App comparison

Wardrobe App Benchmark 2026

Compare 11 wardrobe apps by what you need to do: organize your clothes, plan outfits, track spending or find clothing from a photo. Public sources rechecked on September 4, 2026.

Quick answer

Our conclusion: a long feature list is not a useful winner score. Start with your device, wardrobe size and the job you need done. This comparison separates documented features from editorial interpretation; it does not report timed, same-photo app tests.

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App comparison

11 wardrobe apps: features, prices and limits

Filter by device, price and photo search. Check your local plan before subscribing.

Data and downloads

The September release rechecks all 11 apps, archives the numerical Apple metadata and corrects incomplete platform coverage in the earlier table. The original May CSV remains unchanged; differences between releases are not a measure of market growth.

Dataset version
2026.09
Data snapshot
Sample
11 apps
Documentation updated

Important limitation: This is a curated, non-random market sample based on public first-party sources. It measures documented capability breadth, not product quality or user satisfaction.

Versioned files are frozen. The JSON preserves numerical Apple metadata, not complete product pages. Feature descriptions are linked to their official sources and may change there.

11 apps visible

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Wardrobe App Benchmark 2026 — full 11-app comparison table
App Pricing Platforms Languages AI help Closet depth Planning depth Closet stats Visual search Store signal
Beauty AI
Official source [2] [3] 		Free + in-app purchases
US iOS download: $0.00		 iPhone, iPad, Android 24 Strong Strong Strong Wardrobe value Yes App Store US: 4.6/5 (15)
iOS v1.3.21
Fits
Official source [2] 		Free + in-app purchases
US iOS download: $0.00		 iPhone, iPad, Android 24 Strong Strong Strong Basic tracking Not documented App Store US: 4.6/5 (5233)
iOS v2.83.0
Stylebook
Official source 		Paid upfront
US iOS download: $4.99		 iPhone, iPad 6 Limited Strong Strong Cost per wear + style stats Not documented App Store US: 4.7/5 (8778)
iOS v10.1
Whering
Official source [2] [3] 		Free + in-app purchases
US iOS download: $0.00		 iPhone, Android, Web 6 Limited Strong Strong Cost per wear + wear rate Not documented App Store US: 4.7/5 (11521)
iOS v3.4.33
Acloset
Official source [2] 		Free tier + subscriptions
US iOS download: $0.00		 iPhone, iPad, Android 18 Strong Strong Strong Cost per wear + spending Not documented App Store US: 4.4/5 (5006)
iOS v6.36.0
Indyx
Official source [2] 		Free + in-app purchases
US iOS download: $0.00		 iPhone, iPad, Android 1 Limited Strong Strong Cost per wear + style stats Not documented App Store US: 4.8/5 (1550)
iOS v9.8.0
Cladwell
Official source [2] [3] 		Subscription-led
US iOS download: $0.00		 iPhone, iPad, Android, Web 13 Moderate Strong Strong Cost per wear + wear rate Not documented App Store US: 4.3/5 (1018)
iOS v5.12.4
Alta Daily
Official source [2] [3] 		Free
US iOS download: $0.00		 iPhone, iPad, Android, Web 1 Strong Strong Strong Cost per wear + wear rate Yes App Store US: 4.9/5 (13915)
iOS v2.2.3
OpenWardrobe
Official source [2] 		Free tier + subscriptions
US iOS download: $0.00		 iPhone, iPad, Android 1 Strong Strong Moderate Cost per wear + wardrobe value Not documented App Store US: 4.0/5 (170)
iOS v5.1.1
SimpleCloset
Official source 		Free + premium
US iOS download: $0.00		 iPhone, iPad 3 Limited Strong Strong Basic organization insights Not documented App Store US: 4.7/5 (752)
iOS v2.22.4
GetWardrobe
Official source [2] 		Free tier + premium
US iOS download: $0.00		 iPhone, iPad, Mac, Android, Web 41 Strong Strong Strong Cost per wear + wardrobe value Not documented App Store US: 4.3/5 (770)
iOS v2026.08.1

September 4, 2026 public-source comparison. Languages, ratings, rating counts, versions and download prices refer to the US iOS listing. Free download does not mean all features are free. Strong/Moderate/Limited describe documented breadth, not tested quality; Not documented does not mean unavailable.

Source: Beauty AI — Wardrobe App Benchmark 2026 (v2026.09)

How we compared the apps

Anyone can audit the sample from the row-level official source links and reproduce the normalization rules below. Unavailable public facts stay descriptive instead of being estimated.

#
  1. Select the sampleInclude publicly listed wardrobe, closet, outfit-planning, or AI-styling products with an accessible first-party source on the snapshot date.
  2. Capture primary sourcesUse official app-store listings and public product pages; preserve one direct source URL for every app row.
  3. Normalize fieldsMap pricing and platforms to consistent labels, then code capability depth from the published feature-group thresholds.
  4. Freeze the releasePublish a new versioned CSV after a material data recheck. Never rewrite an older snapshot without a change record.
Metric formulas and coding rules
MetricReproducible rule
Pricing modelNormalize the official listing into free with purchases, free tier with subscription, subscription-led, or paid upfront; do not infer hidden regional prices.
Platform coverageCount a platform only when an official listing names it. Coverage equals matching rows divided by the 11-app sample.
Language coverageCount languageCodesISO2A in the archived US Apple lookup response. This does not establish Android localization or translation quality.
AI helpStrong = at least 3 verified groups among recommendations, outfit feedback, generation, and photo analysis; Moderate = 2; Limited = 0–1.
Closet depthStrong requires inventory, item metadata, and outfit linking; Moderate requires inventory plus one group; Limited is lighter or unclear.
Planning depthStrong requires saved outfits, scheduling or calendar support, and situation-based planning; Moderate = 2 groups; Limited = 0–1.
Closet statsRecord the documented analytics type. Cost/value coverage counts rows explicitly mentioning cost per wear, spending, wardrobe value, or resale value.
Visual searchYes requires documented photo-led item discovery or matching; upload, background removal and retailer-link import alone do not qualify. Not documented means evidence was insufficient, not that the feature cannot exist.
Store signalUS iOS averageUserRating rounded to one decimal, followed by userRatingCount. These are ratings, not written reviews, and are not comparable install or satisfaction measurements.

Limitations and conflict disclosure

  • The 11-app sample is curated and intentionally not an exhaustive or statistically random market census.
  • Public listings may omit features available after onboarding or inside paid tiers, and values may vary by country.
  • Ratings, pricing, language counts, platform support, and product claims can change after the snapshot date.
  • Beauty AI created the dataset and is included in it. Transparent rules, direct sources, and no composite winner score make that conflict inspectable.
  • This release did not run the apps on identical photos. Completion times, output accuracy, reliability and paid-tier behavior remain unmeasured.

Dataset change log

  1. 2026.05 Initial 11-app data snapshot from official listings and public product pages.
  2. 2026.08-docs Added immutable snapshot packaging, data dictionary, formulas, limitations, citations, and embeds. No row values changed.
  3. 2026.09 Rechecked all 11 listings; refreshed versions, US ratings, language counts and download prices; corrected platform and feature coverage; added source metadata and explicit evidence limits. No new hands-on measurements.
Charts and reuse

Reuse these compact figures in an article, newsletter, or research note. The visible Beauty AI credit and canonical source link must remain attached.

#

Platform coverage in the 11-app sample

Documented platform availability on September 4, 2026. Desktop includes a documented web product or Mac app, not just a browser extension or an account login.

Source: Beauty AI — Wardrobe App Benchmark 2026 (v2026.09)
#
Documented feature coverage
MetricApps
Strong AI help6 / 11
Cost or wardrobe-value stats9 / 11
Visual search2 / 11
Source: Beauty AI — Wardrobe App Benchmark 2026 (v2026.09)
#
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Beauty AI, Fits or Whering: choose by task

Our recommendation: choose the task before the app. Beauty AI and Fits document wardrobe-based outfit suggestions; check generation limits and AI credits. For manual planning and wear tracking, compare Whering, Stylebook and Indyx. Indyx also offers paid human styling, a separate service from automated recommendations.

What this comparison can tell you

We checked official sources on September 4, 2026. Beauty AI publishes this comparison and is one of the 11 apps. Labels describe documented features, not measured speed or accuracy; identical-photo tests were not performed. Full rules and archived evidence are available in the expandable sections.

Free download is not the full cost

Stylebook costs $4.99 to download in the US App Store; the other ten apps have free downloads. Acloset describes a 100-item free allowance, while GetWardrobe counts items and outfits together within its 100-entry allowance. Check local subscriptions, AI credits and wardrobe limits before importing everything.

Photo search or wardrobe upload?

Beauty AI documents finding online clothing from a photo. Alta describes finding the original product image to help catalog a garment. Background removal and importing a retailer link are different functions. Neither documented workflow guarantees an exact match or an in-stock product.

Last updated: 2026-09-04

Related pages

Explore your shortlist

Compare apps, explore the wardrobe or calculate cost per wear.

FAQ

There is no measured overall winner. Shortlist by device, clothing allowance and task: manual planning, automated outfit suggestions, cost-per-wear tracking or photo discovery. The labels describe public documentation, not tested output quality.

The checked sources document Android for Beauty AI, Fits, Whering, Acloset, Indyx, Cladwell, Alta, OpenWardrobe and GetWardrobe. Verify availability and feature parity in your country before choosing.

Not necessarily. Ten of the eleven apps have a free US iOS download, but some charge for larger wardrobes, AI credits, memberships or styling. Stylebook has a $4.99 upfront download price in this snapshot.

Evidence Sources and methodology (25)

These references support the verifiable facts and methods above. Editorial judgments are identified separately.

  1. Apple catalog metadata, US storefront

    Apple Checked:

  2. Beauty AI — Official source

    Apple App Store Checked:

  3. Beauty AI — Official source

    Google Play Checked:

  4. Beauty AI — Official source

    Beauty AI Checked:

  5. Fits — Official source

    Apple App Store Checked:

  6. Fits — Official source

    Fits Checked:

  7. Stylebook — Official source

    Apple App Store Checked:

  8. Whering — Official source

    Apple App Store Checked:

  9. Whering — Official source

    Whering Checked:

  10. Whering — Official source

    Whering Checked:

  11. Acloset — Official source

    Apple App Store Checked:

  12. Acloset — Official source

    Acloset Checked:

  13. Indyx — Official source

    Apple App Store Checked:

  14. Indyx — Official source

    Indyx Checked:

  15. Cladwell — Official source

    Apple App Store Checked:

  16. Cladwell — Official source

    Google Play Checked:

  17. Cladwell — Official source

    Cladwell Checked:

  18. Alta Daily — Official source

    Apple App Store Checked:

  19. Alta Daily — Official source

    Google Play Checked:

  20. Alta Daily — Official source

    Alta Daily Checked:

  21. OpenWardrobe — Official source

    Apple App Store Checked:

  22. OpenWardrobe — Official source

    OpenWardrobe Checked:

  23. SimpleCloset — Official source

    Apple App Store Checked:

  24. GetWardrobe — Official source

    Apple App Store Checked:

  25. GetWardrobe — Official source

    Google Play Checked:

Evidence

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Markdown

[Wardrobe App Benchmark 2026 (2026-09-04)](https://beautyai.app/wardrobe-app-benchmark-2026#dataset-methodology)

HTML

<a href="https://beautyai.app/wardrobe-app-benchmark-2026#dataset-methodology">Wardrobe App Benchmark 2026 (2026-09-04)</a>