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AI-powered virtual dressing room that generates realistic try-on images from a photo and garment flat-lay.
Submit your own product to reach creators and founders looking for the next tool to try.
AIDressingRoom is a web-based AI try-on tool that generates realistic photos of you wearing uploaded garments, replacing the need for a physical fitting room.
AIDressingRoom is an AI-powered virtual dressing room that runs entirely in the browser. It takes a full-body model photo (JPG/PNG, 150–4096px, 5KB–5MB, single person) and a garment flat-lay image (e.g., top, bottom, dress, or jumpsuit) as inputs, then outputs a photorealistic try-on image in seconds. The tool supports top-only, bottom-only, full-set, and dress try-ons. The service is hosted at aidressingroom.xyz and offers paid plans; free users can upload but cannot generate results.
The homepage describes a three-step process: (1) upload a full-body model photo or provide a URL, (2) choose garments from top, bottom, dress, or full-set categories and upload the corresponding flat-lay photo, (3) click "Generate AI Try-On" to receive a realistic result. Output resolution can be set to match the original image, 576×1024, or 720×1280. The current "Top Only" mode replaces only the model's top garment.
Pricing is pay-per-use. $1 gives 5 generations ($0.20/gen). Starter Pack $4.99 for 50 generations ($0.10/gen), Pro Pack $14.99 for 150 generations ($0.10/gen) with priority processing, Business Pack $39.99 for 500 generations ($0.08/gen) with priority processing. All packs have 30-day validity. Free users cannot generate try-on images; a subscription is required.
No. Free users can upload and preview images but cannot generate try-on results. A paid plan or credit pack is required to create AI try-on images.
Model photos must be JPG/PNG, 150–4096px, 5KB–5MB, showing a single full-body person facing forward. Garment photos must be flat-lay shots without folds, obstructions, or multiple garments.
Generated image links are valid for 24 hours from creation.
The service is a website; while it likely works on mobile browsers, there is no dedicated mobile app.