aistage.pro
AI virtual staging for real estate photos—furnish, declutter, renovate, and create listing-ready rooms in about 60 seconds.
A startup from Sheridan, the United States, founded by Vladislav Patrushev.
AI virtual staging for real estate photos—furnish, declutter, renovate, and create listing-ready rooms in about 60 seconds.
A startup from Sheridan, the United States, founded by Vladislav Patrushev.
This page is designed to help you find out whether aistage.pro is good and if it is the right choice for you.
Agent Lens is an AI virtual staging workspace and Chrome extension for real estate agents, photographers, and property marketers. Upload a room photo or launch Agent Lens while viewing a listing, choose a design style, and receive a professionally staged image in about 60 seconds.
Use it to furnish empty rooms, replace furniture, remove unwanted items, refresh interiors, visualize paint and exterior changes, and prepare listing-ready images without scheduling traditional staging. The website also includes before-and-after examples, a public benchmark comparing virtual-staging output, and free calculators and writing tools for real estate professionals.
New accounts receive 10 credits. Paid credit packs start at $9.90 for 50 credits, with higher-volume options available. Agent Lens is built by Axis Trend Studio LLC in Sheridan, Wyoming.
Listed in
AI virtual staging
Furnish empty real estate photos in multiple design styles and generate listing-ready results in about 60 seconds.
Furniture Replacement
Replace dated or mismatched furniture while preserving the room layout, perspective, and architectural details.
Decluttering and Item Removal
Remove unwanted objects and visual clutter before staging or marketing a property photo.
Exterior and Paint Visualization
Preview exterior updates, paint colors, and curb-appeal changes before renovation work begins.
Chrome Extension Workflow
Launch Agent Lens from a property listing, upload the photo, select a style, and manage results without a complex editing workflow.
Agent Lens combines a web workspace with a Chrome extension, so a real estate professional can start from a listing photo instead of moving files through a separate design studio. It handles virtual furnishing, furniture replacement, decluttering, item removal, interior refreshes, paint changes, and exterior visualization. We also publish an open eight-case benchmark that shows source images beside first outputs—not only handpicked portfolio images.
Choose Agent Lens when you want fast, credit-based virtual staging without committing to a recurring subscription. New accounts receive 10 credits, and the Starter pack costs $9.90 for 50 credits. The workflow is built around real estate photos and typically produces a result in about 60 seconds. The public benchmark makes output quality easier to judge before buying. As with any virtual staging tool, review every image for factual accuracy, MLS disclosure requirements, and local advertising rules before publishing.
Agent Lens is designed for residential real estate agents, brokers, listing coordinators, real estate photographers, property marketers, home stagers, and small teams that need listing-ready visuals quickly. It is especially useful for professionals marketing vacant rooms, dated interiors, occupied spaces with visual clutter, or properties where buyers would benefit from seeing a renovation or furniture concept.
Agent Lens was created by Axis Trend Studio LLC to shorten the gap between finding a listing photo and having a usable staged concept. The product started with a Chrome-first workflow for real estate professionals and launched publicly in November 2025. It has since expanded into a web workspace with virtual furnishing, object removal, renovation visualization, before-and-after examples, a public quality benchmark, and free real estate tools.
The web application uses Next.js, React, and TypeScript. Supabase provides PostgreSQL, authentication, storage, and realtime services. The Chrome extension follows Manifest V3, while backend image-processing workflows use TypeScript/Deno edge functions and external AI inference providers. The production website runs on Node.js behind nginx and PM2.
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