Closet hostage? Free your wardrobe.
Google Photos Wardrobe is brilliant at one thing — finding your clothes in photos and cutting them out — and it stops right there. No wear log, no planner, no stats, no resale. It is a catalog, not a wardrobe. Armoiria graduates that first draft into the thing you actually wanted: an outfit you remember wearing, a re-wear streak you can see, a closet where every piece knows its cost per wear. Bring the Takeout zip or share a batch; the AI keeps the categories Google left you and fills the rest.
Google warmed the exact audience every wardrobe app wants — then showed them a cutout gallery. These are the four walls you hit the second week, and how Armoiria is built past each one:
Wardrobe isolates garments beautifully, but each piece is a floating PNG with no wear count, no outfit, no history. You still get dressed by memory, not by the app.
Every Armoiria item carries a wear log, outfit links, calendar placement, and stats — the memory layer cutouts never get. The catalog becomes a closet you can navigate by life, not by thumbnail.
Wardrobe has no outfit planner, no trip packer, no 'what's clean, what's due' queue. It can show you a tee; it cannot tell you to wear it Thursday.
The planner turns the catalog into outfits that know the weather, the trip, and the laundry pile. One catalog, repurposed into every morning decision it was meant to serve.
With no wear log, there is no cost-per-wear, no rescue challenge, no 'you wore this 3× last month' nudge. The financial story the wardrobe could tell is silent.
Money mode and stats are built on the wear log Google never started: every wear, every trip, every resale offer changes the number. The closet stops being expense and starts being portfolio.
Wardrobe is free and weighted to AI Pro pricing; it makes no promise about export, resale handoff, or the catalog surviving a product pivot — and in Google Photos, your wardrobe is interleaved with every other photo you own.
Armoiria is local-first: photos live on your device first, one tap exports JSON plus a ZIP with your photos, delete means delete. Your hours of photographing are portable by design, not by grace period.
The data-integrity promise
Every wardrobe app asks for the same precious thing: hours of photographing, tagging, and logging. Armoiria is built so that trust is never misplaced — durability is architecture here, not a promise-of-the-month.
Switch to Armoiria
Switching cost is the real lock-in — nobody wants to re-tag 400 items by hand. Armoiria’s importer does the heavy lifting: map a CSV, bulk-add photos, and a full migration takes an evening, not the five-hour retagging marathon everyone fears.
Google Takeout → Google Photos → export a zip, or share a batch straight from Google Photos on your phone. Drop the zip in Armoiria (or share the photos) — jszip extracts the images, album/category metadata is kept where Google exported it, and the existing categorize pipeline fills every other field before you review the carousel.
The importer recognizes Whering, Acloset, and GetWardrobe export layouts and maps the columns for you — confirm once, and every item lands with its type, color, brand, price, and notes intact.
Share a batch straight from your camera roll and the AI matches each photo to the right item. Anything never photographed takes seconds with Closet Scan — lay items out, snap once, confirm the cards.
Two paths, same carousel: (1) Google Takeout -> select Google Photos -> download the zip -> import it in Armoiria's Closet Scan ("Import Takeout zip") — jszip reads the photos and keeps any album/category metadata Google exported, then the AI categorize pipeline fills the rest; (2) share a batch straight from the Google Photos app into Armoiria. Both reuse the existing 50-photo capped import; every item lands with type, color, brand, and purchase-date hints intact, ready to review and save.
Yes, where Google exported them. Takeout album names and sidecar JSON are read as category hints; the categorize pipeline only overrides when the AI is low-confidence or the hint is more specific. Nothing is fabricated — when no metadata is present, the AI does the work exactly as it does for a camera scan.
Google Photos lightbox has no wardrobe-specific privacy commitment beyond Photos itself, and every catalog lives interleaved with your camera roll. In Armoiria, photos live on your device first, only the compressed categorize step leaves the device (with your explicit trigger), and one tap exports everything. Local-first here is not a setting — it is the architecture.
No. The importer is built on jszip (already in the app): pick the zip from Files, the app extracts photos and category hints on-device, and the draft carousel appears for review before anything is saved. No new dependencies, no server round-trip beyond the per-photo categorize calls you already use.
Armoiria is putting the final coat of paint on. Tell us where you’re coming from — we read every email, and you’ll be first through the door at launch.
Still weighing options? Compare Armoiria with other wardrobe apps.