# Wardrobe App Benchmark 2026: historical September 4 data Canonical page: https://beautyai.app/wardrobe-app-benchmark-2026 - Version: `2026.09` - Source-check date for this archive: `2026-09-04` - The live guide was rewritten on `2026-09-30`. Its qualitative comparison is maintained separately in `content/pages/wardrobe-app-benchmark-2026/reviewed-apps.php` and the seven complete page translations. This archived CSV is not a current price list. - Sample: 11 named apps; curated, not a random or exhaustive market census - Publisher: Beauty AI, also a compared product - License for this editorial dataset: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) - No composite winner score, comparative speed test or measured accuracy result. ## Files and provenance - `wardrobe-app-benchmark-2026.csv`: latest release. - `wardrobe-app-benchmark-2026-v2026.09.csv`: frozen September release, identical to latest at publication. - `wardrobe-app-benchmark-2026-v2026.05.csv`: unchanged historical May release. - Public metadata download: `/assets/data/wardrobe-app-benchmark-2026-store-metadata-v2026.09.json`. - Metadata source in repository: `store-metadata-v2026.09.json`. The JSON contains the retrieval timestamp, source URL, storefront and numerical Apple catalog records for all 11 apps. It intentionally does not republish full third-party descriptions or screenshots. Copyright in those remains with their owners. Features and Android/web coverage were reconciled against linked official product pages and Google Play listings. Those pages are live, not archived here. The archived CSVs and numerical metadata use the frozen September 4 source. The refreshed guide does not display the old ratings or Strong/Moderate/Limited labels. Those labels are historical documentation categories, not tested quality. Do not alter a published immutable release. Future numerical data needs a new versioned source and export target. ## What this release establishes This is desk research and editorial synthesis, not a hands-on performance study. Publicly documented availability can be checked through the row source links. The metadata archive establishes which numerical store values were used. We did not run identical garment photographs through all apps, time onboarding, purchase every plan, test output quality, or measure reliability. Any same-input checklist on the page is a proposed test protocol, not completed measurements. Product claims do not establish actual speed, savings, accuracy or user satisfaction. ## Data dictionary The first 11 columns preserve the original schema. September adds five evidence fields. | Column | Meaning | | --- | --- | | app | Normalized product name; app IDs identify the exact listings. | | pricing_model | Public model: Free, Free + in-app purchases, Free + premium, Free tier + subscriptions, Subscription-led, Free tier + premium, or Paid upfront. Not an annual total. | | platforms | Explicitly documented product platforms. A store web page, login alone, browser import extension or automatic Apple-silicon compatibility is not a full web/Mac product. Availability does not establish feature parity. | | languages | Count of languageCodesISO2A from the saved US Apple response. Not Android language coverage or a translation-quality assessment. | | ai_help | Strong: at least 3 documented groups among recommendations, outfit feedback, outfit generation and photo analysis. Moderate: 2. Limited: 0-1. Single-item image generation is not outfit generation. Breadth only, not quality. | | digital_wardrobe | Strong: inventory, item metadata and outfit linking. Moderate: inventory plus one additional group. Limited: lighter or unclear documentation. | | outfit_planner | Strong: saved outfits, scheduling/calendar and occasion/packing planning. Moderate: 2 groups. Limited: 0-1. | | closet_stats | Named documented cost, value, wear or tracking functions. May require a paid plan or manual logging. | | visual_search | Yes: photo-led item discovery or matching is documented. Not documented: reviewed sources were insufficient; not a verified absence. Upload, background removal and retailer URL import alone do not qualify. | | store_signal | US iOS averageUserRating, rounded to one decimal, and userRatingCount. Count means ratings, not written reviews or installs. | | source_url | Direct official US iOS listing, with tracking parameters removed. | | checked_at | Date of the public-source review: 2026-09-04. | | ios_version | Version returned by the archived US Apple catalog response. | | ios_download_usd | US iOS price to download, formatted to two decimals. Does not include subscriptions, credits, services or regional offers. | | ios_app_id | Apple trackId, a stable listing identifier. | | additional_source_urls | Additional first-party evidence URLs, separated by a spaced vertical bar. | CSV uses UTF-8, comma delimiters, quoted cells and a header. Blank performance fields are not supplied because no performance observations were collected. ## Feature evidence ledger The primary Apple listing for every entry is in `source_url`. Additional links are in `additional_source_urls` and visible on the page. These are paraphrased documentation findings, not independent verification of the promised experience. | App | Evidence behind the labels | Important boundary | | --- | --- | --- | | Beauty AI | Lists wardrobe-based suggestions, outfit feedback, generation and photo analysis; calendar planning, wardrobe value and online clothing discovery. Official Google Play listing confirms Android. | Generation allowances depend on the chosen plan. Photo discovery does not guarantee an exact available product. | | Fits | Lists AI outfit suggestions/generation, photo tagging, a closet and calendar; official site links iOS and Android. | Product-link import is not reverse-image search. Pro purchases and AI credits are separate listing entries. | | Stylebook | Lists inventory, outfit boards, calendar, packing and cost-per-wear. Photo processing is AI assistance; shuffle/manual boards are not counted as AI outfit generation. | US download $4.99. Apple Intelligence image functions require compatible hardware. No Android product confirmed in reviewed sources. | | Whering | Documents outfit boards, shuffle, calendar/packing, cost-per-wear and wear rate; official wardrobe web-launch page establishes web access. | Limited AI breadth does not downgrade manual planning. Photo upload and background removal do not establish clothing search. | | Acloset | Lists AI recommendations/chat feedback and photo analysis, calendar and cost/spending statistics. Official site links Android. | Free allowance is up to 100 clothes. A browser import extension is not counted as a complete web wardrobe. | | Indyx | Lists photo enhancement/tagging, wardrobe organization, outfit boards, planning and cost-per-wear. Official contact page confirms Android. | Paid human styling is not an AI recommendation capability. Membership and human services have separate costs. | | Cladwell | Documents outfit recommendations and photo-assisted cataloging, occasion planning and wear tracking. Official site offers a web product; Google Play confirms Android and cost-per-wear updates. | Subscription-led; web availability does not establish all native features. | | Alta Daily | Lists outfit suggestions/generation and photo analysis, calendar, cost-per-wear, wear counts and original-product-photo matching. Official site and Google Play identify web and Android access. | Matching a wardrobe photo to a catalog image differs from shopping search. Free is the current documented offer, not a lifetime guarantee. | | OpenWardrobe | Describes LolaAI recommendations/generation, photo attribute recognition, outfits, occasions, cost-per-wear and value/resale tools. Android is documented. | Calendar scheduling and full web wardrobe functionality were not established by the reviewed material; a login and browser extension alone do not qualify. | | SimpleCloset | Lists photo organization, manual/random outfit building, calendar, occasions and organization statistics. | No broad AI stylist or photo product search established. Premium expands the free offer. | | GetWardrobe | Lists AI outfit suggestions/generation, photo processing, calendar, packing, cost-per-wear and wardrobe value. Official listing identifies Android, iOS, Mac and web support. | The free 100-entry allowance combines items and outfits; advanced AI Studio functions can use credits. | ## Derived figures Denominator: the same 11 apps in all cases, no weights. - iPhone/iPad: 11. - Android: 9. - Web/Mac: 4 (Whering, Cladwell, Alta and GetWardrobe). - Strong documented AI breadth: 6. - Cost/value statistics: 9, where closet_stats names cost per wear, spending, wardrobe value or resale value. Wear rate alone would not qualify. - Photo-led discovery/matching: 2 (Beauty AI and Alta), with different purposes. - US iOS download price: 10 at $0; Stylebook at $4.99. The nine Android entries exclude Stylebook and SimpleCloset, for which this review only established iOS support. The nine cost/value entries exclude Fits and SimpleCloset. Unknown documentation is not proof of an absent feature. ## Interpretation and limitations Our useful distinction is the workflow and its restrictions, not the longest feature list. Manual boards, automated styling and a paid human stylist should not be treated as equivalent services. A free download is not a full-use budget. Platform and feature breadth can coexist with different paywalls and UX. The US rating samples vary widely in size. Do not rank product quality by a decimal difference, infer downloads from rating counts, or mix storefronts. A documented feature can be restricted by device, country, account or plan. The publisher has a commercial interest in Beauty AI; transparent sources do not remove that conflict. There is no independent testing claim. ## Release history - 2026.05 / 2026-05-02: initial 11-app public-source snapshot. - 2026.08-docs / 2026-08-08: documentation, citations and frozen May file; no row refresh. - 2026.09 / 2026-09-04: rechecked all 11 entries, archived Apple numerical data, refreshed versions/languages/ratings/download prices, corrected incomplete platform coverage and expanded feature evidence. Replaced unverified No values with Not documented. No timed same-photo testing. Differences from May include corrections and broader source collection. They are not a controlled time series of feature launches or market growth. ## Citation Beauty AI. (2026). Wardrobe App Benchmark 2026 (Version 2026.09) [Data set]. https://beautyai.app/wardrobe-app-benchmark-2026 Retain the version, snapshot date and canonical link when reproducing figures.