AI Clothes Virtual Try-On App

Let users virtually try on outfits from a selfie and monetize with weekly subscriptions.

In plain English

A selfie plus a picture of a garment is enough for FitIn to show that person wearing the outfit. The phone app makes the try-on picture, then offers a weekly subscription and extra credit packs for people who want more looks, because guessing from a flat photo is not the same as seeing the clothes on yourself. Short outfit-change videos on TikTok help new users find the app. The AI does almost all of the picture making, the in-app purchases, and the first steps for someone new, while the people running FitIn still look after the clothing catalog, the ads, and whether the pictures stay appropriate.

Automation90%

Startup cost~$99

Time to first $Not disclosed

Monthly range*$237 MRR

~$237 MRR (TrustMRR, Oct 2026); ~$4.6K all-time — early

DifficultyHard

SourceTrustMRR - AI Clothes Changer: FitIn ↗

Operator: Anonymous Founder

Verified

Revenue independently checked: documents reviewed by a publication, or a public dashboard.

TrustMRR listing (~$237 MRR, ~$4.6K all-time) ↗

Apple Developer $99/yr; model API costs not disclosed.

The tool stack

RevenueCat ↗

Mobile subscriptions

Model inference

iOS distribution

Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.

Step-by-step setup

Selfie + garment → try-on render.
Weekly sub + credit packs.
TikTok outfit-transition content.
License fashion catalogs carefully.

What's automated vs. the human 10%

The machine does

Try-on render
IAP
Onboarding

You still do

Catalog ops
UA
Moderation

Overview

iOS virtual try-on app (FitIn). SwiftUI + Firebase; Grok Imagine with Fashn fallback; ~$6.99/wk via Superwall.

Realistic income

TrustMRR (Oct 2026): about $237 MRR, ~$4.6K all-time. Early-stage; this is one operator’s result and doesn’t predict yours.

Risks

IP of fashion brands.
Body-image concerns.
Render quality fails = instant churn.

*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.

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