ColorCheck — your AI shopping guard for clothes in the wrong color

Every other color analysis app gives you an abstract palette and stops there. ColorCheck is the only app that gives you a BUY or SKIP verdict on the specific clothing item you're holding in the store. The palette is the entry point, not the product. After determining your color season from a 3-photo analysis, you point your camera at any garment and get a 3-second verdict — Olive Green 87% match BUY, or Mint Green 23% match SKIP with a suggested warmer alternative.

ColorCheck uses 3 photos in different lighting (selfie + close-up of eyes + wrist) and averages the results. A test of 23 people showed standard AI color analysis apps return correct results only 26% of the time when single-photo and binary. Multi-photo averaging plus confidence scoring addresses both failure modes. If your confidence score is below 70%, ColorCheck explicitly recommends a re-analysis with better lighting rather than committing to an uncertain season.

The 12-season system is the professional color analysis standard used by certified colorists worldwide. It extends the basic 4 seasons (Spring/Summer/Autumn/Winter) into 3 variations each:

• Spring: Light Spring, True Spring, Bright Spring
• Summer: Light Summer, True Summer, Soft Summer
• Autumn: Soft Autumn, True Autumn, Deep Autumn
• Winter: Cool Winter, True Winter, Deep Winter

It captures variation in undertone (warm/cool), contrast level (high/medium/low), and depth (light/medium/deep). Same framework professional stylists use in $200–800 consultations.

Three reasons:

• Single-photo apps are sensitive to lighting variation — a selfie in cool indoor light reads "cool" colors; the same person in warm window light reads "warm." Multi-photo averaging (ColorCheck's approach) fixes this.
• Binary verdicts with no confidence score hide uncertainty. If you're truly on the boundary between Soft Autumn and Soft Summer, different apps will land on different sides. ColorCheck's confidence score makes this visible.
• Training data differences — many apps trained primarily on light-skinned subjects perform poorly on darker skin tones. ColorCheck's training set covers all Fitzpatrick types.

If confidence is below 70%, ColorCheck explicitly says so and recommends re-analysis. Common causes:

• Photos taken in mixed lighting (window + indoor lamp)
• Heavy makeup that masks your natural undertone
• Hair color that doesn't match your natural color
• Photos with strong filters or skin smoothing

Retake in natural daylight (window light, no direct sun), no makeup, hair tied back. The repeat analysis is free and unlimited during your Pro subscription.

The scanner does three things:

1. Identifies the specific shade of the garment (e.g. "Warm Olive Green")
2. Compares it against your personal color palette to compute a match score (0–100%)
3. Returns the verdict with a one-sentence explanation

80%+ match = BUY IT. 40–79% = neutral, your call (it won't hurt you but isn't optimal). Under 40% = SKIP IT with a suggested alternative in your palette.

Yes, but accuracy improves in better lighting. Store lighting is typically biased — fitting rooms use warm halogen, fluorescent under-light, or fluorescent overhead. ColorCheck's scanner is calibrated to correct for common store lighting types. For best results in particularly bad lighting (very yellow incandescent, very blue LED), step closer to a window or store entrance.

Yes via screenshot. The Phase 2 feature corrects for known store filter biases — Anthropologie photos are noticeably warm/sepia, ASOS leans neutral, Zara varies. The scanner adjusts for the known filter pattern of each major retailer. For unfamiliar retailers, the scanner uses general color correction but flags lower confidence on the verdict.

For multi-color patterns, the scanner identifies the dominant color and gives a verdict on that. For complex patterns (florals, prints), it gives an "overall harmony score" — how well the combination of colors aligns with your palette. Generally: solid colors give the most reliable verdicts. Two-tone patterns work well. Complex prints are best evaluated by considering the dominant color individually.

Every time you scan an item in a store and get a SKIP verdict, the item's price tag value is added to your monthly savings counter. Home screen shows totals like "Saved $341 this month" based on actual purchases avoided. Most users find their savings exceed the annual subscription cost within the first 2–3 weeks. The counter creates visible ROI — wellness-tracking apps show streaks, ColorCheck shows dollars.

Yes. The 12-season color analysis system works across all skin tones, hair colors, and eye colors. Training data covers Fitzpatrick skin types I through VI. For darker skin tones specifically, the system relies more on undertone (warm/cool) and contrast level (high/medium/low) than on absolute skin color — the correct methodology used by professional colorists. The dominant user base is currently women aged 25–45, but the system is gender-neutral and works for all genders.

This is more common than people expect — particularly with Soft Autumn (muted earthy palette) and Light Summer (very desaturated palette). Two things to remember:

• Every season has rich and beautiful shades. Soft Autumn includes the deep rust of fall leaves, mossy greens, rich olives, warm taupes. The "muted" framing is misleading.
• Match score is a spectrum, not binary. 60% match doesn't mean "you can't wear this" — it means "decent, not ideal."

The celebrity color twin feature helps here — when Jessica Alba is your example, "Warm Autumn" stops feeling drab and starts feeling like a real aesthetic.

Yes — but for a different job. The stylist gave you a palette (the entry point). ColorCheck's value is the in-store BUY/SKIP scanner for individual items, which no stylist can give you when you're standing in Zara at 7 PM. Many ColorCheck users already know their season; they use the app for the scanner only.

Yes — vintage and thrift items are a common use case. The shade identification works on any clothing item regardless of where it came from. ColorCheck pairs well with SnapFlip for thrift store flipping — SnapFlip handles the resale price lookup and Flip Score, ColorCheck handles the personal-fit verdict.

Scan items already in your closet. Each gets a KEEP or DONATE verdict. The final report shows:

• Count of items in your palette (KEEP)
• Count of items outside your palette (DONATE candidates)
• Estimated dollars tied up in wrong-color clothing
• Resale value if you sell on Poshmark or ThredUp

Most users scan 10–30 items the first day. Positive framing: "These 7 items are PERFECT for you" rather than "Donate these 5." Generates the value moment that justifies the subscription before the trial ends.

Free to download with a 7-day free trial including full Pro access. No quiz before paywall, no email gate, clear close button on the subscription screen. After trial:

• Weekly: $4.99/week
• Annual: $39.99/year (saves 85% vs weekly)

Compare to a professional color analysis session: $200–800 with a stylist. ColorCheck Pro for an entire year costs less than the cheapest professional session — and you get the in-store BUY/SKIP scanner, which no stylist can give you in real time.

Industry data (RevenueCat 2026): 7-day trials have approximately 40.4% conversion rate vs 25.5% for 3-day trials. Three days isn't enough time for most users to actually go shopping and try the scanner in a real store. By Day 5 of a 7-day trial, most users have used it at least once on an actual purchase decision — generating the proof moment. ColorCheck deliberately uses 7 days because the trial needs to span at least one shopping event for the app to prove its value.

All subscriptions are managed through Apple. To cancel:

1. Open Settings
2. Tap your Apple ID
3. Tap Subscriptions
4. Find ColorCheck → tap Cancel Subscription

Takes effect at the end of the current billing period. The 7-day trial can be cancelled any time before it ends with no charge — no questions asked, no dark patterns.

Yes. Selfie photos used for color analysis are processed on-device when possible and stored locally to your iPhone — not uploaded to ColorCheck servers unless you explicitly choose iCloud sync. Anonymous color season metadata may be used to improve the AI model. Photos are never shared with third parties, used for advertising, or sold.

No. ColorCheck is an independent iOS app developed by Loveiko Labs, an app studio based in Pattaya, Thailand. It is not affiliated with, endorsed by, or partnered with any clothing retailer, brand, or e-commerce platform.