This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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.
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
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.
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.
About ClothTrace on Product Hunt
“Scan any care label to know what you're wearing”
ClothTrace was submitted on Product Hunt and earned 0 upvotes and 4 comments, placing #70 on the daily leaderboard. 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.
ClothTrace was featured in iOS (110.5k followers), Health & Fitness (82.9k followers) and Fashion (14.5k followers) on Product Hunt. Together, these topics include over 71.5k products, making this a competitive space to launch in.
Who hunted ClothTrace?
ClothTrace was hunted by Povilas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ClothTrace stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Povilas
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