WORN vs Worn.
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
WORN
Manage your watch collection, track wear days, and analyze cost per wear. Listen to watch movements for accuracy and virtually try on timepieces with AI.
- Digital watch collection management
- Wear day tracking and diary
- Cost per wear analysis
- Mechanical watch movement listening
- Virtual watch try-on with AI
- Watch discovery and ranking
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WORN is a companion and wear tracker for a watch collection: the pieces you own, the days you wear them, and the ones you are still deciding about. THE GRAND TOUR OF TIME Travel through the history of timekeeping, from a baboon bone with 29 notches to the quartz second: 109 hand-drawn stops, each a short chapter with the real story behind it. Eleven are free to play, a chapter of the day opens with your wrist check, and the Grand Tour Pass opens every stop for good. WORN Premium includes every stop. THE COLLECTION Every watch sits on its own cushion in a box you arrange yourself, the way a collector would. Behind each piece: photos, box and papers, purchase price, service history, and the movement inside it. The investment view divides what you paid by the days you actually wore it: cost per wear is the honest number, and it usually argues for wearing more, not buying more. THE DIARY A calendar of every wear, written by tapping the watch you put on. Journal entries, a streak drawn as a mainspring you keep wound, and charts of rotation, brands and value that draw themselves in as you scroll. LISTENING Rest your iPhone against the caseback of a mechanical or automatic watch and WORN listens to the movement's beat like a timegrapher, then answers the only question you actually have: is it running well? Drift is reported in seconds a day and kept as an accuracy log per watch, so you can watch a service coming instead of being surprised by it. DISCOVER Ten watches a night, drawn from a catalogue of 46,000 pieces and presented one at a time from a closed tray. It is not a feed: when the ten are judged, the tray is done for the night. Tap any card and the piece gets a study page: a monograph on the watch, its movement, its maker and its material: a page of horology, not a product listing. Keep what deserves it, rank your keeps from Grail down to Pass, and search the shortlist once it grows past easy remembering. TRY IT ON FIRST One photo of your wrist, scaled by your wrist measurement, so a 36 mm dress watch and a 44 mm diver land differently on the same arm: a fitting, not a picture. An optional AI render arrives as an instant print that develops on screen, with its size check written on the border; Credits are charged only when a picture actually comes back. Everything you try on is kept: a gallery in Discover, and a "Tried on" strand in the Diary that is never counted as a wear. AI, ONLY WHEN YOU ASK Point the camera at a watch and WORN identifies it. Photograph today's outfit and the Mirror picks the watch to wear with it. No photo leaves your device in the background: every AI feature is a deliberate tap, covered by a consent you can withdraw in Settings at any time. WHAT IT COSTS The collection box, the diary and listening are free, and every watch you add has a Slot. AI actions cost Credits, bought in small packs (30, 120 or 350) that never expire; a new install starts with 20. WORN Premium is optional: 75 Credits every month (about 15 wrist renders or 7 outfit pairings), and what you don't use rolls over. Loupe, Vitrine and Darkroom, the premium camera films, cost 5 Credits for each print you keep, included with Premium. The Grand Tour Pass is a one-time purchase. PRIVACY, PLAINLY Your watches, wear diary and recordings live on your device and in your own private iCloud database, which we cannot read. The privacy policy names every service the app talks to and exactly what each one receives. If something is broken, tell us from inside the app: the feedback form shows you the diagnostics it will attach before you send it. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://worn.club/privacy Community Guidelines: https://worn.club/guidelines
Worn.
This app helps you understand and leverage your personal style. It analyzes your color palette, body shape, and style personality to curate outfits from your existing wardrobe and suggest new pieces that genuinely fit your aesthetic.
- Personalized style analysis (Watermark)
- AI-powered outfit creation
- Wardrobe digitization and organization
- Smart shopping recommendations
- Outfit saving and management
- Color analysis
- Body geometry analysis
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Worn is the home of your style identity. It's a fashion intelligence that learns how you actually dress — your taste, your colors, your life — and turns your wardrobe into something you can finally see, use, and build on. No more "a closet full of clothes and nothing to wear." Worn understands what you own and what suits you, helps you put it together, and shops the rest with intention. YOUR WATERMARK — YOUR STYLE, DECODED Your Watermark is the signature beneath everything Worn does: a complete read of your personal style, built on the same frameworks professional stylists use. • Color analysis — your palette, undertones, and the shades that make you glow (and the ones to skip). • Body geometry — your body type and the silhouettes, cuts, and proportions that flatter you most. • Style personality — the aesthetic that's authentically you, from quiet classic to bold. • Taste & lifestyle — how you really live and dress, so styling fits your actual days. Once it's set, your Watermark powers everything. Every outfit Wané builds, every piece it recommends, and every shopping suggestion is filtered through your palette, your proportions, and your taste — so it feels unmistakably you. And the more you use Worn, the sharper your Watermark gets. MEET WANÉ, YOUR AI STYLIST Tell Wané the occasion — brunch, a meeting, a night out — and get complete, wearable looks built from your own wardrobe, with new pieces mixed in when you want them. Every look reads your Watermark and the weather, and Wané explains the "why" behind each choice. YOUR WARDROBE, DIGITIZED Add your clothes in seconds and see everything you own in one place — organized by category, color, and brand. Search it, browse it, and rediscover pieces you forgot you had. BUILD & SAVE LOOKS Create outfits, save the ones you love, and keep your go-to looks ready for the moments you need them. SHOP SMARTER Discover pieces that genuinely fit your style and fill the gaps in your wardrobe — matched to your Watermark, not random trends. Your style, understood. Welcome to Worn.
Screenshots
Verdict
The clearest difference is in-app purchases: Worn. at none against WORN's 5. Worn. also leads on iOS requirement (15.0 vs 18.0). On price, rating, ratings volume and ads there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. WORN sells 5 in-app purchases, starting at $6.99 per month. Worn. asks for nothing beyond the download.
On the App Store both sit at effectively the same score — 5.0 for WORN against 5.0 for Worn.. Both are backed by a comparable volume of ratings — 1 and 2 respectively.
| Parameter | WORN | Worn. |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (1 ratings) | 5.0 (2 ratings) |
| Positive reviews | 100.0% of reviews | — |
| Number of ratings | 1 | 2 — better |
| Update frequency | Fortnightly | — |
| Ads | No | No |
| In-app purchases | Yes | No — better |
| Monetization | Free with in-app purchases | Free — better |
| Devices | iPhone | iPhone, iPod — better |
| Requires iOS | 18.0 | 15.0 — better |
| Further details — not scored | ||
| Size | 188 MB | 12 MB |
| Age rating | 4+ | 4+ |
| Developer | Rishab Gupta | OmaInnova LLC |
Customer experience
WORN
Worn.
In-app purchases
WORN
- WORN Premium$6.991 Month
- WORN Premium$69.991 Year
- 30 Credits$3.00
- 120 Credits$10.00
- 350 Credits$25.00
Worn.
No in-app purchases









