Stylist-grade
outfit intelligence,
through one API.
Turn any digital wardrobe into outfit recommendations people can actually wear.
Veedrobe understands weather, occasion, style preferences and wardrobe constraints — then returns ranked outfits with clear confidence and explanations.
Rain-safe, office-appropriate, balanced neutral palette. The watch is kept as the single warm accent.
Constraint handled
Sandal was not used because it is unsafe for rainy weather.
4 outfits generated · explainable, constraint-aware ranking
When a requested item can't be used safely, the API returns a reason instead of ignoring it.
Validated across adversarial styling tests, edge-case wardrobes and constraint-heavy scenarios using representative wardrobes and style profiles. View validation methodology →
More than a prompt.
A measurable styling engine.
LLMs are great at conversation. Outfit recommendation needs structured ranking, hard safety gates, confidence calibration and wardrobe-aware reasoning.
We combine deterministic outfit scoring with natural-language explanations — so the engine decides what to recommend and what to reject, and language only explains the difference.
Constraint-aware
User-kept items are honoured when possible — or transparently excluded with a reason when they're unsafe or unsuitable.
Candidate-complete
Eligible wardrobe staples enter the candidate pool before ranking — strong outfits aren't missed upstream.
Confidence-calibrated
High confidence is reserved for genuinely strong outfits, not handed out by default.
Safety-gated
Weather, formality and styling failures are de-ranked and clearly labelled.
From wardrobe to ranked outfits
Four steps. One request. Everything in between is the engine's job.
Send wardrobe
Item metadata, 512-dim FashionCLIP embeddings, or image-derived features — depending on your integration mode.
Add context
Season, occasion, temperature, weather, body type, style profile and constraints.
Get ranked outfits
Candidates generated, scored, safety-gated, then returned with calibrated confidence.
Explain & personalize
Each outfit ships with a reason, colour-harmony note and style tips in 7 languages.
One call. Predictable JSON.
REST, an Api-Key header,
and a JSON body. Every outfit comes back with a confidence score, a human-readable
label, the items used and an explanation.
- Standard HTTP status codes & error shapes
- Up to 20 ranked outfits per request
- Versioned, with a public changelog
curl -X POST https://service.veedrobe.com/api/v1/generate-outfits \
-H "Api-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"user_id": "stylist-42",
"season": "fall",
"context": "work",
"body_type": "hourglass",
"temperature": 12,
"weather_condition": "rainy",
"language": "en",
"keep_items": ["watch-01"],
"wardrobe": [ /* ... */ ]
}'{
"count": 4,
"outfits": [
{
"confidence": 0.74,
"score": 0.71,
"label": "very_compatible",
"items": ["trench-01", "shirt-01", "trouser-01", "oxford-01", "watch-01"],
"reason": "Rain-safe, office-appropriate; the watch stays the only accent.",
"color_harmony": "Neutral base with one warm metallic accent.",
"style_tips": "Belt the trench; let the watch finish the look."
}
],
"constraint_resolution": {
"honored_keep_items": ["watch-01"],
"dropped_keep_items": [
{ "item_id": "sandal-01", "reason": "season_mismatch",
"message": "I left out the sandals as they aren't suited to this weather." }
]
}
}Every outfit, fully described
A predictable JSON object per outfit — no parsing guesswork, no hidden state.
Ranked outfits
items — the pieces in each look, best first.
Calibrated confidence
confidence & score you can threshold on.
Safety & fit labels
label — very_compatible · good · moderate · incompatible.
Style explanations
reason — why this outfit, in 7 languages.
Colour-harmony notes
color_harmony — the palette logic.
Wear-it tips
style_tips — how to put it together.
Constraint resolution
constraint_resolution — honoured vs dropped keep-items, each with a reason.
Wardrobe gap signals
reason & floored confidence — when the wardrobe can't satisfy the request.
Built for fashion products
One engine behind closet apps, commerce, styling assistants and retail.
Closet apps
Recommend what to wear today from items the user already owns.
E-commerce
Show shoppers how a product fits into their wardrobe before they buy — and after.
Styling assistants
Generate ranked outfit options with explainable confidence at scale.
Retail CRM
Send weather-, style- and occasion-aware looks straight into campaigns.
Virtual try-on
Rank the best complete looks after a try-on session.
Personal styling
Accelerate a stylist's workflow with API-generated starting points.
A tested API that knows what to recommend,
what to reject, and how to explain the difference.
Add stylist-grade outfit intelligence to your product — without building a styling team.