If you've searched for a digital closet app, you've probably already met most of the names on this list. Nouva, SELION.AI, Wardrowbe and aurelle each solve a piece of the "what do I actually own, and what should I wear today" problem — and each is genuinely good at the piece it solves. This isn't a takedown of any of them. It's an honest look at what to judge a closet app on, and where each option actually lands.
What to judge a closet app on
Two questions matter more than any feature list: can it take your real wardrobe — 150 to 300 items, photographed the way you'd actually photograph them, not in a studio — without a week of manual data entry? And once it's in, does it give you a decision every morning, or just a database you still have to think through yourself?
Nouva
Nouva's strength is color harmony scoring — it's genuinely good at telling you whether two pieces work together on color theory alone. Its limitation is that the scoring happens in isolation from you: it doesn't factor in your body, your calendar, or what's actually clean.
SELION.AI
SELION.AI builds your style profile through a chat interview rather than photos of your actual clothes. That makes onboarding conversational, but the recommendations are working from a description of your wardrobe rather than your wardrobe itself.
Wardrowbe
Wardrowbe tracks wear history and factors in the weather — a solid, practical combination. It's one of the more useful options here if those two signals are what you're after.
aurelle
aurelle proved this category could work at all, and deserves credit for that. Its main limitation today is platform: it's iOS only, so it's not an option if you're on Android or want to manage your closet from a browser.
Clad9
Clad9's approach is batch photo capture with no manual entry, with body shape and personal color at the center of every recommendation rather than color theory alone. A connected calendar is a real input, not an afterthought — outfits are built around your actual schedule and the weather for that day. Fit checks and a laundry basket mean recommendations only ever draw from what's clean. And the color and style tools are free to try before you make an account. It's web-based, so there's no platform lock-in the way there is with aurelle.
Side-by-side
App |
Standout strength |
Main limitation |
|---|---|---|
Nouva |
Color harmony scoring |
Judged in isolation from you |
SELION.AI |
Conversational onboarding |
Works from a description, not real photos |
Wardrowbe |
Wear history + weather |
No body or calendar input |
aurelle |
Proved the category |
iOS only |
Clad9 |
Body + color + live calendar + laundry-aware, web-based |
Newer to the market |
Which to pick
If color theory is your main hang-up, Nouva is worth a look. If you'd rather talk through your style than photograph it, SELION.AI's interview format fits. If you're squarely on iOS and want a mature, proven app, aurelle. But if you want a closet app that works from your actual clothes, your actual calendar and your actual laundry — not a description of any of them — that's what Clad9 was built for.
See the full breakdown, feature by feature: Clad9 vs. the alternatives →
Individual comparisons: Clad9 vs Nouva · Clad9 vs SELION.AI · Clad9 vs Wardrowbe · Clad9 vs aurelle
More on how Clad9's capture works: wardrobe capture. See pricing.
Clad9 is an AI wardrobe and personal styling app. Photograph your closet once and Clad9 catalogs every piece, then recommends what to wear each day around your body, your colors, the weather and what's actually on your calendar. Start at clad9.com.