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Virtual Try-On Accuracy Explained

Looksy’s AI-powered virtual try-on delivers realistic visual previews that help shoppers see how garments will look on them. Accuracy depends on several factors, including photo quality, garment type, and the technology used.

What Virtual Try-On Does Well

Highly Accurate Areas

Style & Silhouette

95%+ accuracyThe overall shape, cut, and silhouette of the garment are rendered accurately across different body types.

Color & Pattern

90%+ accuracyColors, graphics, and patterns are displayed realistically. Customers can see how prints and designs look on them.

Placement & Positioning

90%+ accuracyGarments are positioned correctly on the body, showing necklines, sleeves, and hem placement accurately.

Overall Visualization

85%+ accuracyThe combined effect gives shoppers a strong sense of how the item will look on them, reducing purchase uncertainty.

What Virtual Try-On Approximates

Areas with Limitations

Moderate accuracyThe AI can show general drape and flow, but fine texture details (like cable knit patterns or bouclé fabric) may not render perfectly.What this means: Shoppers see the overall look, but very specific fabric feel is approximated.
Not a substitute for size chartsVirtual try-on shows how the style looks, but it’s not a sizing tool. It doesn’t predict whether a Medium or Large will fit better.What this means: Always pair virtual try-on with detailed size charts and fit guides.
Variable accuracyHeavy sequins, 3D appliques, and intricate beading may not render with full detail.What this means: The overall look is accurate, but very fine details may be simplified.
Moderate accuracySheer materials, mesh panels, and see-through fabrics can be challenging to render realistically.What this means: Test these products first to ensure the result meets your quality standards.

Factors That Improve Accuracy

Product Image Quality

What actually helps accuracy:
Multiple angles (max 4 images per product) → Better AI contextDetail shots (close-ups of texture/material) → More realistic renderingAny background works (plain, complex, or busy) → AI handles all backgroundsHigher resolution helps (1200px+ recommended) → Clearer detailsShowcasing garment details (unique features) → More accurate results

Selfie Quality

What helps with selfies:
  • Full body shot – Shows complete garment placement (works best)
  • One person only – Required for AI to process correctly
  • Human photo – No cartoons, animals, or illustrations
  • Enough body visible – At minimum, enough to show the garment
Don’t worry about expression, sunglasses, hats, facing camera directly, or recent photos. The app works with any selfie.

Garment Type

Some products work better than others:
  • Best: Tops, t-shirts, blouses, dresses with clear structure
  • Good: Jackets, hoodies, activewear
  • Variable: Oversized styles, drapey cardigans, highly textured fabrics

How Looksy Compares to Competitors

Industry-Leading Accuracy

Looksy uses state-of-the-art AI models trained on millions of garments and body types, delivering:
  • Faster rendering – Results in 15-20 seconds
  • More realistic outputs – Advanced fabric and shadow rendering
  • Better body type diversity – Trained on diverse datasets for inclusive representation
  • Consistent quality – Reliable results across product categories

Continuous Improvement

The AI models are constantly updated with:
  • New garment types and styles
  • Improved fabric rendering
  • Better handling of complex patterns
  • Enhanced accuracy for diverse body types

Realistic Customer Expectations

What to Tell Shoppers

Do say:
  • “See how the style and color look on you”
  • “Visualize the garment before you buy”
  • “Get a realistic preview of the product”
Don’t say:
  • “Perfectly accurate representation”
  • “Exact fit prediction”
  • “100% photorealistic rendering”

Combine with Other Tools

Virtual try-on is most effective when combined with:
  • Detailed size charts – For fit guidance
  • Fit descriptions – “Runs small,” “oversized fit,” etc.
  • Customer reviews – Real feedback on fit and quality
  • Product videos – Show fabric movement and texture
Virtual try-on is a visualization tool, not a sizing tool. It reduces uncertainty by showing style and appearance, but doesn’t replace size charts.

Measuring Accuracy Impact

How Merchants Can Assess Performance

Track these metrics to see if accuracy meets customer needs:
  1. Return rate – Are returns lower for try-on products?
  2. Conversion rate – Do products with try-on convert better?
  3. Customer feedback – What are shoppers saying about the feature?
  4. Engagement rate – Are customers using try-on repeatedly?
If these metrics improve, the accuracy is meeting customer expectations.

What Good Performance Looks Like

Stores using Looksy typically see:
  • 10-25% conversion rate increase on try-on enabled products
  • 15-30% reduction in return rates due to better expectations
  • 2-3x higher engagement on product pages with try-on
  • Positive customer feedback on the feature’s helpfulness

Common Accuracy Questions

Virtual try-on shows how the style looks on you, but it’s not a precise fit predictor. It helps you visualize appearance, but you should still refer to size charts for fit guidance.
Accuracy depends on photo quality. Poor lighting, angled selfies, or low-resolution product images can reduce accuracy. Using high-quality photos improves results significantly.
Yes. Looksy is trained on diverse body types and works across different shapes, sizes, and skin tones. The AI adapts the garment rendering to match the person in the selfie.
Yes. The AI models are continuously updated with new data, improving rendering quality, fabric accuracy, and support for more garment types.

Transparency About Limitations

We’re Honest About What Virtual Try-On Can’t Do

Virtual try-on is not:
  • A replacement for trying on clothes in person
  • A precise fit or sizing tool
  • A perfect fabric texture simulator
  • A substitute for customer reviews and size charts
Virtual try-on is:
  • A powerful visualization tool
  • A way to reduce purchase uncertainty
  • A method to see style and color on yourself
  • A tool to increase confidence and reduce returns
By setting realistic expectations, you’ll have happier customers who understand what virtual try-on offers and use it effectively.

Improving Accuracy for Your Store

Actionable Steps

  1. Audit product images – Ensure they meet quality standards
  2. Test across product types – Identify which categories work best
  3. Gather customer feedback – Ask what shoppers think of the accuracy
  4. Iterate and improve – Disable underperforming products, expand winners
  5. Educate customers – Set proper expectations about what try-on shows

Next Steps