Custom workflows
for product and fashion visuals

Automate your image and video production with a custom workflow built by Claid’s team. We design it around your rules, connect it to your systems, and can manage it for you.
Custom workflows for product and fashion visuals

MEASURABLE OUTCOMES

Built for production teams that need repeatable quality

78%

fewer quality-related complaints

Mixam, global online printing platform

See case study →

3x

faster image processing

Kasta, 8M+ customers, 3M+ SKUs

See case study →

5x

higher output resolution

Mixtiles, global print and fulfilment

See case study →

25%

improvement in productivity

Rappi, 35M+ users, 9 countries

See case study →

Catalog intelligence, built into every step

Every workflow understands your whole catalog, not just one image at a time. SKU- and marketplace-aware rules apply consistently before anything is generated or exported.

Detect

01 Detect

Understand the image, category, orientation, input quality, and asset type.

Transform

02 Transform

Clean up, enhance, resize, normalize shadows, and prepare the input.

Preserve

03 Preserve

Keep labels, textures, geometry, garment shape, logos, and product details intact.

Decide

04 Decide

Apply rules by image type, SKU, marketplace, product family, or channel.

Generate

05 Generate

Deliver catalog-ready images, short videos, PDP sets, and platform exports.

For marketplaces, brands, and agencies

Start with a production problem. Claid turns the rules, checks, prompts, edits, and outputs into a repeatable workflow.

Automated model photos

Automated model photos

Flatlay / ghost mannequin input → Front / back identification → Fashion model selection → Photo generation with pre-built prompts (multiple poses per each model)

Logo restoration on clothes

Logo restoration on clothes

Input image → Resize → Logo area crop → Damaged logo replacement → Blend into the image

Garment color change

Garment color change

Input on-model image → Pantone mapping → Background color change → Format change → Aspect ratio change

Model swaps for diversity

Model swaps for diversity

Input on-model image → Face area detection → Target model selection → Face swap → Skin tone and lighting blending → Consistency check → Final enhancement

Video generation at scale

Video generation at scale

Input → Image intelligence (checking aspect ratio, resolution, orientation) → Outpainting → Quality enhancement → Analysis to choose the video direction and prompt → Prompt → Short video generation

Catalog diversification

Catalog diversification

Input image → Image analysis → Relevant prompt → Photo generation (multiple camera angles)

Marketplace standardization

Marketplace standardization

Seller images → Category detection → Crop and alignment rules → Resolution enhancement → Shadow normalization → Export

Full SKU visual sets

Full SKU visual sets

Single SKU image → Variant detection → Required asset list generation → Background / angle / crop rules → Batch generation

Product detail close-ups

Product detail close-ups

Input image → Key detail detection → Crop planning → Detail enhancement → Texture preservation → Background cleanup → Export

Automotive image cleanup

Automotive image cleanup

Input image → Car part categorization → OCR (extracting text) → AI retouch (cleanup, category-specific tasks) → Text restoration → Background standardization

Property photo optimization

Property photo optimization

Input property photo → Interior / exterior detection → Exposure and color balancing → Object cleanup → Lighting enhancement

Food image standardization

Food image standardization

Messy dish photos → Food detection → Background cleanup → Color and lighting correction → Standardized background → Format per platform

Run it your way

Fully managed. No engineering required. Claid’s forward-deployed team builds, maintains, monitors, and continuously optimizes the workflow for you.

  • No engineering required
  • Custom pipeline built and maintained
  • Continuously refined as your catalog grows
  • Connected to your business systems
  • Safe data handling and compliance
  • Custom contracts and SLAs

Prefer to integrate it into your own stack? Explore our APIs for full control and high-throughput access.

CUSTOMER STORY

“Claid helped us automate a complex fashion photo workflow, reducing turnaround time by 3x.”

Kasta uses Claid’s AI fashion tools in a custom, multi-layered workflow built for catalog-scale production.

Read full story 
Kasta flatlay converted into on-model fashion photos with Claid

Kasta · Fashion marketplace

Brief → Build → Run and refine

Send us the brief. We map the steps, build the pipeline, and keep refining it as your catalog grows. Here’s what that looks like for two different workflows.

Fashion: flatlay to full on-model catalog

Upload existing images
01

Existing images

Convert flatlay images into on-model photos
02

On-model photos

Generate multiple poses per garment
03

Multiple poses

Replace legacy model with face swap
04

Face swap

Preserve original garment details
05

Detail preservation

Export results back into the catalog structure
06

Catalog export

See how Kasta cut on-model photo production time by 3x. Explore AI image automation for fashion.

Marketplace: standardizing seller-uploaded car listings

Messy seller-uploaded car photo with a cluttered background
01

Messy upload

Background removed from the car photo
02

Background removal

HDR adjustment balancing lighting on the car photo
03

HDR adjustment

Cleaned up car photo with dirt and marks removed
04

Clean-up

License plate blurred for seller privacy
05

License plate blur

Final car listing photo ready to publish to the catalog
06

Catalog export

See how Caranty cut photo processing time by 30x. Explore AI image automation for automotive.

From request to production-ready visuals, automatically

Claid will connect image intelligence, prompt logic, editing, generation, QA, and workflow orchestration for your particular use case.

Process messy inputs at scale

Apply custom rules

Preserve product details 100%

Reduce manual work

Let’s build the workflows that get the job done

Automate the repetitive, manual, and hard-to-scale parts of visual production. From image cleanup and catalog standardization to on-model generation and short videos, we’ll build the workflow around your exact needs.

What kind of workflows can your team build?
Our team builds workflows that combine image understanding, generation, editing, and formatting around your specific rules. Examples of what we’ve built include:
  • Fashion pipelines (flatlay to model, multi-pose generation, face swaps)
  • Marketplace image standardization across sellers
  • Product background generation and catalog formatting
  • Color variation and SKU expansion
  • Image-to-video automation for ads
Do we need an engineering team to use this?
No. This is a fully managed service: Claid’s forward-deployed team builds, runs, and maintains the workflow for you. If you prefer, we can also integrate it into your own systems via API, with dedicated engineering support on our side.
Can your team handle large catalogs?
Yes. We design and run custom pipelines for scale, from thousands to millions of images, processing assets in bulk while our team maintains consistent quality and formatting throughout.
How long does it take your team to set up a custom workflow?
It depends on complexity, but our team typically designs and launches a workflow in weeks, not months. We start with a pilot, validate outputs together, and then scale it up with you.
Will your team keep refining the workflow over time?
Yes. Once a workflow is live, our forward-deployed team continues refining the pipeline based on your data, feedback, and new requirements, so it keeps adapting as your catalog or use cases change.
Does your team handle video, or just images?
Both, on the same pipeline. Our team already runs fashion and product video generation in production today, using the same rules engine that governs the image workflows we build.
How do we get started with your team?
Send us your brief and what you want to achieve. Claid’s forward-deployed team will map the workflow, propose a solution, and set up a pilot to validate results before we scale it.
Can you share how companies use your team to get a custom workflow built?
Companies that have Claid’s team build a custom workflow for them report faster processing, fewer quality complaints, sharper output, and higher productivity. For example, Kasta, a fashion marketplace with 8M+ customers, had our team build a custom pipeline around Claid’s AI fashion models and cut processing time by 3x; Rappi, a delivery platform with 35M+ users across 9 countries, had a custom workflow built into its pipeline by our team and raised productivity by 25%; Mixam, a global online printing platform, cut quality-related complaints by 78%; and Mixtiles reached 5x higher output resolution on average.