SuppChecker: Supplement Ingredients Scanner

Instantly check the scientific evidence and brand reliability of supplements on Amazon and iHerb. Science, not marketing.

Make health choices based on science, not marketing. Wondering if that dietary supplement actually works? Suppchecker is your smart shopping assistant that instantly analyzes supplements on Amazon and iHerb. Our extension provides you with clear scientific data, clinical study references, and trusted brand reviews directly on the product page. 🧠 WHAT SUPPCHECKER DOES: We decode complex scientific literature to help you understand if an ingredient is genuinely effective for your specific health goals (immunity, anti-inflammatory, energy, etc.). ✨ MAIN FEATURES: 🔬 Evidence-Based Evaluation: See at a glance the level of scientific evidence (e.g., N2) for a product's health benefits. We analyze whether health claims are backed by real data. 📚 Direct Access to Clinical Studies: Don't just take our word for it. Suppchecker integrates detailed summaries and direct links to clinical studies, scientific reviews, and meta-analyses (with DOIs) that prove (or disprove) a supplement's effectiveness. ⭐ Brand Trust & Reliability (Trustpilot): Shop safely. Instantly view a brand's Trustpilot rating (e.g., NOW Foods) to avoid counterfeits and shady companies. 💊 Build Your "Stack": Easily add scientifically validated supplements to your "Stack" to keep track of your ideal health routine. 🛒 Seamless Integration: Works automatically and smoothly right on Amazon and iHerb product pages. ⚡ HOW IT WORKS: Browse Amazon as you normally would. When you visit a dietary supplement product page, a floating panel will appear. Instantly discover scientific evidence and brand reliability, and make an informed purchasing decision directly on your Amazon product page. WHY CHOOSE SUPPCHECKER? Unlike basic price trackers, Suppchecker focuses on quality and scientific truth. Whether you are looking for Propolis, Vitamin D, or Magnesium, make sure your health investment is backed by reliable, peer-reviewed data.