Extract from Garment

Challenges in Extracting Designs from Garments

In the textile industry, design creation does not always start from scratch. Very often, customers come with a garment, bag, home textile product, or an image found online and say:
“We want this design.”

In such cases, the process becomes much more challenging for designers.

When the only reference is a single photograph, manually separating motifs, capturing accurate colors, and defining correct proportions requires significant time and effort.

Moreover, the reference image may:

• Lack sufficient clarity

• Be taken in a store window or have a complex background

• Contain wrinkles, lighting issues, or perspective distortions

All of these factors make reproducing the design accurately even more difficult.

Another common scenario involves brands that build their collections by taking inspiration from products found online. For these companies, extracting or faithfully recreating designs from reference images is one of the most time-consuming and labor-intensive steps in the entire workflow.

Redrawing the design from scratch not only consumes valuable time, but also often results in designs that fail to fully match the original reference.

As a result, teams are usually forced into a difficult choice:

• Act quickly and deliver a design that does not fully match the reference

• Or extend the process to achieve accuracy, losing valuable time

In both cases, time, cost, and customer satisfaction are negatively affected.

For this reason, the ability to generate a design that is as close as possible to a reference image—quickly and reliably—has become not just a convenience, but a competitive advantage for today’s textile companies.

AI-Powered Design Extraction from Garments

Our AI-powered Design Extraction from Garments feature was developed to eliminate the need to redraw designs from scratch and to generate results that stay as close as possible to the reference product image.

This feature focuses on generating a result that is highly faithful to the reference image—without adding interpretation or creating alternatives. The character, structure, and proportions of the original design are preserved.

Even in complex images, the AI focuses solely on the design itself.
Human figures, backgrounds, and other distracting elements are ignored, ensuring that the essence of the design remains intact regardless of the visual complexity.

Depending on your needs, you can generate:

• Repeatable, print-ready allover designs

• Motif-focused, non-repeating placement (panel) prints

This flexibility allows you to choose the correct production approach for both collection development and customer-specific requests.

This feature is especially valuable when:

• A customer says, “This is the design we want”

• A result as close as possible to the reference is required

• Speed, control, and reliability are critical

Extracting a design from a garment or product is no longer a long and exhausting task. You can now respond to customer requests with faster, more accurate, and more confident results.

What Is the Difference Between Allover and Placement (Panel) Printing?

When extracting or recreating a design from a garment or product, the ideal approach is not always the same.
For this reason, the system offers two different extraction models based on your intended use: Allover Design Generation and Placement (Motif) Extraction.

Allover Design Generation

The allover model aims to recreate the reference design in a repeatable, print-ready format.

It preserves the overall character and motif structure while generating a continuous and seamless design suitable for production.

This model is ideal for:

• Fabric printing

• Meter-based production

• Collection development

The generated design is created in a seamless (repeatable) structure whenever possible. It can repeat in at least one direction (width or height) and integrates smoothly into printing workflows.

Placement (Motif Extraction)

The placement printing model focuses on extracting the motif as-is, without converting it into a repeating design.

The priority here is preserving the structure, details, and visual identity of the motif.

This model is preferred for:

• Single-piece prints

• Placement-based designs

• Motif-focused applications

Repeatability is not the goal. Instead, the objective is to obtain the most faithful digital version of the motif from the reference image.

Which Model Should You Choose?

Choose Allover Design Generation if:

• The design needs to repeat across fabric

• It will be used in collections or mass production

Choose Placement Printing if your goal is:

• Extracting a specific motif

• Creating a single-piece or positioned print

• Achieving a motif that closely matches the reference image

With these two approaches, users can select the most suitable model for their needs and achieve the most efficient results when working with reference visuals.

How Does Extract from Garment Work?

Step 1 – Select the Model

Before starting, users choose the appropriate model:

• Allover Design Generation for repeatable, print-ready designs

• Placement (Motif Extraction) for motif-focused, single-piece outputs

This selection defines the structure and intended use of the generated design.

Step 2 – Upload the Reference Image

Users upload the image containing the design they want to extract. This can be:

• A garment worn by a person

• A product displayed in a store window

• A designed object such as a bag, pillow, or carpet

• An image sourced from the internet

Even if the image contains other elements, the AI focuses exclusively on the design.

Step 3 – Define the Design Area (Cropping)

Once the image is uploaded, the system may automatically suggest a cropped area to help the AI better analyze the design—especially if the design occupies a small portion of the image.

Users can:

• Accept the automatic crop

• Manually adjust the crop area

• Cancel cropping altogether

If multiple designs appear in the image, selecting the correct area is crucial for achieving results that closely match the reference.

Step 4 – Generate the Design

After completing the necessary adjustments, the user clicks “Generate.”

The generation process takes approximately 2–3 minutes.

Rather than producing alternatives, this feature focuses on delivering a single, clear result that stays as close as possible to the reference design.

Step 5 – Download or Continue Exploring

Once generation is complete, users can:

• Download a 72 DPI PNG for preview and quick use

• Download a 254 DPI TIF for high-quality print production

Users who wish to explore further can regenerate the design using the same reference image.

Note: The higher the quality of the uploaded image and the clearer the design details, the closer the final result will be to the original reference.

To better illustrate the process, sample visuals are shared below.

Advantages of AI-Powered Extract from Garment

Results That Closely Match the Reference

This feature is not about creating alternatives—it is about achieving the right result.
The character, proportions, and structure of the reference design are faithfully transferred into a digital format.
Not “similar to this,” but “this.”

Eliminates the Need for Redrawing from Scratch

Extracting designs from garments or products no longer requires hours—or days—of manual work.
The entire cycle of manual separation, redrawing, and repeated revisions is removed.
What once took days can now be completed in minutes.

Immediate Response to Customer Requests

When a customer says, “We want this design,” there is no need for additional preparation.
You can generate results directly from the reference image and align expectations instantly.

Confident Handling of Complex Images

Garments worn by models, store-window photos, or visually cluttered backgrounds are no longer an obstacle.
The AI ignores all distracting elements and focuses solely on the design.

The Right Model for the Right Need

With allover and placement printing models, you can confidently produce:

• Repeatable, production-ready designs

• Motif-focused, single-piece prints

This flexibility allows one tool to support multiple business models.

Shorter Sampling and Revision Cycles

Because results closely match the reference from the start, revision counts decrease, sample iterations are reduced, and decision-making accelerates—saving both time and cost.

Faster Collection and Archive Development

By quickly digitizing references from customers or online sources, you can significantly accelerate collection development.
The most time-consuming step is no longer a bottleneck.

A True Competitive Advantage

Fast, accurate, and reliable design extraction improves customer satisfaction, shortens delivery times, and clearly differentiates you from competitors.
This is not just a tool—it is a shift in how you work.

Experience AI-Powered Design Extraction Live

Would you like to see how extraction from garment works in real workflows?

During the demo, you can generate live examples using your own images and directly experience the results of both allover and placement printing models.

The demo—designed specifically for designers and production teams—allows you to evaluate:

• Design extraction from reference images

• Output quality and repeat structure

• Speed and ease of use

Contact us to request a demo and learn more.

*During the demo, you can create live examples using your own designs.