Frequently Asked Questions

LayerOn utilizes advanced generative computer vision and neural cloth-warping networks. When you import a garment link or photo, our models automatically isolate the clothing item from the background, identify key body landmarks on your chosen avatar or photo, drape the fabric naturally over your shape, and synthesize photorealistic lighting, folds, and seam textures.

Most basic try-on apps only allow you to view a single shirt or isolated dress. Outfit Stacking is LayerOn's signature feature: it allows you to layer up to 4 garments simultaneously (such as an inner t-shirt, an unbuttoned overshirt/jacket, trousers, and sneakers) to test complete coordinated looks before buying.

Both options are supported! You can select from our diverse library of curated male and female models with various body shapes and skin tones, or upload a clear full-body photo of yourself to create your personal digital fitting room.

For the sharpest, most accurate fit visualization:

• Stand upright facing the camera with arms slightly away from your sides (relaxed A-pose or natural standing pose).
• Ensure good, even lighting without heavy shadows.
• Wear relatively fitted base clothes (e.g., t-shirt and jeans) so the AI can accurately map your body contours.

Pro Ultra-HD mode runs an additional generative super-resolution pass at 2048x2048 pixels. This preserves micro-textures like knitted wool stitches, denim twill patterns, leather sheen, and crisp garment edges for high-definition review.

LayerOn works seamlessly across major e-commerce platforms including:

• Amazon Fashion
• Myntra
• Flipkart
• Ajio
• Zara
• H&M, and many independent fashion web stores.

You can also manually upload any screenshot or photo of clothes from social media (Instagram, Pinterest) or local camera rolls.

Whenever you are browsing an apparel item in Myntra, Amazon, or Flipkart:

1. Tap the standard Share button on the product page.
2. Select LayerOn from the list of apps.
3. LayerOn will automatically extract the product imagery and load it straight into your styling canvas.

Yes. Every item imported into LayerOn retains its original product source link. When you find an outfit you love, tap the "Buy / View on Store" button to be taken directly to the retailer's checkout page.

Your privacy is our utmost priority. Uploaded personal photos are stored securely in encrypted private buckets accessible only by your authenticated account. We do not sell, rent, or publicly display your personal photos. You can delete your images or account at any time from within app settings or via our Account Deletion Page.

No. Your personal photos are strictly used as ephemeral reference inputs to generate your requested try-on rendering and are never added to public training datasets.

As outlined in our Terms of Service, users must have explicit consent before uploading photos of any identifiable person. Photos of minors (under 18) may only be uploaded by parents or legal guardians. Any harassment or non-consensual use is strictly prohibited and subject to immediate account termination.

Generating an AI try-on utilizes cloud GPU computing power. Each try-on requires digital credits. We provide free daily login allowances, streak rewards, and opt-in rewarded video ads to earn free credits continuously without paying.

Pro Subscribers receive unlimited standard try-ons, high-speed priority GPU queueing, unlimited access to Pro 2K Ultra-HD resolution, multi-garment 4-layer stacking, and an ad-free styling experience.

All in-app subscriptions are processed through Google Play Billing. You can manage or cancel your subscription at any time by opening the Google Play Store app > tap Profile > Subscriptions > LayerOn > Cancel Subscription.

During peak hours, our AI GPU rendering cluster processes thousands of requests concurrently. Typical wait times are between 10 to 30 seconds. If a request ever times out, your credits are automatically refunded.

You can reach our dedicated support team 24/7 by emailing layeronai04@gmail.com or submitting a message on our Contact Page.