Step 1: Define the minimum viable closet
Do not start with seasonal storage boxes. Start with what you wear in the next 30 days: daily tops, bottoms, shoes, outer layers, and 5–10 occasion pieces. Momentum beats perfection.
Step 2: Photograph for AI success
Use bright, even light. Lay items flat or hang them. Avoid heavy shadows and cluttered backgrounds. Group small accessories only if your app supports multi-item detection cleanly.
- One clear subject beats artistic mess
- Include shoes and bags — they complete outfits
- Retake blurry shots; AI cannot invent fabric detail from noise
Step 3: Let AI catalog, then correct
In FitCheck AI, upload photos and let extraction propose category, colors, and attributes. Spot-check brands and occasions. Corrections teach a cleaner wardrobe graph for recommendations later.
Step 4: Generate your first outfits the same day
If you stop at inventory, the project dies. Generate three outfits (work, casual, occasion). Save them. That is the habit loop that justifies finishing the rest of the closet next weekend.
Frequently asked questions
How long does digitizing a wardrobe take?
A focused core wardrobe (30–50 items) can take under an hour with AI extraction and good lighting. Full archives take longer — batch by category.
Should I include clothes that do not fit?
Only if you will wear them within a season. Otherwise archive offline; a digital closet should reflect wearable reality.