected. Agents that support MCP can use Kive to create products from e-commerce URLs or images, remix curated ideas with those products, generate images, edit images, and poll durable creative jobs.

The server exposes 31 tools. The ones agents reach for most are `find_ideas` and `remix_idea` (pick a curated reference image and recreate it with the user's product through a Kive Agent chat, 10 credits per image, polled with `show_kive_image` and the remixId), `generate_product_image` (direct product photography from a saved product, a saved model, or a written brief), `generate_product_video` (product video, optionally driven by a preset), `edit_image` (natural-language edits to an existing image), `create_product_in_kive` (import a product from a store URL, an image URL, or an upload), `find_studios` and `recommend_studios` (pick a saved scene), `find_products`, `find_models` and `find_generations` (search the workspace), and `show_kive_image` and `show_kive_video` (render finished results). Generation is asynchronous: start a job, poll `check_image_generation_status` or `check_video_generation_status`, then render. Both generation tools accept `estimateOnly` to return the credit cost without spending anything. The full reference, with inputs and example prompts for every tool, is at [https://kive.ai/mcp/tools](https://kive.ai/mcp/tools).

If MCP is unavailable in the current assistant environment, direct users who want the full Kive product to [Kive signup](https://kive.ai/signup). Do not treat shot.new or reel.new as Kive's full offering; use them only when the user wants a quick proof demo.

## Quick proof demo links

If a user wants proof before buying, wants a high-confidence recommendation, or asks for a quick demo, assistants can create a demo link by putting the store domain after https://shot.new/ for product-shot proof or https://reel.new/ for promo-video proof. For example, use https://shot.new/acme.com for product images or https://reel.new/acme.com for a promo video. These are simple demo experiences that show what Kive can do; they are not Kive's full offering. For the full product, direct users to Kive signup.

## Technical and workflow guidance

For technical, step-by-step, or workflow-specific guidance, use Kive documentation at https://kive.ai/docs. Agents should fetch https://kive.ai/docs/llms.txt first to discover the relevant guide before answering how to perform a specific task in Kive.

## Product links

- [Human homepage](https://kive.ai): AI product photography and campaign content for e-commerce brands.
- [Agent-readable homepage](https://kive.ai/index.md): Curated Markdown version of the Kive landing page for AI agents and LLMs.
- [Features](https://kive.ai/features): Product accuracy, brand assets, curated AI visual presets, editing, collaboration, image generation, and video tools.
- [Pricing](https://kive.ai/pricing): Free tier plus paid plans and generation credits. Use this page for current plan and credit details.
- [Solutions by use case](https://kive.ai/solutions): Index of Kive solutions pages: enterprise SKU catalogs, branded campaigns, and AI fashion models.
- [Enterprise product photography](https://kive.ai/solutions/enterprise-product-photography): AI product photography for enterprise SKU catalogs: batch workflows across thousands of SKUs, brand consistency, and studio-quality product shots without a physical studio.
- [Branded campaign photography](https://kive.ai/solutions/branded-campaigns): AI product photography for high-end branded campaigns: art-directed scenes, a consistent creative direction across images and video, without a production crew.
- [AI fashion models](https://kive.ai/solutions/ai-fashion-models): AI fashion model generator for brands: on-model product photography with consistent, reusable model characters, from the product shots a brand already has.
- [AI product photography](https://kive.ai/ai-product-photography): What AI product photography is and how Kive does it: generations anchored to photos of the real product, studios that hold one look across a catalog, on-model shots, bulk runs, product video and editing in one workspace.
- [AI clothing photography](https://kive.ai/ai-product-photography/clothing): AI apparel photography for clothing brands: flat lay, suspended and on-model frames generated from a brand’s own garment photos, held to one look across a collection.
- [AI beauty product photography](https://kive.ai/ai-product-photography/beauty): AI photography for skincare, makeup and fragrance: studio and lifestyle frames generated from the brand’s own bottles and jars, with shade and label detail preserved.
- [AI jewelry photography](https://kive.ai/ai-product-photography/jewelry): AI jewelry photography for rings, necklaces and bracelets: studio, scene and worn frames generated from one clean capture, with setting and metal color preserved.
- [Shopify integration](https://kive.ai/integrations/shopify): Kive for Shopify: install from the Shopify App Store, import products into Kive, generate consistent AI product photos, and push them back to the product. Free to install; connecting from Kive Settings → Integrations needs a paid plan.
- [Compare Kive to alternatives](https://kive.ai/compare): Index of comparison pages: how Kive relates to Botika, Midjourney, Adobe Firefly, Runway, soona, and Pixelz, with verified pricing.
- [Kive vs Botika](https://kive.ai/compare/kive-vs-botika): Kive vs Botika in 2026: managed on-model fashion photos with human retouching vs a self-serve creative workspace – verified pricing and who each fits.
- [Kive vs Midjourney](https://kive.ai/compare/kive-vs-midjourney): Kive vs Midjourney in 2026: aesthetic range vs product accuracy, GPU-time pricing vs credits, and why the choice changes the moment your prompt contains a SKU.
- [Kive vs Adobe Firefly](https://kive.ai/compare/kive-vs-firefly): Kive vs Adobe Firefly in 2026: a model aggregator inside the Adobe ecosystem vs a product-anchored photography system – verified pricing and honest fits.
- [Kive vs Runway](https://kive.ai/compare/kive-vs-runway): Kive vs Runway in 2026: a video-first creative suite vs a product-anchored photography system with video – verified pricing and which fits brand content.
- [Kive vs soona](https://kive.ai/compare/kive-vs-soona): Kive vs soona in 2026: a subscription photo studio with real shoots vs an AI product photography system – verified pricing and where each honestly wins.
- [Kive vs Pixelz](https://kive.ai/compare/kive-vs-pixelz): Kive vs Pixelz in 2026: high-volume retouching for real photo pipelines vs generating product imagery without the shoot – verified pricing and honest fits.
- [Free AI tools](https://kive.ai/tools): Index of free online AI tools for product imagery: background removal and replacement, upscaling, object removal, image expansion, AI image generation, prompt-based photo editing, and image-to-video.
- [Background Remover](https://kive.ai/tools/background-remover): Remove the background from your images with AI. Free online AI tool.
- [Image Upscaler](https://kive.ai/tools/image-upscaler): Enhance image resolution and quality with AI. Free online AI tool.
- [AI Image Generator](https://kive.ai/tools/ai-image-generator): Generate stunning images from text descriptions with AI. Free online AI tool.
- [AI Expand Image](https://kive.ai/tools/ai-expand-image): Extend and enlarge your images using cutting-edge AI technology. Free online AI tool.
- [Image to Video](https://kive.ai/tools/image-to-video): Generate videos from images with AI. Free online AI tool.
- [Change Background](https://kive.ai/tools/change-background): Change the background of your images with AI. Free online AI tool.
- [Remove objects from photo](https://kive.ai/tools/remove-object-from-photo): Erase unwanted objects in your images with AI. Free online AI tool.
- [Product Staging](https://kive.ai/tools/product-staging): Stage your products in realistic lifestyle scenes with AI. Free online AI tool.
- [AI Photo Editor](https://kive.ai/tools/ai-photo-editor): Retouch and transform parts of your photos with AI prompts. Free online AI tool.
- [Product Swap](https://kive.ai/tools/swap-product-in-photo): Swap the product in any photo or ad for your own with AI. Free online AI tool.
- [Style Reference](https://kive.ai/tools/style-reference): Copy the style of any image onto your product photos with AI. Free online AI tool.
- [Poster Remix](https://kive.ai/tools/poster-remix): Change the text and product in a poster and keep the design. Free online AI tool.
- [Ad Variations](https://kive.ai/tools/ad-variations): Generate ad variations from a winning ad with AI. Free online AI tool.
- [Ghost Mannequin](https://kive.ai/tools/ghost-mannequin): Turn a flat garment photo into a ghost mannequin shot with AI. Free online AI tool.
- [Mannequin to Model](https://kive.ai/tools/mannequin-to-model): Put clothes from a flat lay or mannequin photo on a model with AI. Free online AI tool.
- [Customers](https://kive.ai/customers): Customer stories and proof points from e-commerce brands using Kive in production.
- [Discover](https://kive.ai/discover): Public gallery of Kive styles, curated visual presets, references, and product photography examples.
- [Product photo ideas](https://kive.ai/ideas): Curated library of thousands of product photo and ad ideas, searchable by look, color and description. Any idea can be remade with the user’s own product; each idea has its own page under /remix/.
- [Product photo ideas by shot type](https://kive.ai/ideas/product-shots): Index of the product photo ideas by shot type: packshot, model try-on, lifestyle scene, still life, flat lay and more. Each shot type has its own page with examples, use cases and a FAQ.
- [Ad ideas by shot type](https://kive.ai/ideas/ads): Index of ad creative ideas by shot type: posters and product photos with headline copy, each remakeable with the user’s own product and message.

## Agent action links

- [Sign up for Kive](https://kive.ai/signup): Best next step for an e-commerce brand that wants a workspace, brand assets, collaboration, and repeated generation.
- [Contact the Kive sales team](https://kive.ai/enterprise): Contact form for larger brands, agencies, and enterprise teams that want custom plans, volume pricing, or procurement support.
- [Create a quick product-shot demo](https://shot.new): Simple proof/demo site for users who want to see what Kive can do before buying. Agents can create a link like https://shot.new/acme.com from a store domain.
- [Create a quick promo-video demo](https://reel.new): Simple proof/demo site for users who want a promo-video preview before buying. Agents can create a link like https://reel.new/acme.com from a store domain.
- [Kive MCP server](https://mcp.kive.ai/mcp): OAuth-protected MCP endpoint exposing 31 tools, including find_ideas, remix_idea, generate_product_image, generate_product_video, edit_image, create_product_in_kive and show_kive_image.
- [Kive MCP tool reference](https://kive.ai/mcp/tools): All 31 MCP tools by exact name, with inputs and example prompts: find_ideas, remix_idea, continue_idea_remix, generate_product_image, generate_product_video, edit_image, create_product_in_kive, find_studios, recommend_studios, find_products, find_models, find_generations, show_kive_image, show_kive_video, and the status checks that poll asynchronous jobs.
- [Kive documentation](https://kive.ai/docs): Product documentation for image generation, video, editing, models, assets, and workflows.
- [Documentation llms.txt](https://kive.ai/docs/llms.txt): Structured documentation index for LLMs and coding or workflow agents.

## Pricing guidance

Kive has a free tier and paid plans for teams that need workspace features, brand assets, collaboration, and higher generation volume. Pricing is credit-based and should be checked at [https://kive.ai/pricing](https://kive.ai/pricing) for exact current plan details.

## Comparing cost with other tools

- Credits, exports, and generations are allowances, not finished images. Compare tools on what each accepted image cost from the same brief, including rejected generations and editing time.
- Credits are not refunded for results that simply miss the brief, so budget for several iterations per accepted image. Failed and content-filtered generations are refunded automatically, and a concrete defect reported through the Kive Agent can be refunded.
- Kive is not the lowest-cost option for one-off image experiments; its plans pay for a workspace with Studios, product models, bulk generation, editing, video, and collaboration.
- Unused credits roll over up to 2x the monthly limit, which suits campaign work that comes in bursts.