About IGetDressed.Online
AI try-on that lets you upload yourself, build a small wardrobe, and shop the look from a single flow.
Our Mission
We're fixing the gap between inspiration and confidence to buy. IGetDressed.Online blends realistic AI try-on with shop-the-look results so you can see an outfit on yourself, save it, and buy similar pieces without leaving the flow.
What You Can Do
Photoreal Try-On
Upload yourself plus up to five clothing items per look. We keep your main reference photo first, enforce wearing rules, and generate realistic results you can download or share.
Wardrobe Intelligence
Batch uploads run through AI analysis to tag color, style, category, and brand. You can reorder items, replace them, and reuse saved looks later.
Shop the Look
After each try-on we fetch similar products from trusted retailers so you can compare options without retyping what you see.
Save & Share
Every result can be downloaded, shared, and stored in My Outfits. Saved outfits can be reused to generate new looks or re-run shopping suggestions.
How It Works Under the Hood
- Clothing analysis via our batch preprocessing pipeline (Python/FastAPI) to extract category, color, style, brand, and recommended wearing styles.
- Try-on service pairs your reference photo with up to five wardrobe items, enforces wearing instructions, then renders a photorealistic result.
- Product search runs after try-on to find similar items you can shop immediately.
- Outfits and wardrobe items stay linked so you can re-run looks without re-uploading.
Built with Next.js, React, TypeScript, Tailwind, Clerk for auth, Stripe for billing, and Google Gemini/OpenAI-powered pipelines for analysis and try-on.
Reliability & Privacy
Sign-in is required to upload and save outfits. We run a wake-up check on the try-on service, provide progress feedback while your look generates, and give you full control to download, share, or delete saved outfits.
Get Started
Upload your photo, drop in a few wardrobe pieces, and see the outfit on you with shop-the-look suggestions in one flow.
Start Trying On