Interior source image for material extraction
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Material Extraction Analysis
Pull material language from a scene

Material Extraction Analysis is a Lovspark AI design skill. Upload a design image and pull out material readouts — wood, stone, metal, fabric, and coating relationships — for boards and specs.

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What is Material Extraction Analysis?

Direct answerTurn a scene into a reusable finish language so teams can copy, compare, and talk materials more precisely.

Lovspark Material Extraction Analysis helps you reverse-engineer the finish system of a reference image.

Use it when a client loves a reference but you need a structured material reading — not just a vibe.

Outputs support mood boards, FF&E talks, and downstream material-swap decisions.

Source image before material extraction
Source
Material analysis created in Lovspark
Analysis
Material Extraction Analysis overview
Input1 design or reference image
OutputMaterial-focused analysis visualization
FocusFinish types, palette, relationships
Best forMaterial selection, reverse design, teaching
Also useful withTargeted Material Swap / Scene to Moodboard
Best inputs
  • Interior references
  • Facade material close-ups
  • Product or space photos with clear finishes

Updated by the , based on the live product and real project examples.

Sources: Lovspark product documentation · Lovspark Academy

Material Extraction Analysis feature panel

Open Skills library and choose Material Extraction Analysis. Upload a scene image, set the output ratio, then generate a material-focused analysis that extracts its key finishes and palette.

Lovspark Material Extraction Analysis panel with uploaded images: original image, style reference, image ratio, and Generate button
Tip

Prefer images where materials aren't crushed by heavy filters or extreme noise.

How to use Material Extraction Analysis

Three steps from a space image to a material analysis.

1

Open Skills library and choose Material Extraction Analysis

Open Skills library, then choose Material Extraction Analysis from the skill list to start this workflow.

Lovspark Skills library overviewEmpty skill panel ready for image upload or asset selection
2

Upload your original image

Upload, paste, or drag in a clear original image. It becomes the base for this generation.

Source image before material extraction
Start with a clear, well-framed photo so structure and perspective stay readable.
3

Generate the analysis view

Create a material-focused reading of the scene.

Source interior image for material analysis
Source
Material analysis created in Lovspark
Analysis

Material extraction input checklist

Use a clear space image with visible materials and balanced light.

01

Use a natural-color source image

Avoid strong filters and color casts so material color can be read accurately.

02

Show enough of each material

Keep wood, stone, fabric, and other finishes large enough to identify their texture and pattern.

03

Keep the main spatial surfaces visible

Include the wall, floor, furniture, and major lighting so the material relationships are clear.

04

Use a sharp, evenly exposed image

Avoid blur, strong noise, blown highlights, and blocked shadows.

05

Use an approved space direction

Use this to organize the materials and palette of an existing space, not to redesign the space.

Material Extraction Analysis FAQ

Great for design communication — still verify real product samples before procurement.

What is Material Extraction Analysis?

Material Extraction Analysis analyzes a design image and visualizes its finish language so teams can discuss materials with clearer shared vocabulary.

Does it identify exact SKUs?

No. It provides a visual finish language for discussion. Exact product SKUs and procurement still need sampling and specification.

Can it feed Targeted Material Swap?

Yes—use extracted language as direction for swaps.

Works on exteriors?

Yes for cladding, paving, and facade systems.

Who benefits most?

Interior designers, material researchers, and educators.

Lovspark

Analyze materials

Upload a reference image and extract its finish language.

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