Your "100% cotton" often isn't. Point ClothTrace at any care label and in seconds get the real fiber composition, decoded wash symbols, and a health, planet and quality grade. It flags microplastics, PFAS and irritants in plain language. Free to tryout.
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Maker
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Hey Product Hunt,
I built ClothTrace because I kept buying clothes without any real idea what they were made of or what they put against my skin. The care label has the answers, but the fiber names are cryptic and the wash symbols are basically hieroglyphics.
So ClothTrace lets you point your camera at any care label and instantly get: the real fiber composition, the laundry symbols decoded into plain language, and a health/sustainability/quality read, including microplastic shedding and PFAS-risk finishes. Every grade traces to peer-reviewed or regulatory science, not marketing. Scans run on-device, no account needed, free to scan.
"Why not just use ChatGPT?" is the fair question, and yes, ClothTrace uses a vision model too. The difference is everything around it: a raw LLM hallucinates the fiber percentages and grades inconsistently. ClothTrace locks to the numbers printed on the label, cites its health sources, and grades by what the garment is actually for. The model is the easy part; the guardrails are the product.
Would love your feedback, especially on what you'd want to know about a garment before you buy it or before you wash it. <3
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How accurate is it really with blended fabrics, like a 60/40 cotton-poly mix? And does the free trial cover unlimited scans or just a few before they hit you with a subscription?
App reads the sewn-in label (or paper attached one) rather than guessing from the fabric. Meaning that a printed 60/40 cotton poly comes through as exactly like that. Blends are the normal case here. And when a label is glary or folded and app can only read part of it, the app says so and asks for another shot instead of guess, thats also key rule. No confident grades on half-read labels.
3 full scans free, no card, no timer - just to try, get a feel of full user flows and if you like it. After that it's a subscription, usual upfront.
And thanks for question, Povilas
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Scanned a few sweaters in my closet and was surprised how many claimed "100% cotton" came back flagged with polyester blends. The microplastics warning on my activewear was a real eye opener.
Report
Maker
@rdvantunzwcz1 yeah, and you got it, actually activewear get lots of heat right now in USA Texas on one brand: "forever chemicals", harm to humans and all those not nice things. People start paying more attention.
Report
Maker
Drop a care label into a chatbot and you get a guess that changes every time you ask. ClothTrace does one job: it locks onto the tag, reads the fibers and wash symbols into the same structured result every time, and turns it into a health, planet and quality grade with microplastics, PFAS and irritants flagged in simple language. It runs on-device so the read stays consistent, and when it's unsure it says so and lets you fix the scan. A checkable read, not a shifting paragraph.
Hey Product Hunt,
I built ClothTrace because I kept buying clothes without any real idea what they were made of or what they put against my skin. The care label has the answers, but the fiber names are cryptic and the wash symbols are basically hieroglyphics.
So ClothTrace lets you point your camera at any care label and instantly get: the real fiber composition, the laundry symbols decoded into plain language, and a health/sustainability/quality read, including microplastic shedding and PFAS-risk finishes. Every grade traces to peer-reviewed or regulatory science, not marketing. Scans run on-device, no account needed, free to scan.
"Why not just use ChatGPT?" is the fair question, and yes, ClothTrace uses a vision model too. The difference is everything around it: a raw LLM hallucinates the fiber percentages and grades inconsistently. ClothTrace locks to the numbers printed on the label, cites its health sources, and grades by what the garment is actually for. The model is the easy part; the guardrails are the product.
Would love your feedback, especially on what you'd want to know about a garment before you buy it or before you wash it. <3
How accurate is it really with blended fabrics, like a 60/40 cotton-poly mix? And does the free trial cover unlimited scans or just a few before they hit you with a subscription?
Hey @pakizesali12811
App reads the sewn-in label (or paper attached one) rather than guessing from the fabric. Meaning that a printed 60/40 cotton poly comes through as exactly like that. Blends are the normal case here. And when a label is glary or folded and app can only read part of it, the app says so and asks for another shot instead of guess, thats also key rule. No confident grades on half-read labels.
3 full scans free, no card, no timer - just to try, get a feel of full user flows and if you like it. After that it's a subscription, usual upfront.
And thanks for question,
Povilas
Scanned a few sweaters in my closet and was surprised how many claimed "100% cotton" came back flagged with polyester blends. The microplastics warning on my activewear was a real eye opener.
@rdvantunzwcz1 yeah, and you got it, actually activewear get lots of heat right now in USA Texas on one brand: "forever chemicals", harm to humans and all those not nice things. People start paying more attention.
Drop a care label into a chatbot and you get a guess that changes every time you ask. ClothTrace does one job: it locks onto the tag, reads the fibers and wash symbols into the same structured result every time, and turns it into a health, planet and quality grade with microplastics, PFAS and irritants flagged in simple language. It runs on-device so the read stays consistent, and when it's unsure it says so and lets you fix the scan. A checkable read, not a shifting paragraph.