Pele AI Try On for Garments

Name: Pele AI Try On for Garments Introduction Video
Uploaded: 2025-06-19T22:24:04Z
Duration: 1 min 33 s
Description: AI virtual try-on revolutionizing fashion with instant and accurate size recommendations.

Develop by pele-ai

Free plan available

AI virtual try-on revolutionizing fashion with instant and accurate size recommendations.

Instant size recommendations

Ai virtual try-on

Advanced computer vision

About Pele AI Try On for Garments

Launched Jun 01, 2025

Built by pele-ai

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Introduction Video

Description

Let customers see how garments look on them before buying - real-time Try-On & AI-powered size fit.

Pele AI helps fashion merchants reduce returns with AI-powered virtual Try-On and personalized size recommendations for clothing items only. Shoppers can see how garments look on them in just 4 seconds, leading to more confident purchases. The app enhances the customer experience with advanced computer vision and smart sizing - no integrations or manual setup required.

Fabric, Color & Fit Accuracy - Vision AI reflects real garment texture and tones
4-Second Try-On – Shoppers see items on themselves in seconds
Instant Activation – Add Try-On to your store without code
Control Placement – Decide where the Try-On button appears
Product-Specific Setup – Choose which items feature the Try-On option

Pros

Reduces returns for merchants by using AI-powered virtual Try-On and size recommendations.
Allows shoppers to see how garments look on them within 4 seconds, leading to more confident purchases.
Enhances customer experience with advanced computer vision and smart sizing.
Easy to install and use, with no integrations or manual setup required.
Shows true-to-fabric, color, and fit with advanced vision AI.

Cons

Limited to clothing items only, restricting broader application.
May require users to have a basic understanding of AI-powered apps to feel comfortable using it.
Potential inaccuracies could arise in recommended sizes due to varied body types, though not explicitly mentioned in reviews.
Dependence on mobile device camera quality for accurate virtual try-on experience.